Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +146 -0
- en_more_news-any-py3-none-any.whl +3 -0
- meta.json +54 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tokenizer +3 -0
- transformer/cfg +3 -0
- transformer/model +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +7010 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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en_more_news-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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transformer/model filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- spacy
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- token-classification
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language:
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- en
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model-index:
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- name: en_more_news
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results:
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- task:
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name: NER
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type: token-classification
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metrics:
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- name: NER Precision
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type: precision
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value: 1.0
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- name: NER Recall
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type: recall
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value: 1.0
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- name: NER F Score
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type: f_score
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value: 1.0
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---
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_more_news` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.6.1,<3.7.0` |
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| **Default Pipeline** | `transformer`, `ner` |
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| **Components** | `transformer`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | n/a |
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| **License** | n/a |
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| **Author** | [n/a]() |
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### Label Scheme
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<details>
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<summary>View label scheme (1 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `SECTOR` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `ENTS_F` | 100.00 |
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| `ENTS_P` | 100.00 |
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| `ENTS_R` | 100.00 |
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| `TRANSFORMER_LOSS` | 4998.07 |
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| `NER_LOSS` | 25089.99 |
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config.cfg
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[paths]
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train = "/content/training_data.spacy"
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dev = "/content/training_data.spacy"
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vectors = null
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init_tok2vec = null
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[system]
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gpu_allocator = "pytorch"
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["transformer","ner"]
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batch_size = 128
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disabled = []
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before_creation = null
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after_creation = null
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after_pipeline_creation = null
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tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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[components]
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[components.ner]
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factory = "ner"
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incorrect_spans_key = null
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moves = null
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scorer = {"@scorers":"spacy.ner_scorer.v1"}
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update_with_oracle_cut_size = 100
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[components.ner.model]
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@architectures = "spacy.TransitionBasedParser.v2"
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state_type = "ner"
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extra_state_tokens = false
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hidden_width = 64
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maxout_pieces = 2
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use_upper = false
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy-transformers.TransformerListener.v1"
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grad_factor = 1.0
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pooling = {"@layers":"reduce_mean.v1"}
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upstream = "*"
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[components.transformer]
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factory = "transformer"
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max_batch_items = 4096
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set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
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[components.transformer.model]
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@architectures = "spacy-transformers.TransformerModel.v3"
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name = "roberta-base"
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mixed_precision = false
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[components.transformer.model.get_spans]
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@span_getters = "spacy-transformers.strided_spans.v1"
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window = 128
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stride = 96
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[components.transformer.model.grad_scaler_config]
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[components.transformer.model.tokenizer_config]
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use_fast = true
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[components.transformer.model.transformer_config]
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[corpora]
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[corpora.dev]
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@readers = "spacy.Corpus.v1"
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path = ${paths.dev}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[corpora.train]
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@readers = "spacy.Corpus.v1"
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path = ${paths.train}
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max_length = 0
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gold_preproc = false
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limit = 0
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augmenter = null
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[training]
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accumulate_gradient = 3
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dev_corpus = "corpora.dev"
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train_corpus = "corpora.train"
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seed = ${system.seed}
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gpu_allocator = ${system.gpu_allocator}
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dropout = 0.1
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patience = 1600
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max_epochs = 0
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max_steps = 20000
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eval_frequency = 200
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frozen_components = []
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annotating_components = []
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before_to_disk = null
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before_update = null
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[training.batcher]
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@batchers = "spacy.batch_by_padded.v1"
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discard_oversize = true
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size = 2000
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buffer = 256
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get_length = null
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[training.logger]
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@loggers = "spacy.ConsoleLogger.v1"
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progress_bar = false
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[training.optimizer]
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@optimizers = "Adam.v1"
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beta1 = 0.9
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beta2 = 0.999
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L2_is_weight_decay = true
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L2 = 0.01
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grad_clip = 1.0
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use_averages = false
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eps = 0.00000001
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[training.optimizer.learn_rate]
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@schedules = "warmup_linear.v1"
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warmup_steps = 250
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total_steps = 20000
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initial_rate = 0.00005
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[training.score_weights]
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ents_f = 1.0
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ents_p = 0.0
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ents_r = 0.0
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ents_per_type = null
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[pretraining]
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[initialize]
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vectors = ${paths.vectors}
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init_tok2vec = ${paths.init_tok2vec}
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vocab_data = null
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lookups = null
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before_init = null
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after_init = null
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[initialize.components]
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[initialize.tokenizer]
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en_more_news-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f0100a360d4d8f10a0c815fc2f01871c3f4ce0d17f1273d500d29201a7350d6
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size 429586001
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meta.json
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{
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"lang":"en",
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"name":"more_news",
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"version":"0.0.0",
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"description":"",
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"author":"",
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"email":"",
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"url":"",
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"license":"",
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"spacy_version":">=3.6.1,<3.7.0",
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"spacy_git_version":"458bc5f45",
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"vectors":{
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"width":0,
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"vectors":0,
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"keys":0,
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"name":null
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},
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"labels":{
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"transformer":[
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],
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"ner":[
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"SECTOR"
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]
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},
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"pipeline":[
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"transformer",
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"ner"
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],
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"components":[
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"transformer",
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"ner"
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],
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"disabled":[
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],
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"performance":{
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"ents_f":1.0,
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"ents_p":1.0,
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"ents_r":1.0,
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"ents_per_type":{
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"SECTOR":{
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"p":1.0,
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"r":1.0,
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"f":1.0
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}
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},
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"transformer_loss":49.9807286325,
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"ner_loss":250.8999461961
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},
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"requirements":[
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"spacy-transformers>=1.3.4,<1.4.0"
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]
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}
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ner/cfg
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{
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"moves":null,
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"update_with_oracle_cut_size":100,
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"multitasks":[
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],
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"min_action_freq":1,
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"learn_tokens":false,
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"beam_width":1,
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"beam_density":0.0,
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"beam_update_prob":0.0,
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"incorrect_spans_key":null
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}
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ner/model
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Binary file (207 kB). View file
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ner/moves
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��moves�d{"0":{},"1":{"SECTOR":238},"2":{"SECTOR":238},"3":{"SECTOR":238},"4":{"SECTOR":238,"":1},"5":{"":1}}�cfg��neg_key�
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tokenizer
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|
1 |
+
[
|
2 |
+
"\t",
|
3 |
+
"\n",
|
4 |
+
"\r",
|
5 |
+
" ",
|
6 |
+
" \r",
|
7 |
+
" ",
|
8 |
+
"\"",
|
9 |
+
"\"Activity",
|
10 |
+
"\"At",
|
11 |
+
"\"India",
|
12 |
+
"\"Japanese",
|
13 |
+
"\"Master",
|
14 |
+
"\"On",
|
15 |
+
"\"The",
|
16 |
+
"\"Thirteen",
|
17 |
+
"\"Xx",
|
18 |
+
"\"Xxx",
|
19 |
+
"\"Xxxxx",
|
20 |
+
"\"activity",
|
21 |
+
"\"at",
|
22 |
+
"\"india",
|
23 |
+
"\"japanese",
|
24 |
+
"\"master",
|
25 |
+
"\"on",
|
26 |
+
"\"the",
|
27 |
+
"\"thirteen",
|
28 |
+
"\"xx",
|
29 |
+
"\"xxx",
|
30 |
+
"\"xxxx",
|
31 |
+
"$",
|
32 |
+
"%",
|
33 |
+
"%-5",
|
34 |
+
"&",
|
35 |
+
"&D.",
|
36 |
+
"&d.",
|
37 |
+
"'",
|
38 |
+
"''",
|
39 |
+
"'-(",
|
40 |
+
"'-)",
|
41 |
+
"'Cause",
|
42 |
+
"'Cos",
|
43 |
+
"'Coz",
|
44 |
+
"'Cuz",
|
45 |
+
"'S",
|
46 |
+
"'X",
|
47 |
+
"'Xxx",
|
48 |
+
"'Xxxxx",
|
49 |
+
"'am",
|
50 |
+
"'bout",
|
51 |
+
"'cause",
|
52 |
+
"'cos",
|
53 |
+
"'coz",
|
54 |
+
"'cuz",
|
55 |
+
"'d",
|
56 |
+
"'em",
|
57 |
+
"'ll",
|
58 |
+
"'m",
|
59 |
+
"'nuff",
|
60 |
+
"'re",
|
61 |
+
"'s",
|
62 |
+
"'ve",
|
63 |
+
"'x",
|
64 |
+
"'xx",
|
65 |
+
"'xxx",
|
66 |
+
"'xxxx",
|
67 |
+
"'y",
|
68 |
+
"(",
|
69 |
+
"(((",
|
70 |
+
"(*>",
|
71 |
+
"(*_*)",
|
72 |
+
"(-8",
|
73 |
+
"(-:",
|
74 |
+
"(-;",
|
75 |
+
"(-_-)",
|
76 |
+
"(-d",
|
77 |
+
"(._.)",
|
78 |
+
"(:",
|
79 |
+
"(;",
|
80 |
+
"(=",
|
81 |
+
"(>_<)",
|
82 |
+
"(^_^)",
|
83 |
+
"(o:",
|
84 |
+
"(x:",
|
85 |
+
"(x_x)",
|
86 |
+
"(\u00ac_\u00ac)",
|
87 |
+
"(\u0ca0_\u0ca0)",
|
88 |
+
"(\u256f\u00b0\u25a1\u00b0\uff09\u256f\ufe35\u253b\u2501\u253b",
|
89 |
+
")",
|
90 |
+
")))",
|
91 |
+
")-:",
|
92 |
+
").2",
|
93 |
+
").4",
|
94 |
+
")/\u00af",
|
95 |
+
"):",
|
96 |
+
"*",
|
97 |
+
"+",
|
98 |
+
",",
|
99 |
+
"-",
|
100 |
+
"-((",
|
101 |
+
"-))",
|
102 |
+
"-/",
|
103 |
+
"-0",
|
104 |
+
"-19",
|
105 |
+
"-3",
|
106 |
+
"-8",
|
107 |
+
"-D",
|
108 |
+
"-O",
|
109 |
+
"-P",
|
110 |
+
"-X",
|
111 |
+
"-_-",
|
112 |
+
"-__-",
|
113 |
+
"-d",
|
114 |
+
"-o",
|
115 |
+
"-p",
|
116 |
+
"-x",
|
117 |
+
"-|",
|
118 |
+
".",
|
119 |
+
"..",
|
120 |
+
"...",
|
121 |
+
".00",
|
122 |
+
".01",
|
123 |
+
".04",
|
124 |
+
".08",
|
125 |
+
".10",
|
126 |
+
".11",
|
127 |
+
".14",
|
128 |
+
".18",
|
129 |
+
".25",
|
130 |
+
".26",
|
131 |
+
".28",
|
132 |
+
".33",
|
133 |
+
".34",
|
134 |
+
".38",
|
135 |
+
".40",
|
136 |
+
".43",
|
137 |
+
".45",
|
138 |
+
".47",
|
139 |
+
".50",
|
140 |
+
".65",
|
141 |
+
".75",
|
142 |
+
".80",
|
143 |
+
".83",
|
144 |
+
".84",
|
145 |
+
".85",
|
146 |
+
".87",
|
147 |
+
".C.",
|
148 |
+
".D.",
|
149 |
+
".E.",
|
150 |
+
".G.",
|
151 |
+
".H.",
|
152 |
+
".J.",
|
153 |
+
".M.",
|
154 |
+
".S.",
|
155 |
+
".Y.",
|
156 |
+
"._.",
|
157 |
+
".e.",
|
158 |
+
".g.",
|
159 |
+
".m.",
|
160 |
+
".s.",
|
161 |
+
"/",
|
162 |
+
"/3",
|
163 |
+
"/d",
|
164 |
+
"/or",
|
165 |
+
"0",
|
166 |
+
"0.0",
|
167 |
+
"0.1",
|
168 |
+
"0.2",
|
169 |
+
"0.4",
|
170 |
+
"0.6",
|
171 |
+
"0.7",
|
172 |
+
"0.8",
|
173 |
+
"0.o",
|
174 |
+
"000",
|
175 |
+
"004",
|
176 |
+
"005",
|
177 |
+
"00L",
|
178 |
+
"00l",
|
179 |
+
"010",
|
180 |
+
"011",
|
181 |
+
"012",
|
182 |
+
"013",
|
183 |
+
"015",
|
184 |
+
"016",
|
185 |
+
"017",
|
186 |
+
"018",
|
187 |
+
"019",
|
188 |
+
"020",
|
189 |
+
"021",
|
190 |
+
"022",
|
191 |
+
"023",
|
192 |
+
"024",
|
193 |
+
"025",
|
194 |
+
"030",
|
195 |
+
"032",
|
196 |
+
"040",
|
197 |
+
"047",
|
198 |
+
"050",
|
199 |
+
"070",
|
200 |
+
"0Gt",
|
201 |
+
"0_0",
|
202 |
+
"0_o",
|
203 |
+
"0gt",
|
204 |
+
"0th",
|
205 |
+
"1",
|
206 |
+
"1).4",
|
207 |
+
"1,355",
|
208 |
+
"1,37,500",
|
209 |
+
"1,442",
|
210 |
+
"1,480.75",
|
211 |
+
"1,617",
|
212 |
+
"1,637",
|
213 |
+
"1.0",
|
214 |
+
"1.1",
|
215 |
+
"1.2",
|
216 |
+
"1.4",
|
217 |
+
"1.5",
|
218 |
+
"1.8",
|
219 |
+
"1/-",
|
220 |
+
"10",
|
221 |
+
"10.1",
|
222 |
+
"10.2",
|
223 |
+
"100",
|
224 |
+
"100,000",
|
225 |
+
"1000",
|
226 |
+
"103.80",
|
227 |
+
"109",
|
228 |
+
"10a.m",
|
229 |
+
"10a.m.",
|
230 |
+
"10p.m",
|
231 |
+
"10p.m.",
|
232 |
+
"10th",
|
233 |
+
"11",
|
234 |
+
"11.4",
|
235 |
+
"11.5",
|
236 |
+
"114",
|
237 |
+
"116.34",
|
238 |
+
"118.75",
|
239 |
+
"119",
|
240 |
+
"11:4",
|
241 |
+
"11a.m",
|
242 |
+
"11a.m.",
|
243 |
+
"11p.m",
|
244 |
+
"11p.m.",
|
245 |
+
"12",
|
246 |
+
"12.18",
|
247 |
+
"120",
|
248 |
+
"12a.m",
|
249 |
+
"12a.m.",
|
250 |
+
"12p.m",
|
251 |
+
"12p.m.",
|
252 |
+
"13",
|
253 |
+
"13.1",
|
254 |
+
"13.5",
|
255 |
+
"13.6",
|
256 |
+
"130",
|
257 |
+
"134",
|
258 |
+
"135",
|
259 |
+
"135.40",
|
260 |
+
"13:47",
|
261 |
+
"13D",
|
262 |
+
"13d",
|
263 |
+
"14",
|
264 |
+
"14%.Shares",
|
265 |
+
"14%.shares",
|
266 |
+
"15",
|
267 |
+
"15.25",
|
268 |
+
"15.8",
|
269 |
+
"150",
|
270 |
+
"151.4%.One",
|
271 |
+
"151.4%.one",
|
272 |
+
"155",
|
273 |
+
"156.6",
|
274 |
+
"157",
|
275 |
+
"158bn",
|
276 |
+
"16",
|
277 |
+
"16,969.85",
|
278 |
+
"16.5",
|
279 |
+
"17",
|
280 |
+
"179",
|
281 |
+
"17th",
|
282 |
+
"18",
|
283 |
+
"18.1",
|
284 |
+
"18.3",
|
285 |
+
"180",
|
286 |
+
"1885",
|
287 |
+
"19",
|
288 |
+
"19,036.83",
|
289 |
+
"1948",
|
290 |
+
"1950",
|
291 |
+
"1961",
|
292 |
+
"197.33",
|
293 |
+
"198",
|
294 |
+
"198.45",
|
295 |
+
"19th",
|
296 |
+
"1:4",
|
297 |
+
"1a.m",
|
298 |
+
"1a.m.",
|
299 |
+
"1bn",
|
300 |
+
"1p.m",
|
301 |
+
"1p.m.",
|
302 |
+
"2",
|
303 |
+
"2%-5",
|
304 |
+
"2,00,000",
|
305 |
+
"2,300",
|
306 |
+
"2,500",
|
307 |
+
"2,790",
|
308 |
+
"2,954",
|
309 |
+
"2.14",
|
310 |
+
"2.4",
|
311 |
+
"2.5",
|
312 |
+
"2.6",
|
313 |
+
"2.7",
|
314 |
+
"2.8",
|
315 |
+
"2.9",
|
316 |
+
"20",
|
317 |
+
"20.1",
|
318 |
+
"20.6",
|
319 |
+
"200",
|
320 |
+
"2004",
|
321 |
+
"2005",
|
322 |
+
"2010",
|
323 |
+
"2011",
|
324 |
+
"2012",
|
325 |
+
"2013",
|
326 |
+
"2015",
|
327 |
+
"2016",
|
328 |
+
"2017",
|
329 |
+
"2018",
|
330 |
+
"2019",
|
331 |
+
"2020",
|
332 |
+
"2021",
|
333 |
+
"2021.However",
|
334 |
+
"2021.however",
|
335 |
+
"2022",
|
336 |
+
"2022.Consensus",
|
337 |
+
"2022.consensus",
|
338 |
+
"2023",
|
339 |
+
"2023\u2019-",
|
340 |
+
"2024",
|
341 |
+
"2025",
|
342 |
+
"2030",
|
343 |
+
"2030\"",
|
344 |
+
"2032",
|
345 |
+
"2040",
|
346 |
+
"2047.Expected",
|
347 |
+
"2047.While",
|
348 |
+
"2047.expected",
|
349 |
+
"2047.while",
|
350 |
+
"2050",
|
351 |
+
"2070",
|
352 |
+
"21",
|
353 |
+
"21,664",
|
354 |
+
"213",
|
355 |
+
"215",
|
356 |
+
"215.1",
|
357 |
+
"218",
|
358 |
+
"22",
|
359 |
+
"22.4",
|
360 |
+
"220",
|
361 |
+
"23",
|
362 |
+
"23.04",
|
363 |
+
"23.50",
|
364 |
+
"23.Farmers",
|
365 |
+
"23.farmers",
|
366 |
+
"232",
|
367 |
+
"24",
|
368 |
+
"24,712.26",
|
369 |
+
"246",
|
370 |
+
"24X7",
|
371 |
+
"24th",
|
372 |
+
"24x7",
|
373 |
+
"25",
|
374 |
+
"250",
|
375 |
+
"25E",
|
376 |
+
"25L",
|
377 |
+
"25e",
|
378 |
+
"25l",
|
379 |
+
"26",
|
380 |
+
"262",
|
381 |
+
"265",
|
382 |
+
"27",
|
383 |
+
"28",
|
384 |
+
"28,000",
|
385 |
+
"28,480.10",
|
386 |
+
"28.Nirmal",
|
387 |
+
"28.nirmal",
|
388 |
+
"280",
|
389 |
+
"28030.84",
|
390 |
+
"281",
|
391 |
+
"285",
|
392 |
+
"29",
|
393 |
+
"29.2",
|
394 |
+
"291",
|
395 |
+
"296.75",
|
396 |
+
"2a.m",
|
397 |
+
"2a.m.",
|
398 |
+
"2p.m",
|
399 |
+
"2p.m.",
|
400 |
+
"3",
|
401 |
+
"3,134",
|
402 |
+
"3,198",
|
403 |
+
"3,777",
|
404 |
+
"3.01",
|
405 |
+
"3.1",
|
406 |
+
"3.11",
|
407 |
+
"3.34",
|
408 |
+
"3.4",
|
409 |
+
"3.5",
|
410 |
+
"3.6",
|
411 |
+
"3.9%.Buildings",
|
412 |
+
"3.9%.buildings",
|
413 |
+
"30",
|
414 |
+
"30\"",
|
415 |
+
"30.7",
|
416 |
+
"300",
|
417 |
+
"31",
|
418 |
+
"31,95,213",
|
419 |
+
"32",
|
420 |
+
"326",
|
421 |
+
"33",
|
422 |
+
"333",
|
423 |
+
"34",
|
424 |
+
"35",
|
425 |
+
"35,233.38",
|
426 |
+
"35.38",
|
427 |
+
"350",
|
428 |
+
"355",
|
429 |
+
"36,000",
|
430 |
+
"36.47",
|
431 |
+
"37",
|
432 |
+
"37%While",
|
433 |
+
"37%while",
|
434 |
+
"37,93,584",
|
435 |
+
"370",
|
436 |
+
"38",
|
437 |
+
"39",
|
438 |
+
"392",
|
439 |
+
"3a.m",
|
440 |
+
"3a.m.",
|
441 |
+
"3p.m",
|
442 |
+
"3p.m.",
|
443 |
+
"3\u2019-",
|
444 |
+
"4",
|
445 |
+
"4,180",
|
446 |
+
"4,280",
|
447 |
+
"4,326",
|
448 |
+
"4,96,047",
|
449 |
+
"4.0",
|
450 |
+
"4.00",
|
451 |
+
"4.1",
|
452 |
+
"4.25",
|
453 |
+
"4.4",
|
454 |
+
"4.8",
|
455 |
+
"40",
|
456 |
+
"40.1bn",
|
457 |
+
"41",
|
458 |
+
"42",
|
459 |
+
"42.8",
|
460 |
+
"422",
|
461 |
+
"426",
|
462 |
+
"43.6",
|
463 |
+
"44.4",
|
464 |
+
"442",
|
465 |
+
"45",
|
466 |
+
"45.4",
|
467 |
+
"48.7",
|
468 |
+
"49.2",
|
469 |
+
"49.9",
|
470 |
+
"494",
|
471 |
+
"49bn",
|
472 |
+
"4X7",
|
473 |
+
"4a.m",
|
474 |
+
"4a.m.",
|
475 |
+
"4p.m",
|
476 |
+
"4p.m.",
|
477 |
+
"4th",
|
478 |
+
"4x7",
|
479 |
+
"5",
|
480 |
+
"5,47,246",
|
481 |
+
"5,672",
|
482 |
+
"5.1",
|
483 |
+
"5.2",
|
484 |
+
"5.4",
|
485 |
+
"5.5",
|
486 |
+
"5.8",
|
487 |
+
"50",
|
488 |
+
"50.08",
|
489 |
+
"50.45",
|
490 |
+
"50.7",
|
491 |
+
"500",
|
492 |
+
"500L",
|
493 |
+
"500l",
|
494 |
+
"51",
|
495 |
+
"51.1",
|
496 |
+
"52.3.The",
|
497 |
+
"52.3.the",
|
498 |
+
"53.1",
|
499 |
+
"53.6",
|
500 |
+
"54",
|
501 |
+
"54,722",
|
502 |
+
"54.0",
|
503 |
+
"549.14",
|
504 |
+
"55.1",
|
505 |
+
"55.2",
|
506 |
+
"56.3",
|
507 |
+
"57.9",
|
508 |
+
"584",
|
509 |
+
"584375000",
|
510 |
+
"589",
|
511 |
+
"59.0",
|
512 |
+
"5G.",
|
513 |
+
"5a.m",
|
514 |
+
"5a.m.",
|
515 |
+
"5g.",
|
516 |
+
"5p.m",
|
517 |
+
"5p.m.",
|
518 |
+
"6",
|
519 |
+
"6.3",
|
520 |
+
"6.4",
|
521 |
+
"6.5",
|
522 |
+
"6.6",
|
523 |
+
"60",
|
524 |
+
"60.4",
|
525 |
+
"600",
|
526 |
+
"6000",
|
527 |
+
"60Gt",
|
528 |
+
"60gt",
|
529 |
+
"617",
|
530 |
+
"62",
|
531 |
+
"637",
|
532 |
+
"64",
|
533 |
+
"65",
|
534 |
+
"66.87",
|
535 |
+
"664",
|
536 |
+
"67,849.26",
|
537 |
+
"672",
|
538 |
+
"69",
|
539 |
+
"69.4",
|
540 |
+
"6G.",
|
541 |
+
"6a.m",
|
542 |
+
"6a.m.",
|
543 |
+
"6g.",
|
544 |
+
"6p.m",
|
545 |
+
"6p.m.",
|
546 |
+
"7",
|
547 |
+
"7.28",
|
548 |
+
"7.5",
|
549 |
+
"7.8",
|
550 |
+
"7.9",
|
551 |
+
"70",
|
552 |
+
"708",
|
553 |
+
"722",
|
554 |
+
"73",
|
555 |
+
"73.5",
|
556 |
+
"74,250",
|
557 |
+
"75",
|
558 |
+
"777",
|
559 |
+
"77th",
|
560 |
+
"79.18",
|
561 |
+
"790",
|
562 |
+
"7a.m",
|
563 |
+
"7a.m.",
|
564 |
+
"7p.m",
|
565 |
+
"7p.m.",
|
566 |
+
"7th",
|
567 |
+
"8",
|
568 |
+
"8)",
|
569 |
+
"8-",
|
570 |
+
"8-)",
|
571 |
+
"8-D",
|
572 |
+
"8-d",
|
573 |
+
"8.1",
|
574 |
+
"8.3",
|
575 |
+
"8.5",
|
576 |
+
"8.6",
|
577 |
+
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769 |
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775 |
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785 |
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789 |
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790 |
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808 |
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814 |
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825 |
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826 |
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828 |
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829 |
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830 |
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831 |
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832 |
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833 |
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834 |
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838 |
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839 |
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840 |
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845 |
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846 |
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847 |
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866 |
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898 |
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899 |
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900 |
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901 |
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902 |
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903 |
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904 |
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905 |
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906 |
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907 |
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908 |
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909 |
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910 |
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911 |
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912 |
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913 |
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914 |
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915 |
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916 |
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917 |
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918 |
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919 |
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920 |
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921 |
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922 |
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923 |
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924 |
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925 |
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926 |
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927 |
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928 |
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929 |
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930 |
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931 |
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932 |
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933 |
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934 |
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935 |
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936 |
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937 |
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938 |
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939 |
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940 |
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941 |
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950 |
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951 |
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952 |
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953 |
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954 |
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960 |
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961 |
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962 |
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963 |
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964 |
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965 |
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966 |
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967 |
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968 |
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969 |
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970 |
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971 |
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972 |
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973 |
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974 |
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975 |
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976 |
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977 |
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978 |
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979 |
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980 |
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981 |
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982 |
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983 |
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984 |
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985 |
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986 |
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987 |
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988 |
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989 |
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990 |
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991 |
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992 |
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993 |
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994 |
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995 |
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996 |
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997 |
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998 |
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999 |
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1000 |
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1001 |
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1002 |
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1003 |
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1004 |
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1005 |
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1006 |
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1007 |
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1008 |
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1009 |
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1010 |
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1011 |
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1012 |
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1013 |
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1014 |
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1015 |
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1016 |
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1017 |
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1018 |
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1019 |
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1020 |
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1021 |
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1022 |
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|
1023 |
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1024 |
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1025 |
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1027 |
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1030 |
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1033 |
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1036 |
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1037 |
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1039 |
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1048 |
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1050 |
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1051 |
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1052 |
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1053 |
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1054 |
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1055 |
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1056 |
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1057 |
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1058 |
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1059 |
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1060 |
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1061 |
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1062 |
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1063 |
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1064 |
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1065 |
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1066 |
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1067 |
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1068 |
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1069 |
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1070 |
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1071 |
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|
1072 |
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1073 |
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1074 |
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|
1075 |
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|
1076 |
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1077 |
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|
1078 |
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1079 |
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|
1080 |
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|
1081 |
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|
1082 |
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"Exhibitions",
|
1083 |
+
"F",
|
1084 |
+
"F&O",
|
1085 |
+
"F.",
|
1086 |
+
"FAANGs",
|
1087 |
+
"FADA",
|
1088 |
+
"FBY",
|
1089 |
+
"FCI",
|
1090 |
+
"FIIs",
|
1091 |
+
"FPI",
|
1092 |
+
"FPOs",
|
1093 |
+
"FPOs?and",
|
1094 |
+
"FSI",
|
1095 |
+
"FTSE",
|
1096 |
+
"FWA",
|
1097 |
+
"FY",
|
1098 |
+
"FY22",
|
1099 |
+
"FY24",
|
1100 |
+
"FY25E",
|
1101 |
+
"Facebook",
|
1102 |
+
"Family",
|
1103 |
+
"Farm",
|
1104 |
+
"Farmers",
|
1105 |
+
"FasalBimaYojna",
|
1106 |
+
"Feb",
|
1107 |
+
"Feb.",
|
1108 |
+
"February",
|
1109 |
+
"Fertilizers",
|
1110 |
+
"Finally",
|
1111 |
+
"Finance",
|
1112 |
+
"Financial",
|
1113 |
+
"Finer",
|
1114 |
+
"First",
|
1115 |
+
"Fiserv",
|
1116 |
+
"Fitch",
|
1117 |
+
"Fixes",
|
1118 |
+
"Fla",
|
1119 |
+
"Fla.",
|
1120 |
+
"Florida",
|
1121 |
+
"For",
|
1122 |
+
"Foreign",
|
1123 |
+
"Fortnightly",
|
1124 |
+
"Forty",
|
1125 |
+
"Four",
|
1126 |
+
"Frankfurt",
|
1127 |
+
"Fraud",
|
1128 |
+
"Friday",
|
1129 |
+
"From",
|
1130 |
+
"Fronx",
|
1131 |
+
"Fund",
|
1132 |
+
"Funds",
|
1133 |
+
"Further",
|
1134 |
+
"Furthermore",
|
1135 |
+
"G",
|
1136 |
+
"GDP",
|
1137 |
+
"GEL",
|
1138 |
+
"GICS",
|
1139 |
+
"GSDP",
|
1140 |
+
"GSVA",
|
1141 |
+
"GVA",
|
1142 |
+
"GW",
|
1143 |
+
"Ga",
|
1144 |
+
"Ga.",
|
1145 |
+
"Gahlot",
|
1146 |
+
"Gartner",
|
1147 |
+
"Gautam",
|
1148 |
+
"Gen",
|
1149 |
+
"Gen.",
|
1150 |
+
"General",
|
1151 |
+
"Georgia",
|
1152 |
+
"German",
|
1153 |
+
"Germany",
|
1154 |
+
"Ghosh",
|
1155 |
+
"Given",
|
1156 |
+
"Global",
|
1157 |
+
"Goin",
|
1158 |
+
"Goin'",
|
1159 |
+
"Going",
|
1160 |
+
"Goin\u2019",
|
1161 |
+
"Gon",
|
1162 |
+
"Good",
|
1163 |
+
"Google",
|
1164 |
+
"Got",
|
1165 |
+
"Gov",
|
1166 |
+
"Gov.",
|
1167 |
+
"Government",
|
1168 |
+
"Govindarajan",
|
1169 |
+
"Goyal",
|
1170 |
+
"Grama",
|
1171 |
+
"Grand",
|
1172 |
+
"Green",
|
1173 |
+
"Gross",
|
1174 |
+
"Group",
|
1175 |
+
"Growing",
|
1176 |
+
"Growth",
|
1177 |
+
"Gro\u00dfe",
|
1178 |
+
"Gujarat",
|
1179 |
+
"H",
|
1180 |
+
"HCL",
|
1181 |
+
"HCs",
|
1182 |
+
"HVAC",
|
1183 |
+
"Had",
|
1184 |
+
"Haidar",
|
1185 |
+
"Handicrafts",
|
1186 |
+
"Handlooms",
|
1187 |
+
"Harvard",
|
1188 |
+
"Has",
|
1189 |
+
"Have",
|
1190 |
+
"Havin",
|
1191 |
+
"Havin'",
|
1192 |
+
"Havin\u2019",
|
1193 |
+
"Hazardous",
|
1194 |
+
"He",
|
1195 |
+
"He's",
|
1196 |
+
"Head",
|
1197 |
+
"Health",
|
1198 |
+
"Held",
|
1199 |
+
"Hence",
|
1200 |
+
"Here",
|
1201 |
+
"He\u2019s",
|
1202 |
+
"Hi",
|
1203 |
+
"High",
|
1204 |
+
"Highlighting",
|
1205 |
+
"Himalayas",
|
1206 |
+
"Hindalco",
|
1207 |
+
"Hiring",
|
1208 |
+
"His",
|
1209 |
+
"Hold",
|
1210 |
+
"Hong",
|
1211 |
+
"Households",
|
1212 |
+
"How",
|
1213 |
+
"How's",
|
1214 |
+
"However",
|
1215 |
+
"How\u2019s",
|
1216 |
+
"Huawei",
|
1217 |
+
"Hubs",
|
1218 |
+
"Hurun",
|
1219 |
+
"Hyperloop",
|
1220 |
+
"Hyundai",
|
1221 |
+
"I",
|
1222 |
+
"I.E.",
|
1223 |
+
"I.e",
|
1224 |
+
"I.e.",
|
1225 |
+
"IARI",
|
1226 |
+
"IBS",
|
1227 |
+
"ICAR",
|
1228 |
+
"ICAR-",
|
1229 |
+
"ICMR",
|
1230 |
+
"ICS",
|
1231 |
+
"IFP",
|
1232 |
+
"II",
|
1233 |
+
"IIOF",
|
1234 |
+
"IIs",
|
1235 |
+
"IMPS",
|
1236 |
+
"IOF",
|
1237 |
+
"IPA",
|
1238 |
+
"IPO",
|
1239 |
+
"IS",
|
1240 |
+
"ISM",
|
1241 |
+
"IST",
|
1242 |
+
"IST.Debjani",
|
1243 |
+
"IT",
|
1244 |
+
"ITI",
|
1245 |
+
"IYW",
|
1246 |
+
"Ia",
|
1247 |
+
"Ia.",
|
1248 |
+
"Id",
|
1249 |
+
"Id.",
|
1250 |
+
"Idaho",
|
1251 |
+
"If",
|
1252 |
+
"Ignis",
|
1253 |
+
"Ill",
|
1254 |
+
"Ill.",
|
1255 |
+
"Illegal",
|
1256 |
+
"Illinois",
|
1257 |
+
"Impact",
|
1258 |
+
"Implementation",
|
1259 |
+
"Important",
|
1260 |
+
"In",
|
1261 |
+
"Inc",
|
1262 |
+
"Inc.",
|
1263 |
+
"IncomeThe",
|
1264 |
+
"Increased",
|
1265 |
+
"Ind",
|
1266 |
+
"Ind.",
|
1267 |
+
"Index",
|
1268 |
+
"India",
|
1269 |
+
"Indian",
|
1270 |
+
"Indiana",
|
1271 |
+
"Indians",
|
1272 |
+
"Industrial",
|
1273 |
+
"Industries",
|
1274 |
+
"Industry",
|
1275 |
+
"Ineffective",
|
1276 |
+
"Inegi",
|
1277 |
+
"Inflection",
|
1278 |
+
"Information",
|
1279 |
+
"Infosys",
|
1280 |
+
"Infrastructure",
|
1281 |
+
"Initiative",
|
1282 |
+
"Instead",
|
1283 |
+
"Institute",
|
1284 |
+
"Institutes",
|
1285 |
+
"Institutional",
|
1286 |
+
"Institutions",
|
1287 |
+
"Integrated",
|
1288 |
+
"Intel",
|
1289 |
+
"Intelligence",
|
1290 |
+
"Inter",
|
1291 |
+
"Interim",
|
1292 |
+
"Internal",
|
1293 |
+
"International",
|
1294 |
+
"Internet",
|
1295 |
+
"Invesco",
|
1296 |
+
"Investmart",
|
1297 |
+
"Investment",
|
1298 |
+
"Investments",
|
1299 |
+
"InvestmentsThe",
|
1300 |
+
"Investors",
|
1301 |
+
"Iowa",
|
1302 |
+
"Ireland",
|
1303 |
+
"Is",
|
1304 |
+
"It",
|
1305 |
+
"It's",
|
1306 |
+
"Its",
|
1307 |
+
"It\u2019s",
|
1308 |
+
"J",
|
1309 |
+
"JSW",
|
1310 |
+
"Jan",
|
1311 |
+
"Jan.",
|
1312 |
+
"January",
|
1313 |
+
"Japan",
|
1314 |
+
"Japanese",
|
1315 |
+
"Jaspal",
|
1316 |
+
"Jefferies",
|
1317 |
+
"Jibun",
|
1318 |
+
"Jimny",
|
1319 |
+
"Jindal",
|
1320 |
+
"Jio",
|
1321 |
+
"John",
|
1322 |
+
"Joshi",
|
1323 |
+
"Jr",
|
1324 |
+
"Jr.",
|
1325 |
+
"Judge",
|
1326 |
+
"Jul",
|
1327 |
+
"Jul.",
|
1328 |
+
"July",
|
1329 |
+
"Jun",
|
1330 |
+
"Jun.",
|
1331 |
+
"June",
|
1332 |
+
"Justice",
|
1333 |
+
"Jyotiraditya",
|
1334 |
+
"K",
|
1335 |
+
"K.",
|
1336 |
+
"KCC",
|
1337 |
+
"KISAN",
|
1338 |
+
"KSY",
|
1339 |
+
"KVKs",
|
1340 |
+
"KYC",
|
1341 |
+
"Kailash",
|
1342 |
+
"Kalaignar",
|
1343 |
+
"Kan",
|
1344 |
+
"Kan.",
|
1345 |
+
"Kans",
|
1346 |
+
"Kans.",
|
1347 |
+
"Kansas",
|
1348 |
+
"Kapil",
|
1349 |
+
"Kapoor",
|
1350 |
+
"Karnataka",
|
1351 |
+
"Kazakhstan",
|
1352 |
+
"Keltbray",
|
1353 |
+
"Kentucky",
|
1354 |
+
"Kerala",
|
1355 |
+
"Khadi",
|
1356 |
+
"Kharif",
|
1357 |
+
"Kisan",
|
1358 |
+
"Known",
|
1359 |
+
"Korea",
|
1360 |
+
"Krishi",
|
1361 |
+
"KrishiVigyanKendras",
|
1362 |
+
"Kumaralingapuram",
|
1363 |
+
"Kunnu",
|
1364 |
+
"Kurian",
|
1365 |
+
"Kuthambakkam",
|
1366 |
+
"Kuwait",
|
1367 |
+
"Kuwiati",
|
1368 |
+
"Ky",
|
1369 |
+
"Ky.",
|
1370 |
+
"L",
|
1371 |
+
"LSA",
|
1372 |
+
"La",
|
1373 |
+
"La.",
|
1374 |
+
"Last",
|
1375 |
+
"Launched",
|
1376 |
+
"Law",
|
1377 |
+
"Learning",
|
1378 |
+
"Let",
|
1379 |
+
"Let's",
|
1380 |
+
"Let\u2019s",
|
1381 |
+
"Levene",
|
1382 |
+
"Library",
|
1383 |
+
"Limited",
|
1384 |
+
"Littmann",
|
1385 |
+
"Local",
|
1386 |
+
"Lok",
|
1387 |
+
"Longhouse",
|
1388 |
+
"Looking",
|
1389 |
+
"Los",
|
1390 |
+
"Loss",
|
1391 |
+
"Louisiana",
|
1392 |
+
"Lovin",
|
1393 |
+
"Lovin'",
|
1394 |
+
"Lovin\u2019",
|
1395 |
+
"Ltd",
|
1396 |
+
"Ltd.",
|
1397 |
+
"Ludwigshafen",
|
1398 |
+
"M",
|
1399 |
+
"M&A",
|
1400 |
+
"M&E",
|
1401 |
+
"MD",
|
1402 |
+
"MIT",
|
1403 |
+
"MITRA",
|
1404 |
+
"MK",
|
1405 |
+
"MMF",
|
1406 |
+
"MOS",
|
1407 |
+
"MOs",
|
1408 |
+
"MPS",
|
1409 |
+
"MSCI",
|
1410 |
+
"MSP",
|
1411 |
+
"MSPs",
|
1412 |
+
"Ma'am",
|
1413 |
+
"Machinery",
|
1414 |
+
"Madhya",
|
1415 |
+
"Madurai",
|
1416 |
+
"Maharashtra",
|
1417 |
+
"Maharatna",
|
1418 |
+
"Mahindra",
|
1419 |
+
"Make",
|
1420 |
+
"Malappuram",
|
1421 |
+
"Malone",
|
1422 |
+
"Management",
|
1423 |
+
"Manager",
|
1424 |
+
"Managers",
|
1425 |
+
"Mandaviya",
|
1426 |
+
"Mann",
|
1427 |
+
"Mansukh",
|
1428 |
+
"Mantri",
|
1429 |
+
"Manufacturing",
|
1430 |
+
"Many",
|
1431 |
+
"Mar",
|
1432 |
+
"Mar.",
|
1433 |
+
"March",
|
1434 |
+
"Market",
|
1435 |
+
"Marketing",
|
1436 |
+
"Marriott",
|
1437 |
+
"Maruti",
|
1438 |
+
"Mass",
|
1439 |
+
"Mass.",
|
1440 |
+
"Massachusetts",
|
1441 |
+
"Master",
|
1442 |
+
"Mastercard",
|
1443 |
+
"Matthew",
|
1444 |
+
"May",
|
1445 |
+
"Ma\u2019am",
|
1446 |
+
"McKinsey",
|
1447 |
+
"Md",
|
1448 |
+
"Md.",
|
1449 |
+
"Meanwhile",
|
1450 |
+
"Medical",
|
1451 |
+
"Medium",
|
1452 |
+
"Meena",
|
1453 |
+
"Meeting",
|
1454 |
+
"Mega",
|
1455 |
+
"Megh",
|
1456 |
+
"Messrs",
|
1457 |
+
"Messrs.",
|
1458 |
+
"Meta",
|
1459 |
+
"Metal",
|
1460 |
+
"Metals",
|
1461 |
+
"Mexico",
|
1462 |
+
"Mich",
|
1463 |
+
"Mich.",
|
1464 |
+
"Michigan",
|
1465 |
+
"Microsoft",
|
1466 |
+
"Might",
|
1467 |
+
"Mills",
|
1468 |
+
"Minimum",
|
1469 |
+
"Mining",
|
1470 |
+
"Minister",
|
1471 |
+
"Ministerial",
|
1472 |
+
"Ministry",
|
1473 |
+
"Minn",
|
1474 |
+
"Minn.",
|
1475 |
+
"Minnesota",
|
1476 |
+
"Mishra",
|
1477 |
+
"Miss",
|
1478 |
+
"Miss.",
|
1479 |
+
"Mississippi",
|
1480 |
+
"Mizoram",
|
1481 |
+
"Mo",
|
1482 |
+
"Mo.",
|
1483 |
+
"MoSPI",
|
1484 |
+
"MoU",
|
1485 |
+
"Model(link",
|
1486 |
+
"Modi",
|
1487 |
+
"Mohammed",
|
1488 |
+
"Mohan",
|
1489 |
+
"Monday",
|
1490 |
+
"Moneycontrol",
|
1491 |
+
"Mont",
|
1492 |
+
"Mont.",
|
1493 |
+
"Morales",
|
1494 |
+
"Moreover",
|
1495 |
+
"Morningstar",
|
1496 |
+
"Moscow",
|
1497 |
+
"Motors",
|
1498 |
+
"Mount",
|
1499 |
+
"Moya",
|
1500 |
+
"Mr",
|
1501 |
+
"Mr.",
|
1502 |
+
"Mrs",
|
1503 |
+
"Mrs.",
|
1504 |
+
"Ms",
|
1505 |
+
"Ms.",
|
1506 |
+
"Mshaimesh",
|
1507 |
+
"Mt",
|
1508 |
+
"Mt.",
|
1509 |
+
"Mudon",
|
1510 |
+
"Mumbai",
|
1511 |
+
"Murdoch",
|
1512 |
+
"Murugappa",
|
1513 |
+
"Musk",
|
1514 |
+
"Must",
|
1515 |
+
"N",
|
1516 |
+
"N.C.",
|
1517 |
+
"N.D.",
|
1518 |
+
"N.H.",
|
1519 |
+
"N.J.",
|
1520 |
+
"N.M.",
|
1521 |
+
"N.Y.",
|
1522 |
+
"NGs",
|
1523 |
+
"NI",
|
1524 |
+
"NIPER",
|
1525 |
+
"NIPERs",
|
1526 |
+
"NITI",
|
1527 |
+
"NSDL",
|
1528 |
+
"NSE",
|
1529 |
+
"NSO",
|
1530 |
+
"NSSO",
|
1531 |
+
"Nadu",
|
1532 |
+
"Nahar",
|
1533 |
+
"Nanda",
|
1534 |
+
"Narendra",
|
1535 |
+
"Nasdaq",
|
1536 |
+
"Nasscom",
|
1537 |
+
"National",
|
1538 |
+
"Navigating",
|
1539 |
+
"Navratri",
|
1540 |
+
"Neb",
|
1541 |
+
"Neb.",
|
1542 |
+
"Nebr",
|
1543 |
+
"Nebr.",
|
1544 |
+
"Nebraska",
|
1545 |
+
"Need",
|
1546 |
+
"Neelkanth",
|
1547 |
+
"Nellithada",
|
1548 |
+
"Netflix",
|
1549 |
+
"Network",
|
1550 |
+
"Nev",
|
1551 |
+
"Nev.",
|
1552 |
+
"Nevada",
|
1553 |
+
"New",
|
1554 |
+
"New Hampshire",
|
1555 |
+
"New Jersey",
|
1556 |
+
"New Mexico",
|
1557 |
+
"New York",
|
1558 |
+
"Newhouse",
|
1559 |
+
"Nexa",
|
1560 |
+
"NielsenIQ",
|
1561 |
+
"Nieves",
|
1562 |
+
"Nifty",
|
1563 |
+
"Nigeria",
|
1564 |
+
"Nikhil",
|
1565 |
+
"Nirbhar",
|
1566 |
+
"Nirmala",
|
1567 |
+
"Nitin",
|
1568 |
+
"Nomura",
|
1569 |
+
"None",
|
1570 |
+
"North Carolina",
|
1571 |
+
"North Dakota",
|
1572 |
+
"Northern",
|
1573 |
+
"Not",
|
1574 |
+
"Notably",
|
1575 |
+
"Nothin",
|
1576 |
+
"Nothin'",
|
1577 |
+
"Nothin\u2019",
|
1578 |
+
"Nov",
|
1579 |
+
"Nov.",
|
1580 |
+
"November",
|
1581 |
+
"Now",
|
1582 |
+
"Nuthin",
|
1583 |
+
"Nuthin'",
|
1584 |
+
"Nuthin\u2019",
|
1585 |
+
"Nvidia",
|
1586 |
+
"O",
|
1587 |
+
"O'clock",
|
1588 |
+
"O.O",
|
1589 |
+
"O.o",
|
1590 |
+
"OCE",
|
1591 |
+
"OCS",
|
1592 |
+
"OPEC",
|
1593 |
+
"O_O",
|
1594 |
+
"O_o",
|
1595 |
+
"Obesity",
|
1596 |
+
"Observatory",
|
1597 |
+
"Oct",
|
1598 |
+
"Oct.",
|
1599 |
+
"October",
|
1600 |
+
"Of",
|
1601 |
+
"Office",
|
1602 |
+
"Officer",
|
1603 |
+
"Officers",
|
1604 |
+
"Okla",
|
1605 |
+
"Okla.",
|
1606 |
+
"Oklahoma",
|
1607 |
+
"Ol",
|
1608 |
+
"Ol'",
|
1609 |
+
"Ol\u2019",
|
1610 |
+
"On",
|
1611 |
+
"One",
|
1612 |
+
"Only",
|
1613 |
+
"Operational",
|
1614 |
+
"Opportunity",
|
1615 |
+
"Ore",
|
1616 |
+
"Ore.",
|
1617 |
+
"Oregon",
|
1618 |
+
"Organizations",
|
1619 |
+
"Ought",
|
1620 |
+
"Our",
|
1621 |
+
"Outlook",
|
1622 |
+
"Outlooks",
|
1623 |
+
"Outstanding",
|
1624 |
+
"Over",
|
1625 |
+
"Overall",
|
1626 |
+
"O\u2019clock",
|
1627 |
+
"P",
|
1628 |
+
"PDR",
|
1629 |
+
"PEC",
|
1630 |
+
"PER",
|
1631 |
+
"PIs",
|
1632 |
+
"PM",
|
1633 |
+
"PM2.5",
|
1634 |
+
"PMFBY",
|
1635 |
+
"PMI",
|
1636 |
+
"PMKSY",
|
1637 |
+
"PMS",
|
1638 |
+
"PMV",
|
1639 |
+
"POs",
|
1640 |
+
"PRA",
|
1641 |
+
"PSU",
|
1642 |
+
"PSUs",
|
1643 |
+
"PTI",
|
1644 |
+
"Pa",
|
1645 |
+
"Pa.",
|
1646 |
+
"Pakistan",
|
1647 |
+
"Pal",
|
1648 |
+
"Palanivel",
|
1649 |
+
"Panaji",
|
1650 |
+
"Panchayat",
|
1651 |
+
"Pantomath",
|
1652 |
+
"Parks",
|
1653 |
+
"Parliament",
|
1654 |
+
"Parviz",
|
1655 |
+
"Pathway",
|
1656 |
+
"Pathway(link",
|
1657 |
+
"Patna",
|
1658 |
+
"PayChex",
|
1659 |
+
"PayPal",
|
1660 |
+
"Payment",
|
1661 |
+
"Pennsylvania",
|
1662 |
+
"PepsiCo",
|
1663 |
+
"Petrochemicals",
|
1664 |
+
"Ph",
|
1665 |
+
"Ph.D.",
|
1666 |
+
"Pharma",
|
1667 |
+
"Pharmaceutical",
|
1668 |
+
"Pharmacy",
|
1669 |
+
"Pinterest",
|
1670 |
+
"Piyush",
|
1671 |
+
"Planet",
|
1672 |
+
"Pointing",
|
1673 |
+
"Policies",
|
1674 |
+
"Portfolio",
|
1675 |
+
"Positive",
|
1676 |
+
"Power",
|
1677 |
+
"Pradesh",
|
1678 |
+
"Pradhan",
|
1679 |
+
"Prefab",
|
1680 |
+
"Presence",
|
1681 |
+
"President",
|
1682 |
+
"Price",
|
1683 |
+
"Primary",
|
1684 |
+
"Prime",
|
1685 |
+
"Private",
|
1686 |
+
"Processing",
|
1687 |
+
"Producers",
|
1688 |
+
"Product",
|
1689 |
+
"Production",
|
1690 |
+
"Prof",
|
1691 |
+
"Prof.",
|
1692 |
+
"Programmatic",
|
1693 |
+
"Programme",
|
1694 |
+
"Project",
|
1695 |
+
"Prudential",
|
1696 |
+
"Public",
|
1697 |
+
"Punjab",
|
1698 |
+
"Purchasing",
|
1699 |
+
"Pusa",
|
1700 |
+
"Q",
|
1701 |
+
"Q2",
|
1702 |
+
"Q3FY24",
|
1703 |
+
"QQQ",
|
1704 |
+
"Qatar",
|
1705 |
+
"R",
|
1706 |
+
"R&D",
|
1707 |
+
"R&D.",
|
1708 |
+
"RDO",
|
1709 |
+
"ROCE",
|
1710 |
+
"ROOT",
|
1711 |
+
"ROs",
|
1712 |
+
"RSMW",
|
1713 |
+
"RSWM",
|
1714 |
+
"RTOs",
|
1715 |
+
"Rabi",
|
1716 |
+
"Rajan",
|
1717 |
+
"Ramadan",
|
1718 |
+
"Ramesh",
|
1719 |
+
"Rating",
|
1720 |
+
"Ratings",
|
1721 |
+
"Re",
|
1722 |
+
"Read",
|
1723 |
+
"Real",
|
1724 |
+
"Receivables",
|
1725 |
+
"Recent",
|
1726 |
+
"Recently",
|
1727 |
+
"Record",
|
1728 |
+
"Red",
|
1729 |
+
"ReelStar",
|
1730 |
+
"Region",
|
1731 |
+
"Regions",
|
1732 |
+
"Regulation",
|
1733 |
+
"Relations",
|
1734 |
+
"Reliance",
|
1735 |
+
"Renewable",
|
1736 |
+
"Renowned",
|
1737 |
+
"Rep",
|
1738 |
+
"Rep.",
|
1739 |
+
"Reported",
|
1740 |
+
"Rescuers",
|
1741 |
+
"Research",
|
1742 |
+
"Resilience",
|
1743 |
+
"Responsible",
|
1744 |
+
"Reuters",
|
1745 |
+
"Rev",
|
1746 |
+
"Rev.",
|
1747 |
+
"Revenue",
|
1748 |
+
"Revolution",
|
1749 |
+
"Rhetan",
|
1750 |
+
"Richard",
|
1751 |
+
"Risk",
|
1752 |
+
"Rooted",
|
1753 |
+
"Rs",
|
1754 |
+
"Rs.10218",
|
1755 |
+
"Rs.3000",
|
1756 |
+
"Rs.5.00",
|
1757 |
+
"Rs.6000",
|
1758 |
+
"Rs.6426",
|
1759 |
+
"Rupert",
|
1760 |
+
"Rural",
|
1761 |
+
"Russell",
|
1762 |
+
"Russia",
|
1763 |
+
"Russian",
|
1764 |
+
"S",
|
1765 |
+
"S&P",
|
1766 |
+
"S.C.",
|
1767 |
+
"SAIL",
|
1768 |
+
"SAN",
|
1769 |
+
"SAS",
|
1770 |
+
"SAUs",
|
1771 |
+
"SBI",
|
1772 |
+
"SCI",
|
1773 |
+
"SDL",
|
1774 |
+
"SDP",
|
1775 |
+
"SECTOR",
|
1776 |
+
"SHA",
|
1777 |
+
"SIM",
|
1778 |
+
"SMW",
|
1779 |
+
"SPDR",
|
1780 |
+
"SPI",
|
1781 |
+
"SPs",
|
1782 |
+
"SSO",
|
1783 |
+
"SUVs",
|
1784 |
+
"SUs",
|
1785 |
+
"SVA",
|
1786 |
+
"SVB",
|
1787 |
+
"SWM",
|
1788 |
+
"Sabha",
|
1789 |
+
"Saharanpur",
|
1790 |
+
"Salem",
|
1791 |
+
"Sales",
|
1792 |
+
"Salesforce",
|
1793 |
+
"Sanjay",
|
1794 |
+
"Santhapettai",
|
1795 |
+
"Santosh",
|
1796 |
+
"Saravanan",
|
1797 |
+
"Sarees",
|
1798 |
+
"Schedule",
|
1799 |
+
"School",
|
1800 |
+
"Scientific",
|
1801 |
+
"Scindia",
|
1802 |
+
"Secretary",
|
1803 |
+
"Sector",
|
1804 |
+
"Securities",
|
1805 |
+
"Select",
|
1806 |
+
"Selling",
|
1807 |
+
"Sellschop",
|
1808 |
+
"Sen",
|
1809 |
+
"Sen.",
|
1810 |
+
"Senior",
|
1811 |
+
"Sep",
|
1812 |
+
"Sep.",
|
1813 |
+
"Separate",
|
1814 |
+
"Sept",
|
1815 |
+
"Sept.",
|
1816 |
+
"September",
|
1817 |
+
"Service",
|
1818 |
+
"Services",
|
1819 |
+
"Several",
|
1820 |
+
"Sha",
|
1821 |
+
"Shah",
|
1822 |
+
"Shahbazov",
|
1823 |
+
"Shares",
|
1824 |
+
"Shashank",
|
1825 |
+
"She",
|
1826 |
+
"She's",
|
1827 |
+
"Sheikh",
|
1828 |
+
"Sheng",
|
1829 |
+
"She\u2019s",
|
1830 |
+
"Shifting",
|
1831 |
+
"Shortages",
|
1832 |
+
"Should",
|
1833 |
+
"Silicon",
|
1834 |
+
"Similarly",
|
1835 |
+
"Since",
|
1836 |
+
"Sinchai",
|
1837 |
+
"Singh",
|
1838 |
+
"Single",
|
1839 |
+
"Sitharaman",
|
1840 |
+
"Situation",
|
1841 |
+
"Situations",
|
1842 |
+
"Sizable",
|
1843 |
+
"Small",
|
1844 |
+
"Smart",
|
1845 |
+
"Snap",
|
1846 |
+
"So",
|
1847 |
+
"Society",
|
1848 |
+
"Some",
|
1849 |
+
"Somethin",
|
1850 |
+
"Somethin'",
|
1851 |
+
"Somethin\u2019",
|
1852 |
+
"South Carolina",
|
1853 |
+
"Speaking",
|
1854 |
+
"Specifically",
|
1855 |
+
"Spinners",
|
1856 |
+
"Spinning",
|
1857 |
+
"Srivastava",
|
1858 |
+
"St",
|
1859 |
+
"St.",
|
1860 |
+
"Stalin",
|
1861 |
+
"Standards",
|
1862 |
+
"Start",
|
1863 |
+
"Starting",
|
1864 |
+
"State",
|
1865 |
+
"StateBihar",
|
1866 |
+
"States",
|
1867 |
+
"Statistical",
|
1868 |
+
"Statistics",
|
1869 |
+
"Status",
|
1870 |
+
"Steel",
|
1871 |
+
"Stepping",
|
1872 |
+
"Stock",
|
1873 |
+
"Street",
|
1874 |
+
"Strengthen",
|
1875 |
+
"Strong",
|
1876 |
+
"Stubble",
|
1877 |
+
"Students",
|
1878 |
+
"Such",
|
1879 |
+
"Suisse",
|
1880 |
+
"Summit",
|
1881 |
+
"Suppliers",
|
1882 |
+
"Supply",
|
1883 |
+
"Support",
|
1884 |
+
"Survey",
|
1885 |
+
"Suzuki",
|
1886 |
+
"Swastika",
|
1887 |
+
"System",
|
1888 |
+
"Systems",
|
1889 |
+
"T",
|
1890 |
+
"TCS",
|
1891 |
+
"TFs",
|
1892 |
+
"TII",
|
1893 |
+
"TMT",
|
1894 |
+
"TOR",
|
1895 |
+
"TOs",
|
1896 |
+
"TRA",
|
1897 |
+
"TSE",
|
1898 |
+
"TSR",
|
1899 |
+
"Talking",
|
1900 |
+
"Tamil",
|
1901 |
+
"Tantalum",
|
1902 |
+
"Tata",
|
1903 |
+
"Tech",
|
1904 |
+
"Technical",
|
1905 |
+
"Technologies",
|
1906 |
+
"Technology",
|
1907 |
+
"Telangana",
|
1908 |
+
"Telecom",
|
1909 |
+
"TelecomTalk",
|
1910 |
+
"Telecommunications",
|
1911 |
+
"Telegraph",
|
1912 |
+
"Tenn",
|
1913 |
+
"Tenn.",
|
1914 |
+
"Tennessee",
|
1915 |
+
"Testing",
|
1916 |
+
"Tex",
|
1917 |
+
"Textile",
|
1918 |
+
"Textiles",
|
1919 |
+
"Thailand",
|
1920 |
+
"Thakur",
|
1921 |
+
"Thani",
|
1922 |
+
"That",
|
1923 |
+
"That's",
|
1924 |
+
"That\u2019s",
|
1925 |
+
"The",
|
1926 |
+
"Their",
|
1927 |
+
"There",
|
1928 |
+
"There's",
|
1929 |
+
"Therefore",
|
1930 |
+
"There\u2019s",
|
1931 |
+
"These",
|
1932 |
+
"They",
|
1933 |
+
"Thiaga",
|
1934 |
+
"Thirugnanam",
|
1935 |
+
"Thirumazhisai",
|
1936 |
+
"This",
|
1937 |
+
"This's",
|
1938 |
+
"This\u2019s",
|
1939 |
+
"Thomas",
|
1940 |
+
"Thomson",
|
1941 |
+
"Those",
|
1942 |
+
"Thursday",
|
1943 |
+
"Thus",
|
1944 |
+
"Tiruvallur",
|
1945 |
+
"To",
|
1946 |
+
"Today",
|
1947 |
+
"Tomar",
|
1948 |
+
"Total",
|
1949 |
+
"Tottolo",
|
1950 |
+
"Towards",
|
1951 |
+
"Tower",
|
1952 |
+
"Traditional",
|
1953 |
+
"Training",
|
1954 |
+
"Transforming",
|
1955 |
+
"Transition",
|
1956 |
+
"Tridens",
|
1957 |
+
"Trusts",
|
1958 |
+
"Tube",
|
1959 |
+
"Tuesday",
|
1960 |
+
"Turkey",
|
1961 |
+
"Twitter",
|
1962 |
+
"Typically",
|
1963 |
+
"U",
|
1964 |
+
"U.S.",
|
1965 |
+
"UAE",
|
1966 |
+
"UCO",
|
1967 |
+
"UK",
|
1968 |
+
"URU",
|
1969 |
+
"US",
|
1970 |
+
"US$",
|
1971 |
+
"USA",
|
1972 |
+
"USD",
|
1973 |
+
"UVs",
|
1974 |
+
"Ukraine",
|
1975 |
+
"Ultimately",
|
1976 |
+
"Under",
|
1977 |
+
"Undertakings",
|
1978 |
+
"Union",
|
1979 |
+
"United",
|
1980 |
+
"Universities",
|
1981 |
+
"Until",
|
1982 |
+
"Upcoming",
|
1983 |
+
"Ups",
|
1984 |
+
"Usamah",
|
1985 |
+
"Uttar",
|
1986 |
+
"Uzbekistan",
|
1987 |
+
"V",
|
1988 |
+
"V.V",
|
1989 |
+
"VAC",
|
1990 |
+
"VCI",
|
1991 |
+
"VGT",
|
1992 |
+
"VIVALDIPablo",
|
1993 |
+
"VKs",
|
1994 |
+
"V_V",
|
1995 |
+
"Va",
|
1996 |
+
"Va.",
|
1997 |
+
"Valley",
|
1998 |
+
"Value",
|
1999 |
+
"Vanguard",
|
2000 |
+
"Vardhman",
|
2001 |
+
"Variety",
|
2002 |
+
"Vedanta",
|
2003 |
+
"Vice",
|
2004 |
+
"Villagers",
|
2005 |
+
"Virginia",
|
2006 |
+
"Virudhunagar",
|
2007 |
+
"Visa",
|
2008 |
+
"Vitara",
|
2009 |
+
"Vivek",
|
2010 |
+
"W",
|
2011 |
+
"Walgreens",
|
2012 |
+
"Warren",
|
2013 |
+
"Was",
|
2014 |
+
"Wash",
|
2015 |
+
"Wash.",
|
2016 |
+
"Washington",
|
2017 |
+
"We",
|
2018 |
+
"Web2",
|
2019 |
+
"Web3",
|
2020 |
+
"Wednesday",
|
2021 |
+
"Welfare",
|
2022 |
+
"Were",
|
2023 |
+
"West",
|
2024 |
+
"Western",
|
2025 |
+
"What",
|
2026 |
+
"What's",
|
2027 |
+
"Whatever",
|
2028 |
+
"What\u2019s",
|
2029 |
+
"When",
|
2030 |
+
"When's",
|
2031 |
+
"When\u2019s",
|
2032 |
+
"Where",
|
2033 |
+
"Where's",
|
2034 |
+
"Whereas",
|
2035 |
+
"Where\u2019s",
|
2036 |
+
"While",
|
2037 |
+
"Who",
|
2038 |
+
"Who's",
|
2039 |
+
"Who\u2019s",
|
2040 |
+
"Why",
|
2041 |
+
"Why's",
|
2042 |
+
"Why\u2019s",
|
2043 |
+
"Wipro",
|
2044 |
+
"Wis",
|
2045 |
+
"Wis.",
|
2046 |
+
"Wisconsin",
|
2047 |
+
"With",
|
2048 |
+
"Within",
|
2049 |
+
"Wo",
|
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|
2533 |
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2534 |
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2535 |
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2536 |
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2537 |
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2538 |
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2539 |
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2540 |
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2541 |
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2542 |
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2543 |
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2544 |
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2545 |
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2546 |
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2547 |
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2548 |
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2549 |
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2550 |
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2551 |
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2552 |
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2553 |
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2554 |
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2555 |
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2556 |
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2557 |
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2558 |
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2559 |
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2560 |
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|
2561 |
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|
2562 |
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2563 |
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2564 |
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2565 |
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2566 |
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2567 |
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2568 |
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2569 |
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2570 |
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2571 |
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2572 |
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2573 |
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2574 |
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2575 |
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2576 |
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2577 |
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2578 |
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2579 |
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2580 |
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2581 |
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2582 |
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2583 |
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2584 |
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2585 |
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2586 |
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2587 |
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2588 |
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2589 |
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2590 |
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2591 |
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2592 |
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2593 |
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2594 |
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2595 |
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2596 |
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2597 |
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2598 |
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2599 |
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2600 |
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2601 |
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2602 |
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2603 |
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2604 |
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2605 |
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2606 |
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2607 |
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2608 |
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2609 |
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2610 |
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2611 |
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2612 |
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2613 |
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2614 |
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2615 |
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2616 |
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2617 |
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2618 |
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2619 |
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2620 |
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2621 |
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2622 |
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2623 |
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2624 |
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2625 |
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2626 |
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2627 |
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2628 |
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2629 |
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2630 |
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2631 |
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2632 |
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2633 |
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2634 |
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2635 |
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2636 |
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2637 |
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2638 |
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2639 |
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2640 |
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2641 |
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2642 |
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2643 |
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2644 |
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2645 |
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2646 |
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2647 |
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2648 |
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2649 |
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2650 |
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2651 |
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2652 |
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2653 |
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2654 |
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2655 |
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2656 |
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2657 |
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2658 |
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2659 |
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2660 |
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2661 |
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2662 |
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2663 |
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2664 |
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2665 |
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2666 |
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2667 |
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2668 |
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2669 |
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2670 |
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2671 |
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2674 |
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2675 |
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2676 |
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2677 |
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2678 |
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2679 |
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2680 |
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2681 |
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2682 |
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2700 |
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2718 |
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2722 |
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2723 |
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2800 |
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3000 |
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3020 |
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|
3022 |
+
"covid-19",
|
3023 |
+
"cow",
|
3024 |
+
"coz",
|
3025 |
+
"craftsmanship",
|
3026 |
+
"crash",
|
3027 |
+
"creaky",
|
3028 |
+
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|
3029 |
+
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|
3030 |
+
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|
3031 |
+
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|
3032 |
+
"creation",
|
3033 |
+
"creative",
|
3034 |
+
"creativity",
|
3035 |
+
"creators",
|
3036 |
+
"credibility",
|
3037 |
+
"credit",
|
3038 |
+
"creditors",
|
3039 |
+
"crisis",
|
3040 |
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|
3041 |
+
"criterion",
|
3042 |
+
"critical",
|
3043 |
+
"cro",
|
3044 |
+
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|
3045 |
+
"crops",
|
3046 |
+
"crore",
|
3047 |
+
"crore.n",
|
3048 |
+
"crores",
|
3049 |
+
"cros",
|
3050 |
+
"crossed",
|
3051 |
+
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|
3052 |
+
"csps",
|
3053 |
+
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|
3054 |
+
"cts",
|
3055 |
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|
3056 |
+
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|
3057 |
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|
3058 |
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|
3059 |
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|
3060 |
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|
3061 |
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|
3062 |
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3063 |
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3064 |
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3065 |
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3066 |
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3067 |
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3068 |
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3069 |
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|
3070 |
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|
3071 |
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|
3072 |
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|
3073 |
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|
3074 |
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|
3075 |
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|
3076 |
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|
3077 |
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|
3078 |
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|
3079 |
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3080 |
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3081 |
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3082 |
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3083 |
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3084 |
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3085 |
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3086 |
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3087 |
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3088 |
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3089 |
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|
3090 |
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3091 |
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3092 |
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3093 |
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3094 |
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3095 |
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3096 |
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3097 |
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3098 |
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3099 |
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3100 |
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|
3101 |
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|
3102 |
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3103 |
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3104 |
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3105 |
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3106 |
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3107 |
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3108 |
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3109 |
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|
3110 |
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|
3111 |
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|
3112 |
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3113 |
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3114 |
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3115 |
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3116 |
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3117 |
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3118 |
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3119 |
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3120 |
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3121 |
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3122 |
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3123 |
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3124 |
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3125 |
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3126 |
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3127 |
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"dd%xxxx",
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3128 |
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3129 |
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3130 |
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3131 |
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3132 |
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3133 |
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3134 |
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3135 |
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3136 |
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3137 |
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|
3138 |
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3139 |
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|
3140 |
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|
3141 |
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"ddXd",
|
3142 |
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"ddXx",
|
3143 |
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|
3144 |
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|
3145 |
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|
3146 |
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|
3147 |
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3148 |
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3149 |
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3150 |
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|
3151 |
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3152 |
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3153 |
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3154 |
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|
3155 |
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3156 |
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|
3157 |
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3158 |
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3159 |
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|
3160 |
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3161 |
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3162 |
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3163 |
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3164 |
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3165 |
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3166 |
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3167 |
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3168 |
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3169 |
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3170 |
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3171 |
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3172 |
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3173 |
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3174 |
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3175 |
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3176 |
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3177 |
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3178 |
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3179 |
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3180 |
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3181 |
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3182 |
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3183 |
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3184 |
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3185 |
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3186 |
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3187 |
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|
3188 |
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|
3189 |
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|
3190 |
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|
3191 |
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|
3192 |
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|
3193 |
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3194 |
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3195 |
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3196 |
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3197 |
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3198 |
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3199 |
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3200 |
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3201 |
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3202 |
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3203 |
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3204 |
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3205 |
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3206 |
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3207 |
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3208 |
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3209 |
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3210 |
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|
3211 |
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3212 |
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3213 |
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3214 |
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3215 |
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|
3216 |
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3217 |
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|
3218 |
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3219 |
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3220 |
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3221 |
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3222 |
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3223 |
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3224 |
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3225 |
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3226 |
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3227 |
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3228 |
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3229 |
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3230 |
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3231 |
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3232 |
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3233 |
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3234 |
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3235 |
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3236 |
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3237 |
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3238 |
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3239 |
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3240 |
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3241 |
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3242 |
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3243 |
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3244 |
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3245 |
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3246 |
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3247 |
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3248 |
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3249 |
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3250 |
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3251 |
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3252 |
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3253 |
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3254 |
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3255 |
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3256 |
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|
3257 |
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|
3258 |
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3259 |
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3260 |
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|
3261 |
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3262 |
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3263 |
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3264 |
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3265 |
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3266 |
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3267 |
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3268 |
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3269 |
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3270 |
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3271 |
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3272 |
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3273 |
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3274 |
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3275 |
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3276 |
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3277 |
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3278 |
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3279 |
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|
3280 |
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|
3281 |
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3282 |
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|
3283 |
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|
3284 |
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|
3285 |
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|
3286 |
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|
3287 |
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3288 |
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|
3289 |
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|
3290 |
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|
3291 |
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3292 |
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3293 |
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|
3294 |
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3295 |
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|
3296 |
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3297 |
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3298 |
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3299 |
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3300 |
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3301 |
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|
3302 |
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3303 |
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|
3304 |
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3305 |
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3306 |
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3307 |
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3308 |
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3309 |
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3310 |
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3311 |
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3312 |
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3313 |
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3314 |
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3315 |
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3316 |
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3317 |
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3318 |
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3319 |
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3320 |
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3321 |
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3322 |
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3323 |
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3324 |
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|
3325 |
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3326 |
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3327 |
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3328 |
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3329 |
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|
3330 |
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|
3331 |
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3332 |
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|
3333 |
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3334 |
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|
3335 |
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3336 |
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3337 |
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3338 |
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3339 |
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3340 |
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3341 |
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|
3342 |
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|
3343 |
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|
3344 |
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|
3345 |
+
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|
3346 |
+
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|
3347 |
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|
3348 |
+
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|
3349 |
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|
3350 |
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|
3351 |
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|
3352 |
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|
3353 |
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|
3354 |
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|
3355 |
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3356 |
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3357 |
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3358 |
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3359 |
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3360 |
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3361 |
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|
3362 |
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3363 |
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3364 |
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3365 |
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3366 |
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3367 |
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3368 |
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3369 |
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3370 |
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3371 |
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3372 |
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3373 |
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3374 |
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3375 |
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3376 |
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3377 |
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3378 |
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3379 |
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3380 |
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3381 |
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3382 |
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3383 |
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3384 |
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3385 |
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3386 |
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|
3387 |
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3388 |
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|
3389 |
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|
3390 |
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|
3391 |
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|
3392 |
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|
3393 |
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|
3394 |
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|
3395 |
+
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3396 |
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|
3397 |
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3398 |
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|
3399 |
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|
3400 |
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3401 |
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3402 |
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3403 |
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3404 |
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3405 |
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3406 |
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|
3407 |
+
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|
3408 |
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|
3409 |
+
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|
3410 |
+
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|
3411 |
+
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|
3412 |
+
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|
3413 |
+
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|
3414 |
+
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|
3415 |
+
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|
3416 |
+
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|
3417 |
+
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|
3418 |
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|
3419 |
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|
3420 |
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|
3421 |
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|
3422 |
+
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3423 |
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3424 |
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|
3425 |
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|
3426 |
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|
3427 |
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|
3428 |
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3429 |
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|
3430 |
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|
3431 |
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|
3432 |
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|
3433 |
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|
3434 |
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|
3435 |
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|
3436 |
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3437 |
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|
3438 |
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3439 |
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3440 |
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|
3441 |
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3442 |
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3443 |
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3444 |
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|
3445 |
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3446 |
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3447 |
+
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3448 |
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3449 |
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3450 |
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3451 |
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3452 |
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3453 |
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3454 |
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3455 |
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3456 |
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3457 |
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3458 |
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3459 |
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3460 |
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3461 |
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3462 |
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3463 |
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3464 |
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3465 |
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3466 |
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3467 |
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|
3468 |
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3469 |
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|
3470 |
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3471 |
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|
3472 |
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3473 |
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3474 |
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3475 |
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3476 |
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3477 |
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3478 |
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3479 |
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3480 |
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3481 |
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3482 |
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3483 |
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3484 |
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3485 |
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3486 |
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3487 |
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|
3488 |
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|
3489 |
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|
3490 |
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3491 |
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|
3492 |
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|
3493 |
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3494 |
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3495 |
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3496 |
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3497 |
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3498 |
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3499 |
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|
3500 |
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3501 |
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|
3502 |
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3503 |
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|
3504 |
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|
3505 |
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"english",
|
3506 |
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|
3507 |
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|
3508 |
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|
3509 |
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|
3510 |
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|
3511 |
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|
3512 |
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|
3513 |
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|
3514 |
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|
3515 |
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|
3516 |
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|
3517 |
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|
3518 |
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|
3519 |
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|
3520 |
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|
3521 |
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|
3522 |
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|
3523 |
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|
3524 |
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|
3525 |
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|
3526 |
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|
3527 |
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|
3528 |
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|
3529 |
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|
3530 |
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|
3531 |
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|
3532 |
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|
3533 |
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|
3534 |
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|
3535 |
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|
3536 |
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|
3537 |
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|
3538 |
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|
3539 |
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|
3540 |
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|
3541 |
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|
3542 |
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|
3543 |
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|
3544 |
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|
3545 |
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|
3546 |
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3547 |
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|
3548 |
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3549 |
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|
3550 |
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|
3551 |
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3552 |
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3553 |
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|
3554 |
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3555 |
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3556 |
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3557 |
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3558 |
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3559 |
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|
3560 |
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|
3561 |
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|
3562 |
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|
3563 |
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3564 |
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3565 |
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3566 |
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3567 |
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3568 |
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3569 |
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3570 |
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3571 |
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3572 |
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3573 |
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3574 |
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3575 |
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3576 |
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3577 |
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3578 |
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3579 |
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3580 |
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3581 |
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3582 |
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3583 |
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3584 |
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3585 |
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3586 |
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3587 |
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3588 |
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3589 |
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|
3590 |
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3591 |
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3592 |
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3593 |
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3594 |
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3595 |
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|
3596 |
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3597 |
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3598 |
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3599 |
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|
3600 |
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3601 |
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3602 |
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3603 |
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3604 |
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3605 |
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|
3606 |
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3607 |
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3608 |
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3609 |
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|
3610 |
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3611 |
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3612 |
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3613 |
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3614 |
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3615 |
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3616 |
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3617 |
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3618 |
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3619 |
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3620 |
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3621 |
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3622 |
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3623 |
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3624 |
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3625 |
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3626 |
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3627 |
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3628 |
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3629 |
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3630 |
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3631 |
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3632 |
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3633 |
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3634 |
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3635 |
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3636 |
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3637 |
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3638 |
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3639 |
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3640 |
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3641 |
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3642 |
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3643 |
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3644 |
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3645 |
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3646 |
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3647 |
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3648 |
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3649 |
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3650 |
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3651 |
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3652 |
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3653 |
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|
3654 |
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3655 |
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|
3656 |
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|
3657 |
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|
3658 |
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|
3659 |
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3660 |
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3661 |
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3662 |
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|
3663 |
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|
3664 |
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|
3665 |
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3666 |
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3667 |
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3668 |
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3669 |
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3670 |
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3671 |
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3672 |
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3673 |
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3674 |
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3675 |
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3676 |
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3677 |
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3678 |
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3679 |
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3680 |
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3681 |
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3682 |
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3683 |
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3684 |
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3685 |
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3686 |
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3687 |
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3688 |
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3689 |
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3690 |
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3691 |
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3692 |
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3693 |
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3694 |
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|
3695 |
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3696 |
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3697 |
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3698 |
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3699 |
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|
3700 |
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|
3701 |
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|
3702 |
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|
3703 |
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|
3704 |
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|
3705 |
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3706 |
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3707 |
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3708 |
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3709 |
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3710 |
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3711 |
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3712 |
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3713 |
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|
3714 |
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3715 |
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3716 |
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3717 |
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|
3718 |
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|
3719 |
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|
3720 |
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|
3721 |
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|
3722 |
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|
3723 |
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|
3724 |
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|
3725 |
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|
3726 |
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3727 |
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|
3728 |
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3729 |
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3730 |
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3731 |
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3732 |
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3733 |
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3734 |
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3735 |
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3736 |
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3737 |
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3738 |
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3739 |
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3740 |
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3741 |
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3742 |
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3743 |
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3744 |
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3745 |
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3746 |
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3747 |
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3748 |
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3749 |
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3750 |
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3751 |
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3752 |
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3753 |
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3754 |
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3755 |
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3756 |
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3757 |
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3758 |
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3759 |
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3760 |
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3761 |
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3762 |
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3763 |
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3764 |
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3765 |
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3766 |
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3767 |
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3768 |
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3769 |
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3770 |
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3771 |
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3772 |
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3773 |
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3774 |
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3775 |
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3776 |
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3777 |
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3778 |
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3779 |
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3780 |
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|
3781 |
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3782 |
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3783 |
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3784 |
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3785 |
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3786 |
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3787 |
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3788 |
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3789 |
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3790 |
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|
3791 |
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3792 |
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3793 |
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3794 |
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3795 |
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3796 |
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3797 |
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3798 |
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3799 |
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|
3800 |
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3801 |
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|
3802 |
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3803 |
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|
3804 |
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|
3805 |
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|
3806 |
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3807 |
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|
3808 |
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|
3809 |
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|
3810 |
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|
3811 |
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|
3812 |
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|
3813 |
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|
3814 |
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|
3815 |
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|
3816 |
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|
3817 |
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|
3818 |
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|
3819 |
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|
3820 |
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|
3821 |
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|
3822 |
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|
3823 |
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|
3824 |
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3825 |
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3826 |
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|
3827 |
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|
3828 |
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|
3829 |
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|
3830 |
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|
3831 |
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|
3832 |
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|
3833 |
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|
3834 |
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|
3835 |
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|
3836 |
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|
3837 |
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3838 |
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3839 |
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3840 |
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3841 |
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3842 |
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|
3843 |
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3844 |
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3845 |
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3846 |
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3847 |
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3848 |
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3849 |
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3850 |
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3851 |
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3852 |
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3853 |
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3854 |
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3855 |
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3856 |
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3857 |
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3858 |
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3859 |
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|
3860 |
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3861 |
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3862 |
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3863 |
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3864 |
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3865 |
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3866 |
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3867 |
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3868 |
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3869 |
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3870 |
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3871 |
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3872 |
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3873 |
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|
3874 |
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|
3875 |
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|
3876 |
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|
3877 |
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3878 |
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|
3879 |
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|
3880 |
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3881 |
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3882 |
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3883 |
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3884 |
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3885 |
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3886 |
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3887 |
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|
3888 |
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|
3889 |
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|
3890 |
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3891 |
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3892 |
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3893 |
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3894 |
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3895 |
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3896 |
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3897 |
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3898 |
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3899 |
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|
3900 |
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3901 |
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3902 |
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3903 |
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3904 |
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3905 |
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3906 |
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3907 |
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3908 |
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3909 |
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3910 |
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3911 |
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3912 |
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3913 |
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3914 |
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3915 |
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3916 |
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3917 |
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3918 |
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3919 |
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3920 |
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3921 |
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3922 |
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3923 |
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3924 |
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3925 |
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3926 |
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3927 |
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|
3928 |
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3929 |
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3930 |
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3931 |
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|
3932 |
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3933 |
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|
3934 |
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3935 |
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3936 |
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3937 |
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3938 |
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3939 |
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3940 |
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3941 |
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|
3942 |
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3943 |
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3944 |
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3945 |
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3946 |
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3947 |
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3948 |
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|
3949 |
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|
3950 |
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3951 |
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|
3952 |
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3953 |
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3954 |
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3955 |
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3956 |
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|
3957 |
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|
3958 |
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|
3959 |
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|
3960 |
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|
3961 |
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|
3962 |
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|
3963 |
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|
3964 |
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|
3965 |
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|
3966 |
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|
3967 |
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|
3968 |
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|
3969 |
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|
3970 |
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|
3971 |
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3972 |
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3973 |
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|
3974 |
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|
3975 |
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|
3976 |
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|
3977 |
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|
3978 |
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|
3979 |
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|
3980 |
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|
3981 |
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|
3982 |
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|
3983 |
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|
3984 |
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|
3985 |
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|
3986 |
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|
3987 |
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|
3988 |
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|
3989 |
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|
3990 |
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|
3991 |
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|
3992 |
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|
3993 |
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|
3994 |
+
"harvested",
|
3995 |
+
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|
3996 |
+
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|
3997 |
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|
3998 |
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|
3999 |
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"havin'",
|
4000 |
+
"having",
|
4001 |
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"havin\u2019",
|
4002 |
+
"hazard",
|
4003 |
+
"hazardous",
|
4004 |
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"hcl",
|
4005 |
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"hcs",
|
4006 |
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"he",
|
4007 |
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"he's",
|
4008 |
+
"head",
|
4009 |
+
"headed",
|
4010 |
+
"headline",
|
4011 |
+
"headmaster",
|
4012 |
+
"headroom",
|
4013 |
+
"headwinds",
|
4014 |
+
"health",
|
4015 |
+
"healthcare",
|
4016 |
+
"heat",
|
4017 |
+
"heating",
|
4018 |
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"heavily",
|
4019 |
+
"heavy",
|
4020 |
+
"hectare",
|
4021 |
+
"hectares",
|
4022 |
+
"hed",
|
4023 |
+
"hefty",
|
4024 |
+
"height",
|
4025 |
+
"heightened",
|
4026 |
+
"held",
|
4027 |
+
"help",
|
4028 |
+
"helped",
|
4029 |
+
"hem",
|
4030 |
+
"hen",
|
4031 |
+
"hence",
|
4032 |
+
"her",
|
4033 |
+
"here",
|
4034 |
+
"heritage",
|
4035 |
+
"hero",
|
4036 |
+
"hes",
|
4037 |
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"hew",
|
4038 |
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"hex",
|
4039 |
+
"hey",
|
4040 |
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"he\u2019s",
|
4041 |
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"hi",
|
4042 |
+
"high",
|
4043 |
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"higher",
|
4044 |
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"highest",
|
4045 |
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"highlight",
|
4046 |
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"highlighted",
|
4047 |
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"highlighting",
|
4048 |
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"highlights",
|
4049 |
+
"highs",
|
4050 |
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"hike",
|
4051 |
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"hil",
|
4052 |
+
"hilly",
|
4053 |
+
"him",
|
4054 |
+
"himalayas",
|
4055 |
+
"hin",
|
4056 |
+
"hindalco",
|
4057 |
+
"hinder",
|
4058 |
+
"hindering",
|
4059 |
+
"hinterlands",
|
4060 |
+
"hip",
|
4061 |
+
"hire",
|
4062 |
+
"hiring",
|
4063 |
+
"his",
|
4064 |
+
"historical",
|
4065 |
+
"historically",
|
4066 |
+
"hit",
|
4067 |
+
"hitting",
|
4068 |
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"hly",
|
4069 |
+
"hold",
|
4070 |
+
"holiday",
|
4071 |
+
"holistic",
|
4072 |
+
"hong",
|
4073 |
+
"hop",
|
4074 |
+
"hope",
|
4075 |
+
"hoped",
|
4076 |
+
"hopeful",
|
4077 |
+
"hopes",
|
4078 |
+
"horizontal",
|
4079 |
+
"horses",
|
4080 |
+
"hospitals",
|
4081 |
+
"host",
|
4082 |
+
"hosted",
|
4083 |
+
"hot",
|
4084 |
+
"hours",
|
4085 |
+
"housed",
|
4086 |
+
"household",
|
4087 |
+
"households",
|
4088 |
+
"housing",
|
4089 |
+
"how",
|
4090 |
+
"how's",
|
4091 |
+
"however",
|
4092 |
+
"how\u2019s",
|
4093 |
+
"hra",
|
4094 |
+
"hts",
|
4095 |
+
"huawei",
|
4096 |
+
"hub",
|
4097 |
+
"hubs",
|
4098 |
+
"huge",
|
4099 |
+
"human",
|
4100 |
+
"humans",
|
4101 |
+
"hundreds",
|
4102 |
+
"hungry",
|
4103 |
+
"hunting",
|
4104 |
+
"hurun",
|
4105 |
+
"hus",
|
4106 |
+
"hut",
|
4107 |
+
"hvac",
|
4108 |
+
"hya",
|
4109 |
+
"hyperloop",
|
4110 |
+
"hyundai",
|
4111 |
+
"i",
|
4112 |
+
"i.",
|
4113 |
+
"i.e",
|
4114 |
+
"i.e.",
|
4115 |
+
"iCo",
|
4116 |
+
"iShares",
|
4117 |
+
"ia",
|
4118 |
+
"ia.",
|
4119 |
+
"ial",
|
4120 |
+
"ian",
|
4121 |
+
"iari",
|
4122 |
+
"iaz",
|
4123 |
+
"ibs",
|
4124 |
+
"ica",
|
4125 |
+
"icar",
|
4126 |
+
"icar-",
|
4127 |
+
"ice",
|
4128 |
+
"ich",
|
4129 |
+
"ick",
|
4130 |
+
"icmr",
|
4131 |
+
"ico",
|
4132 |
+
"ics",
|
4133 |
+
"ict",
|
4134 |
+
"icy",
|
4135 |
+
"id",
|
4136 |
+
"id.",
|
4137 |
+
"ide",
|
4138 |
+
"ideal",
|
4139 |
+
"identical",
|
4140 |
+
"identifiable",
|
4141 |
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"identification",
|
4142 |
+
"identified",
|
4143 |
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"identify",
|
4144 |
+
"identifying",
|
4145 |
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"ied",
|
4146 |
+
"ief",
|
4147 |
+
"ier",
|
4148 |
+
"ies",
|
4149 |
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"iew",
|
4150 |
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"if",
|
4151 |
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"if.",
|
4152 |
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"ife",
|
4153 |
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"ifp",
|
4154 |
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"ift",
|
4155 |
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"ify",
|
4156 |
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"igh",
|
4157 |
+
"ign",
|
4158 |
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"ignis",
|
4159 |
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"ignoring",
|
4160 |
+
"ii",
|
4161 |
+
"iiof",
|
4162 |
+
"iis",
|
4163 |
+
"ika",
|
4164 |
+
"ike",
|
4165 |
+
"ikh",
|
4166 |
+
"ild",
|
4167 |
+
"ile",
|
4168 |
+
"ill",
|
4169 |
+
"ill.",
|
4170 |
+
"illegal",
|
4171 |
+
"ils",
|
4172 |
+
"ilt",
|
4173 |
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"ily",
|
4174 |
+
"ime",
|
4175 |
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"impact",
|
4176 |
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"impacts",
|
4177 |
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"impede",
|
4178 |
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"implement",
|
4179 |
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"implementation",
|
4180 |
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"implemented",
|
4181 |
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"implementing",
|
4182 |
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"implements",
|
4183 |
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"import",
|
4184 |
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"importance",
|
4185 |
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|
4186 |
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"imported",
|
4187 |
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"imports",
|
4188 |
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"imposed",
|
4189 |
+
"imposition",
|
4190 |
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"impressed",
|
4191 |
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"impressive",
|
4192 |
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"improve",
|
4193 |
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"improved",
|
4194 |
+
"improvement",
|
4195 |
+
"improves",
|
4196 |
+
"imps",
|
4197 |
+
"ims",
|
4198 |
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"in",
|
4199 |
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"in'",
|
4200 |
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"in-",
|
4201 |
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"ina",
|
4202 |
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"inaugurated",
|
4203 |
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"inc",
|
4204 |
+
"inc.",
|
4205 |
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"incentives",
|
4206 |
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"incident",
|
4207 |
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|
4208 |
+
"included",
|
4209 |
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|
4210 |
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"including",
|
4211 |
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"income",
|
4212 |
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"income-",
|
4213 |
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"incomes",
|
4214 |
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"incomethe",
|
4215 |
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"incorporate",
|
4216 |
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"increase",
|
4217 |
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|
4218 |
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"increasing",
|
4219 |
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"increasingly",
|
4220 |
+
"incumbent",
|
4221 |
+
"ind",
|
4222 |
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"ind.",
|
4223 |
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"index",
|
4224 |
+
"india",
|
4225 |
+
"indian",
|
4226 |
+
"indians",
|
4227 |
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|
4228 |
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"indicated",
|
4229 |
+
"indicates",
|
4230 |
+
"indicator",
|
4231 |
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"indicators",
|
4232 |
+
"indices",
|
4233 |
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|
4234 |
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"individuals",
|
4235 |
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"indulge",
|
4236 |
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"industrial",
|
4237 |
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"industrialist",
|
4238 |
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"industrials",
|
4239 |
+
"industries",
|
4240 |
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"industries.1",
|
4241 |
+
"industry",
|
4242 |
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"ine",
|
4243 |
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"ineffective",
|
4244 |
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|
4245 |
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"infamous",
|
4246 |
+
"infections",
|
4247 |
+
"inflation",
|
4248 |
+
"inflection",
|
4249 |
+
"inflows",
|
4250 |
+
"influencers",
|
4251 |
+
"informal",
|
4252 |
+
"information",
|
4253 |
+
"informed",
|
4254 |
+
"infosys",
|
4255 |
+
"infrastructure",
|
4256 |
+
"infrastructures",
|
4257 |
+
"infusion",
|
4258 |
+
"ing",
|
4259 |
+
"ingredient",
|
4260 |
+
"ingredients",
|
4261 |
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"ini",
|
4262 |
+
"initiated",
|
4263 |
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"initiative",
|
4264 |
+
"initiatives",
|
4265 |
+
"injuries",
|
4266 |
+
"ink",
|
4267 |
+
"inn",
|
4268 |
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"innovate",
|
4269 |
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"innovation",
|
4270 |
+
"innovations",
|
4271 |
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"innovative",
|
4272 |
+
"innovators",
|
4273 |
+
"inputs",
|
4274 |
+
"ins",
|
4275 |
+
"inside",
|
4276 |
+
"insights",
|
4277 |
+
"instability",
|
4278 |
+
"installation",
|
4279 |
+
"installments",
|
4280 |
+
"instance",
|
4281 |
+
"instances",
|
4282 |
+
"instead",
|
4283 |
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|
4284 |
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|
4285 |
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|
4286 |
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|
4287 |
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"institutions",
|
4288 |
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|
4289 |
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"insurance",
|
4290 |
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"int",
|
4291 |
+
"intact",
|
4292 |
+
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|
4293 |
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"integrating",
|
4294 |
+
"integration",
|
4295 |
+
"integrity",
|
4296 |
+
"intel",
|
4297 |
+
"intelligence",
|
4298 |
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|
4299 |
+
"intensified",
|
4300 |
+
"intensive",
|
4301 |
+
"intent",
|
4302 |
+
"inter",
|
4303 |
+
"interact",
|
4304 |
+
"interaction",
|
4305 |
+
"interactions",
|
4306 |
+
"interacts",
|
4307 |
+
"interconnected",
|
4308 |
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|
4309 |
+
"interests",
|
4310 |
+
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|
4311 |
+
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|
4312 |
+
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|
4313 |
+
"internal",
|
4314 |
+
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|
4315 |
+
"internet",
|
4316 |
+
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|
4317 |
+
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|
4318 |
+
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|
4319 |
+
"into",
|
4320 |
+
"intra",
|
4321 |
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"introduce",
|
4322 |
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|
4323 |
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|
4324 |
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|
4325 |
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|
4326 |
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|
4327 |
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|
4328 |
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|
4329 |
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|
4330 |
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|
4331 |
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|
4332 |
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|
4333 |
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|
4334 |
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|
4335 |
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|
4336 |
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|
4337 |
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|
4338 |
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"iod",
|
4339 |
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"iof",
|
4340 |
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"ion",
|
4341 |
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"ior",
|
4342 |
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|
4343 |
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"ipa",
|
4344 |
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"ipo",
|
4345 |
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"ips",
|
4346 |
+
"ipt",
|
4347 |
+
"ird",
|
4348 |
+
"ire",
|
4349 |
+
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|
4350 |
+
"irm",
|
4351 |
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"iron",
|
4352 |
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"irrespective",
|
4353 |
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|
4354 |
+
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|
4355 |
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"is",
|
4356 |
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"is.",
|
4357 |
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|
4358 |
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"ise",
|
4359 |
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|
4360 |
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|
4361 |
+
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|
4362 |
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|
4363 |
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|
4364 |
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|
4365 |
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|
4366 |
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|
4367 |
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|
4368 |
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|
4369 |
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|
4370 |
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|
4371 |
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"ist",
|
4372 |
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"ist.debjani",
|
4373 |
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"it",
|
4374 |
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|
4375 |
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"ita",
|
4376 |
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"ite",
|
4377 |
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|
4378 |
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"ith",
|
4379 |
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|
4380 |
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|
4381 |
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|
4382 |
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|
4383 |
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"ity",
|
4384 |
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|
4385 |
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"ium",
|
4386 |
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"ive",
|
4387 |
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"iya",
|
4388 |
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"iyw",
|
4389 |
+
"iz.",
|
4390 |
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"ize",
|
4391 |
+
"j",
|
4392 |
+
"j.",
|
4393 |
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|
4394 |
+
"jan",
|
4395 |
+
"jan.",
|
4396 |
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|
4397 |
+
"japan",
|
4398 |
+
"japanese",
|
4399 |
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"jaspal",
|
4400 |
+
"jay",
|
4401 |
+
"jefferies",
|
4402 |
+
"jibun",
|
4403 |
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"jig",
|
4404 |
+
"jimny",
|
4405 |
+
"jindal",
|
4406 |
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"jio",
|
4407 |
+
"jna",
|
4408 |
+
"job",
|
4409 |
+
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|
4410 |
+
"john",
|
4411 |
+
"jointly",
|
4412 |
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"jor",
|
4413 |
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"joshi",
|
4414 |
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"jr",
|
4415 |
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"jr.",
|
4416 |
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"jsw",
|
4417 |
+
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|
4418 |
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"jul",
|
4419 |
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"jul.",
|
4420 |
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|
4421 |
+
"jump",
|
4422 |
+
"jumped",
|
4423 |
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"jun",
|
4424 |
+
"jun.",
|
4425 |
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"june",
|
4426 |
+
"junk",
|
4427 |
+
"just",
|
4428 |
+
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|
4429 |
+
"jyotiraditya",
|
4430 |
+
"k",
|
4431 |
+
"k.",
|
4432 |
+
"kailash",
|
4433 |
+
"kalaignar",
|
4434 |
+
"kam",
|
4435 |
+
"kan",
|
4436 |
+
"kan.",
|
4437 |
+
"kans",
|
4438 |
+
"kans.",
|
4439 |
+
"kapil",
|
4440 |
+
"kapoor",
|
4441 |
+
"karnataka",
|
4442 |
+
"kay",
|
4443 |
+
"kazakhstan",
|
4444 |
+
"kcc",
|
4445 |
+
"ked",
|
4446 |
+
"keep",
|
4447 |
+
"keeping",
|
4448 |
+
"keltbray",
|
4449 |
+
"ken",
|
4450 |
+
"ker",
|
4451 |
+
"kerala",
|
4452 |
+
"kes",
|
4453 |
+
"ket",
|
4454 |
+
"key",
|
4455 |
+
"khadi",
|
4456 |
+
"kharif",
|
4457 |
+
"khs",
|
4458 |
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"kind",
|
4459 |
+
"kinks",
|
4460 |
+
"kir",
|
4461 |
+
"kisan",
|
4462 |
+
"kla",
|
4463 |
+
"kle",
|
4464 |
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"kly",
|
4465 |
+
"km",
|
4466 |
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|
4467 |
+
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|
4468 |
+
"known",
|
4469 |
+
"korea",
|
4470 |
+
"krishi",
|
4471 |
+
"krishivigyankendras",
|
4472 |
+
"ksy",
|
4473 |
+
"kumaralingapuram",
|
4474 |
+
"kunnu",
|
4475 |
+
"kur",
|
4476 |
+
"kurian",
|
4477 |
+
"kuthambakkam",
|
4478 |
+
"kuwait",
|
4479 |
+
"kuwiati",
|
4480 |
+
"kvks",
|
4481 |
+
"ky",
|
4482 |
+
"ky.",
|
4483 |
+
"kyc",
|
4484 |
+
"l",
|
4485 |
+
"l.",
|
4486 |
+
"la",
|
4487 |
+
"la.",
|
4488 |
+
"lab",
|
4489 |
+
"labor",
|
4490 |
+
"laborers",
|
4491 |
+
"labour",
|
4492 |
+
"labourers",
|
4493 |
+
"lack",
|
4494 |
+
"lacunae",
|
4495 |
+
"lagged",
|
4496 |
+
"laid",
|
4497 |
+
"lakh",
|
4498 |
+
"lakhs",
|
4499 |
+
"lan",
|
4500 |
+
"land",
|
4501 |
+
"lands",
|
4502 |
+
"landscape",
|
4503 |
+
"landslide",
|
4504 |
+
"language",
|
4505 |
+
"languages",
|
4506 |
+
"lar",
|
4507 |
+
"large",
|
4508 |
+
"largely",
|
4509 |
+
"larger",
|
4510 |
+
"largest",
|
4511 |
+
"last",
|
4512 |
+
"lasted",
|
4513 |
+
"latency",
|
4514 |
+
"later",
|
4515 |
+
"latest",
|
4516 |
+
"launched",
|
4517 |
+
"launchpad",
|
4518 |
+
"law",
|
4519 |
+
"lay",
|
4520 |
+
"layer",
|
4521 |
+
"laying",
|
4522 |
+
"layoff",
|
4523 |
+
"lco",
|
4524 |
+
"lds",
|
4525 |
+
"lead",
|
4526 |
+
"leader",
|
4527 |
+
"leaders",
|
4528 |
+
"leadership",
|
4529 |
+
"leading",
|
4530 |
+
"leads",
|
4531 |
+
"learn",
|
4532 |
+
"learning",
|
4533 |
+
"leasing",
|
4534 |
+
"least",
|
4535 |
+
"leave",
|
4536 |
+
"leaving",
|
4537 |
+
"led",
|
4538 |
+
"legal",
|
4539 |
+
"legislation",
|
4540 |
+
"lem",
|
4541 |
+
"len",
|
4542 |
+
"lens",
|
4543 |
+
"ler",
|
4544 |
+
"les",
|
4545 |
+
"less",
|
4546 |
+
"let",
|
4547 |
+
"let's",
|
4548 |
+
"lets",
|
4549 |
+
"let\u2019s",
|
4550 |
+
"level",
|
4551 |
+
"levels",
|
4552 |
+
"levene",
|
4553 |
+
"leveraging",
|
4554 |
+
"levers",
|
4555 |
+
"levy",
|
4556 |
+
"ley",
|
4557 |
+
"lge",
|
4558 |
+
"lh",
|
4559 |
+
"lhi",
|
4560 |
+
"lia",
|
4561 |
+
"liabilities",
|
4562 |
+
"library",
|
4563 |
+
"lic",
|
4564 |
+
"lid",
|
4565 |
+
"lif",
|
4566 |
+
"life",
|
4567 |
+
"lifestyles",
|
4568 |
+
"light",
|
4569 |
+
"like",
|
4570 |
+
"likelihood",
|
4571 |
+
"likely",
|
4572 |
+
"likes",
|
4573 |
+
"limited",
|
4574 |
+
"limits",
|
4575 |
+
"lin",
|
4576 |
+
"line",
|
4577 |
+
"link",
|
4578 |
+
"linked",
|
4579 |
+
"lio",
|
4580 |
+
"lion",
|
4581 |
+
"liquid",
|
4582 |
+
"list",
|
4583 |
+
"listed",
|
4584 |
+
"literature",
|
4585 |
+
"little",
|
4586 |
+
"littmann",
|
4587 |
+
"living",
|
4588 |
+
"lix",
|
4589 |
+
"ll",
|
4590 |
+
"ll.",
|
4591 |
+
"lls",
|
4592 |
+
"lly",
|
4593 |
+
"lo.",
|
4594 |
+
"loan",
|
4595 |
+
"local",
|
4596 |
+
"locations",
|
4597 |
+
"locked",
|
4598 |
+
"logistics",
|
4599 |
+
"lok",
|
4600 |
+
"lon",
|
4601 |
+
"long",
|
4602 |
+
"longer",
|
4603 |
+
"longhouse",
|
4604 |
+
"look",
|
4605 |
+
"looked",
|
4606 |
+
"looking",
|
4607 |
+
"looming",
|
4608 |
+
"looms",
|
4609 |
+
"loop",
|
4610 |
+
"lop",
|
4611 |
+
"los",
|
4612 |
+
"loss",
|
4613 |
+
"lost",
|
4614 |
+
"lot",
|
4615 |
+
"lovin",
|
4616 |
+
"lovin'",
|
4617 |
+
"loving",
|
4618 |
+
"lovin\u2019",
|
4619 |
+
"low",
|
4620 |
+
"lower",
|
4621 |
+
"lows",
|
4622 |
+
"lry",
|
4623 |
+
"lsa",
|
4624 |
+
"lso",
|
4625 |
+
"ltd",
|
4626 |
+
"ltd.",
|
4627 |
+
"lth",
|
4628 |
+
"lti",
|
4629 |
+
"ludwigshafen",
|
4630 |
+
"lue",
|
4631 |
+
"lum",
|
4632 |
+
"luminaries",
|
4633 |
+
"lur",
|
4634 |
+
"lus",
|
4635 |
+
"lve",
|
4636 |
+
"m",
|
4637 |
+
"m&a",
|
4638 |
+
"m&e",
|
4639 |
+
"m.",
|
4640 |
+
"ma'am",
|
4641 |
+
"machinery",
|
4642 |
+
"machines",
|
4643 |
+
"macro",
|
4644 |
+
"macroeconomic",
|
4645 |
+
"madam",
|
4646 |
+
"made",
|
4647 |
+
"madhya",
|
4648 |
+
"madurai",
|
4649 |
+
"mah",
|
4650 |
+
"maharashtra",
|
4651 |
+
"maharatna",
|
4652 |
+
"mahindra",
|
4653 |
+
"main",
|
4654 |
+
"mainstream",
|
4655 |
+
"maintain",
|
4656 |
+
"maintaining",
|
4657 |
+
"major",
|
4658 |
+
"majority",
|
4659 |
+
"make",
|
4660 |
+
"makes",
|
4661 |
+
"making",
|
4662 |
+
"mal",
|
4663 |
+
"malappuram",
|
4664 |
+
"malone",
|
4665 |
+
"man",
|
4666 |
+
"managed",
|
4667 |
+
"management",
|
4668 |
+
"manager",
|
4669 |
+
"managers",
|
4670 |
+
"mandated",
|
4671 |
+
"mandaviya",
|
4672 |
+
"manifest",
|
4673 |
+
"mann",
|
4674 |
+
"mansukh",
|
4675 |
+
"mantri",
|
4676 |
+
"manufactured",
|
4677 |
+
"manufacturers",
|
4678 |
+
"manufacturing",
|
4679 |
+
"many",
|
4680 |
+
"mar",
|
4681 |
+
"mar.",
|
4682 |
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"march",
|
4683 |
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"margin",
|
4684 |
+
"marginal",
|
4685 |
+
"market",
|
4686 |
+
"marketing",
|
4687 |
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"markets",
|
4688 |
+
"marks",
|
4689 |
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"marriott",
|
4690 |
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"maruti",
|
4691 |
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"mas",
|
4692 |
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"mass",
|
4693 |
+
"mass.",
|
4694 |
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"masses",
|
4695 |
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"massive",
|
4696 |
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"master",
|
4697 |
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"mastercard",
|
4698 |
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"material",
|
4699 |
+
"materials",
|
4700 |
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"matters",
|
4701 |
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"matthew",
|
4702 |
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"maxed",
|
4703 |
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"maximize",
|
4704 |
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"maximum",
|
4705 |
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"may",
|
4706 |
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"ma\u2019am",
|
4707 |
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"mbs",
|
4708 |
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"mckinsey",
|
4709 |
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"md",
|
4710 |
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"md.",
|
4711 |
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|
4712 |
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"mean",
|
4713 |
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|
4714 |
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"means",
|
4715 |
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|
4716 |
+
"meanwhile",
|
4717 |
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"measure",
|
4718 |
+
"measures",
|
4719 |
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"mechanical",
|
4720 |
+
"mechanisms",
|
4721 |
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"med",
|
4722 |
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"media",
|
4723 |
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|
4724 |
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|
4725 |
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"medicine",
|
4726 |
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"medium",
|
4727 |
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"medium-",
|
4728 |
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|
4729 |
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|
4730 |
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|
4731 |
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|
4732 |
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"mega",
|
4733 |
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"megh",
|
4734 |
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|
4735 |
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"melting",
|
4736 |
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|
4737 |
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|
4738 |
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"mer",
|
4739 |
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"merchants",
|
4740 |
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"mere",
|
4741 |
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"merely",
|
4742 |
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"mes",
|
4743 |
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|
4744 |
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"messaging",
|
4745 |
+
"messrs",
|
4746 |
+
"messrs.",
|
4747 |
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"met",
|
4748 |
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"metal",
|
4749 |
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"metals",
|
4750 |
+
"meters",
|
4751 |
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"mexico",
|
4752 |
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"mia",
|
4753 |
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"mic",
|
4754 |
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|
4755 |
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"mich.",
|
4756 |
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"microbial",
|
4757 |
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"microsoft",
|
4758 |
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"mid",
|
4759 |
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"midcap",
|
4760 |
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"midsize",
|
4761 |
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"might",
|
4762 |
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"mil",
|
4763 |
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"milestone",
|
4764 |
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"million",
|
4765 |
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"millions",
|
4766 |
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"mills",
|
4767 |
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|
4768 |
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"minimize",
|
4769 |
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"minimum",
|
4770 |
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"mining",
|
4771 |
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|
4772 |
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|
4773 |
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"ministry",
|
4774 |
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|
4775 |
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"minn.",
|
4776 |
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"minor",
|
4777 |
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|
4778 |
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"mis",
|
4779 |
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"mishra",
|
4780 |
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"misleading",
|
4781 |
+
"miss",
|
4782 |
+
"miss.",
|
4783 |
+
"mission",
|
4784 |
+
"mistakes",
|
4785 |
+
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|
4786 |
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|
4787 |
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|
4788 |
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"mitra",
|
4789 |
+
"mixed",
|
4790 |
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|
4791 |
+
"mk",
|
4792 |
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"mly",
|
4793 |
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"mme",
|
4794 |
+
"mmf",
|
4795 |
+
"mmy",
|
4796 |
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"mny",
|
4797 |
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"mo",
|
4798 |
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"mo.",
|
4799 |
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|
4800 |
+
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|
4801 |
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"model(link",
|
4802 |
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|
4803 |
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"modern",
|
4804 |
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|
4805 |
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"modified",
|
4806 |
+
"mohammed",
|
4807 |
+
"mohan",
|
4808 |
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"molecules",
|
4809 |
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|
4810 |
+
"momentum",
|
4811 |
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"mon",
|
4812 |
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"monday",
|
4813 |
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|
4814 |
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"monetize",
|
4815 |
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"money",
|
4816 |
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"moneycontrol",
|
4817 |
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"monitor",
|
4818 |
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|
4819 |
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|
4820 |
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|
4821 |
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|
4822 |
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|
4823 |
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|
4824 |
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|
4825 |
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|
4826 |
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|
4827 |
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"morningstar",
|
4828 |
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|
4829 |
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|
4830 |
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|
4831 |
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"most",
|
4832 |
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"mostly",
|
4833 |
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|
4834 |
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|
4835 |
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|
4836 |
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|
4837 |
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"move",
|
4838 |
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|
4839 |
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"moving",
|
4840 |
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|
4841 |
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|
4842 |
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"mr",
|
4843 |
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"mr.",
|
4844 |
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|
4845 |
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|
4846 |
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"ms",
|
4847 |
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|
4848 |
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|
4849 |
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|
4850 |
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|
4851 |
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|
4852 |
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"mt",
|
4853 |
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|
4854 |
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|
4855 |
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"mudon",
|
4856 |
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"multi",
|
4857 |
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"multibagger",
|
4858 |
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"multitude",
|
4859 |
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|
4860 |
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|
4861 |
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|
4862 |
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"murdoch",
|
4863 |
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"murugappa",
|
4864 |
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|
4865 |
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"musk",
|
4866 |
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"must",
|
4867 |
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"n",
|
4868 |
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|
4869 |
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|
4870 |
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|
4871 |
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|
4872 |
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|
4873 |
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|
4874 |
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|
4875 |
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|
4876 |
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|
4877 |
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|
4878 |
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|
4879 |
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|
4880 |
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|
4881 |
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|
4882 |
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"nahar",
|
4883 |
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|
4884 |
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|
4885 |
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|
4886 |
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|
4887 |
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|
4888 |
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"nanda",
|
4889 |
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"nap",
|
4890 |
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"nar",
|
4891 |
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|
4892 |
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|
4893 |
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|
4894 |
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|
4895 |
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|
4896 |
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|
4897 |
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|
4898 |
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|
4899 |
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|
4900 |
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|
4901 |
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|
4902 |
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|
4903 |
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|
4904 |
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"nc.",
|
4905 |
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"nce",
|
4906 |
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|
4907 |
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"ncy",
|
4908 |
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"nd.",
|
4909 |
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|
4910 |
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|
4911 |
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|
4912 |
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"near",
|
4913 |
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|
4914 |
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|
4915 |
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|
4916 |
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|
4917 |
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|
4918 |
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|
4919 |
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|
4920 |
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|
4921 |
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|
4922 |
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|
4923 |
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|
4924 |
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|
4925 |
+
"negative",
|
4926 |
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|
4927 |
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|
4928 |
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|
4929 |
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"neighbouring",
|
4930 |
+
"nel",
|
4931 |
+
"nellithada",
|
4932 |
+
"ner",
|
4933 |
+
"nes",
|
4934 |
+
"net",
|
4935 |
+
"netflix",
|
4936 |
+
"network",
|
4937 |
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|
4938 |
+
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|
4939 |
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|
4940 |
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"nev.",
|
4941 |
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"new",
|
4942 |
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"newest",
|
4943 |
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|
4944 |
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|
4945 |
+
"news",
|
4946 |
+
"nexa",
|
4947 |
+
"next",
|
4948 |
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"ney",
|
4949 |
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"nga",
|
4950 |
+
"nge",
|
4951 |
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"ngh",
|
4952 |
+
"ngs",
|
4953 |
+
"ni",
|
4954 |
+
"nic",
|
4955 |
+
"nielseniq",
|
4956 |
+
"nieves",
|
4957 |
+
"nifty",
|
4958 |
+
"nigeria",
|
4959 |
+
"nikhil",
|
4960 |
+
"nine",
|
4961 |
+
"niper",
|
4962 |
+
"nipers",
|
4963 |
+
"niq",
|
4964 |
+
"nirbhar",
|
4965 |
+
"nirmala",
|
4966 |
+
"nis",
|
4967 |
+
"niti",
|
4968 |
+
"nitin",
|
4969 |
+
"nks",
|
4970 |
+
"nly",
|
4971 |
+
"nn.",
|
4972 |
+
"nna",
|
4973 |
+
"nnu",
|
4974 |
+
"nny",
|
4975 |
+
"no",
|
4976 |
+
"nobody",
|
4977 |
+
"nodal",
|
4978 |
+
"nomura",
|
4979 |
+
"non",
|
4980 |
+
"none",
|
4981 |
+
"nonprofit",
|
4982 |
+
"nor",
|
4983 |
+
"northern",
|
4984 |
+
"not",
|
4985 |
+
"notably",
|
4986 |
+
"note",
|
4987 |
+
"noted",
|
4988 |
+
"notes",
|
4989 |
+
"noteworthy",
|
4990 |
+
"nothin",
|
4991 |
+
"nothin'",
|
4992 |
+
"nothing",
|
4993 |
+
"nothin\u2019",
|
4994 |
+
"notice",
|
4995 |
+
"noticed",
|
4996 |
+
"nov",
|
4997 |
+
"nov.",
|
4998 |
+
"november",
|
4999 |
+
"now",
|
5000 |
+
"now?There",
|
5001 |
+
"now?there",
|
5002 |
+
"ns.",
|
5003 |
+
"nsdl",
|
5004 |
+
"nse",
|
5005 |
+
"nso",
|
5006 |
+
"nsso",
|
5007 |
+
"nst",
|
5008 |
+
"nt",
|
5009 |
+
"nt.",
|
5010 |
+
"nta",
|
5011 |
+
"nth",
|
5012 |
+
"nti",
|
5013 |
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"nto",
|
5014 |
+
"nts",
|
5015 |
+
"nue",
|
5016 |
+
"nuff",
|
5017 |
+
"numbers",
|
5018 |
+
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|
5019 |
+
"nurture",
|
5020 |
+
"nus",
|
5021 |
+
"nuthin",
|
5022 |
+
"nuthin'",
|
5023 |
+
"nuthin\u2019",
|
5024 |
+
"nvidia",
|
5025 |
+
"n\u2019s",
|
5026 |
+
"n\u2019t",
|
5027 |
+
"o",
|
5028 |
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|
5029 |
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|
5030 |
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|
5031 |
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|
5032 |
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"o.O",
|
5033 |
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|
5034 |
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|
5035 |
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"o_0",
|
5036 |
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"o_O",
|
5037 |
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"o_o",
|
5038 |
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"oad",
|
5039 |
+
"oal",
|
5040 |
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"oan",
|
5041 |
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"obe",
|
5042 |
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|
5043 |
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|
5044 |
+
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|
5045 |
+
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|
5046 |
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|
5047 |
+
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|
5048 |
+
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|
5049 |
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|
5050 |
+
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|
5051 |
+
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|
5052 |
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|
5053 |
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"och",
|
5054 |
+
"ock",
|
5055 |
+
"ocs",
|
5056 |
+
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|
5057 |
+
"oct.",
|
5058 |
+
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|
5059 |
+
"oda",
|
5060 |
+
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|
5061 |
+
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|
5062 |
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|
5063 |
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"ody",
|
5064 |
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|
5065 |
+
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|
5066 |
+
"of.",
|
5067 |
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|
5068 |
+
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|
5069 |
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"off",
|
5070 |
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|
5071 |
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|
5072 |
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|
5073 |
+
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|
5074 |
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|
5075 |
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|
5076 |
+
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|
5077 |
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|
5078 |
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|
5079 |
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|
5080 |
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|
5081 |
+
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|
5082 |
+
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|
5083 |
+
"oha",
|
5084 |
+
"ohn",
|
5085 |
+
"oid",
|
5086 |
+
"oil",
|
5087 |
+
"oin",
|
5088 |
+
"oka",
|
5089 |
+
"oke",
|
5090 |
+
"okla",
|
5091 |
+
"okla.",
|
5092 |
+
"oks",
|
5093 |
+
"ol",
|
5094 |
+
"ol'",
|
5095 |
+
"old",
|
5096 |
+
"ole",
|
5097 |
+
"oll",
|
5098 |
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"olo",
|
5099 |
+
"ols",
|
5100 |
+
"ol\u2019",
|
5101 |
+
"ome",
|
5102 |
+
"oms",
|
5103 |
+
"omy",
|
5104 |
+
"on",
|
5105 |
+
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|
5106 |
+
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|
5107 |
+
"ond",
|
5108 |
+
"one",
|
5109 |
+
"ones",
|
5110 |
+
"ong",
|
5111 |
+
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|
5112 |
+
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|
5113 |
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|
5114 |
+
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|
5115 |
+
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|
5116 |
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"ont",
|
5117 |
+
"onx",
|
5118 |
+
"ony",
|
5119 |
+
"ood",
|
5120 |
+
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|
5121 |
+
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|
5122 |
+
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|
5123 |
+
"oom",
|
5124 |
+
"oon",
|
5125 |
+
"oop",
|
5126 |
+
"oor",
|
5127 |
+
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|
5128 |
+
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|
5129 |
+
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|
5130 |
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|
5131 |
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|
5132 |
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|
5133 |
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|
5134 |
+
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|
5135 |
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|
5136 |
+
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|
5137 |
+
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|
5138 |
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|
5139 |
+
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|
5140 |
+
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|
5141 |
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|
5142 |
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|
5143 |
+
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|
5144 |
+
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|
5145 |
+
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|
5146 |
+
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|
5147 |
+
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|
5148 |
+
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|
5149 |
+
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|
5150 |
+
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|
5151 |
+
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|
5152 |
+
"ore.",
|
5153 |
+
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|
5154 |
+
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|
5155 |
+
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|
5156 |
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|
5157 |
+
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|
5158 |
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|
5159 |
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|
5160 |
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|
5161 |
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|
5162 |
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|
5163 |
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|
5164 |
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|
5165 |
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|
5166 |
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|
5167 |
+
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|
5168 |
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|
5169 |
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|
5170 |
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|
5171 |
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|
5172 |
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|
5173 |
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|
5174 |
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|
5175 |
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|
5176 |
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|
5177 |
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|
5178 |
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|
5179 |
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|
5180 |
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|
5181 |
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|
5182 |
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|
5183 |
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|
5184 |
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|
5185 |
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|
5186 |
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|
5187 |
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|
5188 |
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|
5189 |
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|
5190 |
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|
5191 |
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|
5192 |
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|
5193 |
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|
5194 |
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|
5195 |
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|
5196 |
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|
5197 |
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|
5198 |
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|
5199 |
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|
5200 |
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|
5201 |
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|
5202 |
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|
5203 |
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|
5204 |
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|
5205 |
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|
5206 |
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|
5207 |
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|
5208 |
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|
5209 |
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|
5210 |
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|
5211 |
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|
5212 |
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|
5213 |
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|
5214 |
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|
5215 |
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|
5216 |
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|
5217 |
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|
5218 |
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|
5219 |
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|
5220 |
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|
5221 |
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|
5222 |
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|
5223 |
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|
5224 |
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|
5225 |
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|
5226 |
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|
5227 |
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|
5228 |
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|
5229 |
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|
5230 |
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|
5231 |
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|
5232 |
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|
5233 |
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|
5234 |
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|
5235 |
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|
5236 |
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|
5237 |
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|
5238 |
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|
5239 |
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|
5240 |
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|
5241 |
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|
5242 |
+
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|
5243 |
+
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|
5244 |
+
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|
5245 |
+
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|
5246 |
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|
5247 |
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|
5248 |
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|
5249 |
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|
5250 |
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|
5251 |
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|
5252 |
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|
5253 |
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|
5254 |
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|
5255 |
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|
5256 |
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|
5257 |
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|
5258 |
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|
5259 |
+
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|
5260 |
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|
5261 |
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|
5262 |
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|
5263 |
+
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|
5264 |
+
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|
5265 |
+
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|
5266 |
+
"patna",
|
5267 |
+
"patronage",
|
5268 |
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"paving",
|
5269 |
+
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|
5270 |
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|
5271 |
+
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|
5272 |
+
"payment",
|
5273 |
+
"paypal",
|
5274 |
+
"payroll",
|
5275 |
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"pdr",
|
5276 |
+
"pec",
|
5277 |
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|
5278 |
+
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|
5279 |
+
"peers",
|
5280 |
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|
5281 |
+
"penny",
|
5282 |
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|
5283 |
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5284 |
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|
5285 |
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|
5286 |
+
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|
5287 |
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|
5288 |
+
"period",
|
5289 |
+
"periods",
|
5290 |
+
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|
5291 |
+
"permit",
|
5292 |
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|
5293 |
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|
5294 |
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|
5295 |
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|
5296 |
+
"pes",
|
5297 |
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|
5298 |
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"petrochemicals",
|
5299 |
+
"petrol",
|
5300 |
+
"ph",
|
5301 |
+
"ph.d.",
|
5302 |
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"pharma",
|
5303 |
+
"pharmaceutical",
|
5304 |
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|
5305 |
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|
5306 |
+
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|
5307 |
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|
5308 |
+
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|
5309 |
+
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|
5310 |
+
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|
5311 |
+
"phy",
|
5312 |
+
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|
5313 |
+
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|
5314 |
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|
5315 |
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|
5316 |
+
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|
5317 |
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|
5318 |
+
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|
5319 |
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|
5320 |
+
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|
5321 |
+
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|
5322 |
+
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|
5323 |
+
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|
5324 |
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|
5325 |
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|
5326 |
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|
5327 |
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|
5328 |
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|
5329 |
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|
5330 |
+
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|
5331 |
+
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|
5332 |
+
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|
5333 |
+
"plants",
|
5334 |
+
"plastics).Lara",
|
5335 |
+
"plastics).lara",
|
5336 |
+
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|
5337 |
+
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|
5338 |
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|
5339 |
+
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|
5340 |
+
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|
5341 |
+
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|
5342 |
+
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|
5343 |
+
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|
5344 |
+
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|
5345 |
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|
5346 |
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|
5347 |
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|
5348 |
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|
5349 |
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|
5350 |
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|
5351 |
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|
5352 |
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|
5353 |
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|
5354 |
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|
5355 |
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|
5356 |
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|
5357 |
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|
5358 |
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|
5359 |
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|
5360 |
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|
5361 |
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|
5362 |
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|
5363 |
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|
5364 |
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|
5365 |
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|
5366 |
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|
5367 |
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|
5368 |
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|
5369 |
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|
5370 |
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|
5371 |
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|
5372 |
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|
5373 |
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|
5374 |
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|
5375 |
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|
5376 |
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|
5377 |
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|
5378 |
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|
5379 |
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|
5380 |
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5381 |
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|
5382 |
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|
5383 |
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|
5384 |
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|
5385 |
+
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|
5386 |
+
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|
5387 |
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|
5388 |
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|
5389 |
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|
5390 |
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|
5391 |
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|
5392 |
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|
5393 |
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|
5394 |
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|
5395 |
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|
5396 |
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|
5397 |
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|
5398 |
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|
5399 |
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|
5400 |
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|
5401 |
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|
5402 |
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|
5403 |
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5404 |
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|
5405 |
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|
5406 |
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|
5407 |
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|
5408 |
+
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|
5409 |
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|
5410 |
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|
5411 |
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|
5412 |
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|
5413 |
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|
5414 |
+
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|
5415 |
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|
5416 |
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|
5417 |
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|
5418 |
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|
5419 |
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|
5420 |
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|
5421 |
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|
5422 |
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|
5423 |
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|
5424 |
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5425 |
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5426 |
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|
5427 |
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|
5428 |
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|
5429 |
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|
5430 |
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|
5431 |
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|
5432 |
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|
5433 |
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|
5434 |
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|
5435 |
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|
5436 |
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|
5437 |
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|
5438 |
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"pro",
|
5439 |
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|
5440 |
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"probably",
|
5441 |
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|
5442 |
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|
5443 |
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|
5444 |
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|
5445 |
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|
5446 |
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|
5447 |
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|
5448 |
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|
5449 |
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|
5450 |
+
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|
5451 |
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|
5452 |
+
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|
5453 |
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|
5454 |
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|
5455 |
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|
5456 |
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"prof.",
|
5457 |
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|
5458 |
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|
5459 |
+
"professionals",
|
5460 |
+
"profiles",
|
5461 |
+
"profit",
|
5462 |
+
"profitability",
|
5463 |
+
"profitable",
|
5464 |
+
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|
5465 |
+
"program",
|
5466 |
+
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|
5467 |
+
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|
5468 |
+
"programmes",
|
5469 |
+
"programs",
|
5470 |
+
"progress",
|
5471 |
+
"prohibitively",
|
5472 |
+
"project",
|
5473 |
+
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|
5474 |
+
"projections",
|
5475 |
+
"projects",
|
5476 |
+
"prominent",
|
5477 |
+
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|
5478 |
+
"promising",
|
5479 |
+
"promote",
|
5480 |
+
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|
5481 |
+
"promotes",
|
5482 |
+
"promoting",
|
5483 |
+
"promotion",
|
5484 |
+
"prompting",
|
5485 |
+
"pronged",
|
5486 |
+
"propeller",
|
5487 |
+
"property",
|
5488 |
+
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|
5489 |
+
"proposed",
|
5490 |
+
"proposes",
|
5491 |
+
"prospects",
|
5492 |
+
"protect",
|
5493 |
+
"protected",
|
5494 |
+
"protons",
|
5495 |
+
"prove",
|
5496 |
+
"proverbial",
|
5497 |
+
"provide",
|
5498 |
+
"provided",
|
5499 |
+
"providers",
|
5500 |
+
"provides",
|
5501 |
+
"prowess",
|
5502 |
+
"prudential",
|
5503 |
+
"pse",
|
5504 |
+
"psu",
|
5505 |
+
"psus",
|
5506 |
+
"pt.",
|
5507 |
+
"pti",
|
5508 |
+
"pts",
|
5509 |
+
"public",
|
5510 |
+
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|
5511 |
+
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|
5512 |
+
"published",
|
5513 |
+
"publishing",
|
5514 |
+
"pulling",
|
5515 |
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"punjab",
|
5516 |
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"pur",
|
5517 |
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"purchase",
|
5518 |
+
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|
5519 |
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"purchasing",
|
5520 |
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|
5521 |
+
"pusa",
|
5522 |
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"push",
|
5523 |
+
"pushing",
|
5524 |
+
"put",
|
5525 |
+
"putting",
|
5526 |
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"q",
|
5527 |
+
"q.",
|
5528 |
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"q2",
|
5529 |
+
"q3fy24",
|
5530 |
+
"qatar",
|
5531 |
+
"qqq",
|
5532 |
+
"quality",
|
5533 |
+
"quantum",
|
5534 |
+
"quarter",
|
5535 |
+
"quarterly",
|
5536 |
+
"quarters",
|
5537 |
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"que",
|
5538 |
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"question",
|
5539 |
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"quickly",
|
5540 |
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"quite",
|
5541 |
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"quo",
|
5542 |
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"quoting",
|
5543 |
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"r",
|
5544 |
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"r&d",
|
5545 |
+
"r&d.",
|
5546 |
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"r.",
|
5547 |
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"rabi",
|
5548 |
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"racks",
|
5549 |
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"rag",
|
5550 |
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"rai",
|
5551 |
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"raise",
|
5552 |
+
"raised",
|
5553 |
+
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|
5554 |
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"rajan",
|
5555 |
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"ral",
|
5556 |
+
"rally",
|
5557 |
+
"ram",
|
5558 |
+
"ramadan",
|
5559 |
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"ramesh",
|
5560 |
+
"ramping",
|
5561 |
+
"range",
|
5562 |
+
"ranging",
|
5563 |
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"ranked",
|
5564 |
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"ranks",
|
5565 |
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"rapid",
|
5566 |
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"rapidly",
|
5567 |
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"rare",
|
5568 |
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"ras",
|
5569 |
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"rat",
|
5570 |
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|
5571 |
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|
5572 |
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"rather",
|
5573 |
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|
5574 |
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|
5575 |
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"ratio",
|
5576 |
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|
5577 |
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"ray",
|
5578 |
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"rbs",
|
5579 |
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"rby",
|
5580 |
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"rce",
|
5581 |
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"rch",
|
5582 |
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"rdo",
|
5583 |
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"rds",
|
5584 |
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"re",
|
5585 |
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"re.",
|
5586 |
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"rea",
|
5587 |
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|
5588 |
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|
5589 |
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|
5590 |
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|
5591 |
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|
5592 |
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|
5593 |
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|
5594 |
+
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|
5595 |
+
"reality",
|
5596 |
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|
5597 |
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|
5598 |
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|
5599 |
+
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|
5600 |
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|
5601 |
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|
5602 |
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|
5603 |
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|
5604 |
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|
5605 |
+
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|
5606 |
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|
5607 |
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|
5608 |
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|
5609 |
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|
5610 |
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|
5611 |
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|
5612 |
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|
5613 |
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|
5614 |
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|
5615 |
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|
5616 |
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|
5617 |
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|
5618 |
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|
5619 |
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|
5620 |
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|
5621 |
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|
5622 |
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|
5623 |
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|
5624 |
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|
5625 |
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|
5626 |
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|
5627 |
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"ree",
|
5628 |
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|
5629 |
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"reelstar",
|
5630 |
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|
5631 |
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|
5632 |
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|
5633 |
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|
5634 |
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|
5635 |
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|
5636 |
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|
5637 |
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|
5638 |
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|
5639 |
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|
5640 |
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|
5641 |
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|
5642 |
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|
5643 |
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|
5644 |
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|
5645 |
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|
5646 |
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|
5647 |
+
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|
5648 |
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|
5649 |
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|
5650 |
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|
5651 |
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|
5652 |
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|
5653 |
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|
5654 |
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|
5655 |
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|
5656 |
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|
5657 |
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|
5658 |
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|
5659 |
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|
5660 |
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|
5661 |
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|
5662 |
+
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|
5663 |
+
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|
5664 |
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|
5665 |
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|
5666 |
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|
5667 |
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|
5668 |
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|
5669 |
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|
5670 |
+
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|
5671 |
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|
5672 |
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|
5673 |
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|
5674 |
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|
5675 |
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|
5676 |
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|
5677 |
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|
5678 |
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|
5679 |
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|
5680 |
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|
5681 |
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|
5682 |
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|
5683 |
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|
5684 |
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|
5685 |
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|
5686 |
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|
5687 |
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|
5688 |
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|
5689 |
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|
5690 |
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"repetitive",
|
5691 |
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|
5692 |
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"repoening",
|
5693 |
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|
5694 |
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|
5695 |
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|
5696 |
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|
5697 |
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|
5698 |
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|
5699 |
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|
5700 |
+
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|
5701 |
+
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|
5702 |
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|
5703 |
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|
5704 |
+
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|
5705 |
+
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|
5706 |
+
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|
5707 |
+
"requisite",
|
5708 |
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"res",
|
5709 |
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|
5710 |
+
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|
5711 |
+
"research",
|
5712 |
+
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|
5713 |
+
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|
5714 |
+
"resilience",
|
5715 |
+
"resilient",
|
5716 |
+
"resistance",
|
5717 |
+
"resistant",
|
5718 |
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|
5719 |
+
"resource",
|
5720 |
+
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|
5721 |
+
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|
5722 |
+
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|
5723 |
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"respond",
|
5724 |
+
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|
5725 |
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|
5726 |
+
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|
5727 |
+
"response",
|
5728 |
+
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|
5729 |
+
"responsible",
|
5730 |
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"rest",
|
5731 |
+
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|
5732 |
+
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|
5733 |
+
"resulted",
|
5734 |
+
"retail",
|
5735 |
+
"retails",
|
5736 |
+
"retain",
|
5737 |
+
"retrofitting",
|
5738 |
+
"return",
|
5739 |
+
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|
5740 |
+
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|
5741 |
+
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|
5742 |
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"rev",
|
5743 |
+
"rev.",
|
5744 |
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|
5745 |
+
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|
5746 |
+
"revenue",
|
5747 |
+
"review",
|
5748 |
+
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|
5749 |
+
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|
5750 |
+
"revival",
|
5751 |
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"revolution",
|
5752 |
+
"revolve",
|
5753 |
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"rew",
|
5754 |
+
"rey",
|
5755 |
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"rge",
|
5756 |
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"rgy",
|
5757 |
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"rhetan",
|
5758 |
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"ria",
|
5759 |
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|
5760 |
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|
5761 |
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"rich",
|
5762 |
+
"richard",
|
5763 |
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"rie",
|
5764 |
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"rif",
|
5765 |
+
"right",
|
5766 |
+
"ril",
|
5767 |
+
"rim",
|
5768 |
+
"ris",
|
5769 |
+
"rise",
|
5770 |
+
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|
5771 |
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"rising",
|
5772 |
+
"risk",
|
5773 |
+
"risks",
|
5774 |
+
"rivalry",
|
5775 |
+
"riz",
|
5776 |
+
"rk.",
|
5777 |
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"rks",
|
5778 |
+
"rld",
|
5779 |
+
"rly",
|
5780 |
+
"rma",
|
5781 |
+
"rms",
|
5782 |
+
"rns",
|
5783 |
+
"roads",
|
5784 |
+
"robbing",
|
5785 |
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"robust",
|
5786 |
+
"robustness",
|
5787 |
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"roce",
|
5788 |
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"rof",
|
5789 |
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"rol",
|
5790 |
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"role",
|
5791 |
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|
5792 |
+
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|
5793 |
+
"rollout",
|
5794 |
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"rom",
|
5795 |
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"ron",
|
5796 |
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|
5797 |
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|
5798 |
+
"rop",
|
5799 |
+
"roped",
|
5800 |
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"ros",
|
5801 |
+
"rose",
|
5802 |
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"rough",
|
5803 |
+
"roughly",
|
5804 |
+
"round",
|
5805 |
+
"row",
|
5806 |
+
"rp.",
|
5807 |
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"rry",
|
5808 |
+
"rs",
|
5809 |
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"rs.",
|
5810 |
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"rs.10218",
|
5811 |
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"rs.3000",
|
5812 |
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"rs.5.00",
|
5813 |
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"rs.6000",
|
5814 |
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"rs.6426",
|
5815 |
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"rse",
|
5816 |
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"rsmw",
|
5817 |
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"rst",
|
5818 |
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"rswm",
|
5819 |
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"rth",
|
5820 |
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"rtos",
|
5821 |
+
"rts",
|
5822 |
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"rty",
|
5823 |
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"rum",
|
5824 |
+
"run",
|
5825 |
+
"rup",
|
5826 |
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"rupee",
|
5827 |
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"rupees",
|
5828 |
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"rupert",
|
5829 |
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"rural",
|
5830 |
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"rus",
|
5831 |
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"russell",
|
5832 |
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"russia",
|
5833 |
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"russian",
|
5834 |
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"s",
|
5835 |
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"s&p",
|
5836 |
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"s's",
|
5837 |
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"s,3",
|
5838 |
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"s.",
|
5839 |
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"s.1",
|
5840 |
+
"s.c.",
|
5841 |
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"sabha",
|
5842 |
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"safe",
|
5843 |
+
"safety",
|
5844 |
+
"saharanpur",
|
5845 |
+
"sai",
|
5846 |
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"said",
|
5847 |
+
"sail",
|
5848 |
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"sal",
|
5849 |
+
"salem",
|
5850 |
+
"sales",
|
5851 |
+
"salesforce",
|
5852 |
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"same",
|
5853 |
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"san",
|
5854 |
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|
5855 |
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"sanitation",
|
5856 |
+
"sanjay",
|
5857 |
+
"santhapettai",
|
5858 |
+
"santosh",
|
5859 |
+
"saravanan",
|
5860 |
+
"sarees",
|
5861 |
+
"sas",
|
5862 |
+
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|
5863 |
+
"saus",
|
5864 |
+
"savings",
|
5865 |
+
"saw",
|
5866 |
+
"say",
|
5867 |
+
"says",
|
5868 |
+
"sbi",
|
5869 |
+
"scale",
|
5870 |
+
"scaled",
|
5871 |
+
"scam",
|
5872 |
+
"scammers",
|
5873 |
+
"scams",
|
5874 |
+
"scarce",
|
5875 |
+
"scenarios",
|
5876 |
+
"schedule",
|
5877 |
+
"scheduled",
|
5878 |
+
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|
5879 |
+
"school",
|
5880 |
+
"schools",
|
5881 |
+
"sci",
|
5882 |
+
"science",
|
5883 |
+
"scientific",
|
5884 |
+
"scindia",
|
5885 |
+
"sco",
|
5886 |
+
"scoped",
|
5887 |
+
"scrapped",
|
5888 |
+
"sdl",
|
5889 |
+
"sdp",
|
5890 |
+
"se",
|
5891 |
+
"se4",
|
5892 |
+
"search",
|
5893 |
+
"season",
|
5894 |
+
"seasonally",
|
5895 |
+
"seasons",
|
5896 |
+
"second",
|
5897 |
+
"secondary",
|
5898 |
+
"secretary",
|
5899 |
+
"section",
|
5900 |
+
"sections",
|
5901 |
+
"sector",
|
5902 |
+
"sectoral",
|
5903 |
+
"sectors",
|
5904 |
+
"secured",
|
5905 |
+
"secures",
|
5906 |
+
"securities",
|
5907 |
+
"security",
|
5908 |
+
"sed",
|
5909 |
+
"see",
|
5910 |
+
"seeing",
|
5911 |
+
"seeking",
|
5912 |
+
"seeks",
|
5913 |
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"seems",
|
5914 |
+
"seen",
|
5915 |
+
"segment",
|
5916 |
+
"segmented",
|
5917 |
+
"segments",
|
5918 |
+
"sel",
|
5919 |
+
"select",
|
5920 |
+
"self",
|
5921 |
+
"sell",
|
5922 |
+
"selling",
|
5923 |
+
"sells",
|
5924 |
+
"sellschop",
|
5925 |
+
"sen",
|
5926 |
+
"sen.",
|
5927 |
+
"senior",
|
5928 |
+
"sense",
|
5929 |
+
"sent",
|
5930 |
+
"sep",
|
5931 |
+
"sep.",
|
5932 |
+
"separate",
|
5933 |
+
"separates",
|
5934 |
+
"sept",
|
5935 |
+
"sept.",
|
5936 |
+
"september",
|
5937 |
+
"ser",
|
5938 |
+
"series",
|
5939 |
+
"server",
|
5940 |
+
"serves",
|
5941 |
+
"service",
|
5942 |
+
"services",
|
5943 |
+
"services,3",
|
5944 |
+
"ses",
|
5945 |
+
"sessions",
|
5946 |
+
"set",
|
5947 |
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|
5948 |
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|
5949 |
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|
5950 |
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|
5951 |
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"sey",
|
5952 |
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"sfy",
|
5953 |
+
"sh.",
|
5954 |
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"sha",
|
5955 |
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"shah",
|
5956 |
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"shahbazov",
|
5957 |
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"shake",
|
5958 |
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"shall",
|
5959 |
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|
5960 |
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|
5961 |
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"share",
|
5962 |
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|
5963 |
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"shares",
|
5964 |
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|
5965 |
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|
5966 |
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"shashank",
|
5967 |
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"she",
|
5968 |
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|
5969 |
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|
5970 |
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"sheikh",
|
5971 |
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"sheng",
|
5972 |
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|
5973 |
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"shi",
|
5974 |
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|
5975 |
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|
5976 |
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|
5977 |
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"shockwaves",
|
5978 |
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|
5979 |
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|
5980 |
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|
5981 |
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|
5982 |
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|
5983 |
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"should",
|
5984 |
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"show",
|
5985 |
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|
5986 |
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|
5987 |
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|
5988 |
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|
5989 |
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|
5990 |
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|
5991 |
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|
5992 |
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"shrank",
|
5993 |
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|
5994 |
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|
5995 |
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"sia",
|
5996 |
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"sic",
|
5997 |
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|
5998 |
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"side",
|
5999 |
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|
6000 |
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|
6001 |
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|
6002 |
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|
6003 |
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|
6004 |
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|
6005 |
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|
6006 |
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|
6007 |
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|
6008 |
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|
6009 |
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|
6010 |
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|
6011 |
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|
6012 |
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|
6013 |
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|
6014 |
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|
6015 |
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|
6016 |
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|
6017 |
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|
6018 |
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|
6019 |
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|
6020 |
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|
6021 |
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|
6022 |
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|
6023 |
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|
6024 |
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|
6025 |
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|
6026 |
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|
6027 |
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|
6028 |
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|
6029 |
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|
6030 |
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|
6031 |
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|
6032 |
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|
6033 |
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|
6034 |
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|
6035 |
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|
6036 |
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|
6037 |
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|
6038 |
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|
6039 |
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|
6040 |
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|
6041 |
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|
6042 |
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|
6043 |
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|
6044 |
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|
6045 |
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|
6046 |
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|
6047 |
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|
6048 |
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|
6049 |
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|
6050 |
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|
6051 |
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|
6052 |
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|
6053 |
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|
6054 |
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|
6055 |
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|
6056 |
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|
6057 |
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|
6058 |
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|
6059 |
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|
6060 |
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|
6061 |
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|
6062 |
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|
6063 |
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|
6064 |
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|
6065 |
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|
6066 |
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|
6067 |
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|
6068 |
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|
6069 |
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|
6070 |
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|
6071 |
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|
6072 |
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|
6073 |
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|
6074 |
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|
6075 |
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|
6076 |
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|
6077 |
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|
6078 |
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6079 |
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|
6080 |
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6081 |
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|
6082 |
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6083 |
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|
6084 |
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|
6085 |
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|
6086 |
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6087 |
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|
6088 |
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|
6089 |
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|
6090 |
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|
6091 |
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|
6092 |
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|
6093 |
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|
6094 |
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|
6095 |
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|
6096 |
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|
6097 |
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|
6098 |
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|
6099 |
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|
6100 |
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|
6101 |
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"srs",
|
6102 |
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"ss.",
|
6103 |
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|
6104 |
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|
6105 |
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"st",
|
6106 |
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|
6107 |
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|
6108 |
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|
6109 |
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|
6110 |
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|
6111 |
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|
6112 |
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|
6113 |
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|
6114 |
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|
6115 |
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|
6116 |
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|
6117 |
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|
6118 |
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|
6119 |
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|
6120 |
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|
6121 |
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|
6122 |
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|
6123 |
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|
6124 |
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|
6125 |
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|
6126 |
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|
6127 |
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|
6128 |
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|
6129 |
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|
6130 |
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|
6131 |
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|
6132 |
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|
6133 |
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|
6134 |
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|
6135 |
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|
6136 |
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|
6137 |
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|
6138 |
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|
6139 |
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|
6140 |
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|
6141 |
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|
6142 |
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|
6143 |
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|
6144 |
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|
6145 |
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|
6146 |
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6147 |
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6148 |
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6149 |
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6150 |
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|
6151 |
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|
6152 |
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|
6153 |
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|
6154 |
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|
6155 |
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|
6156 |
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|
6157 |
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|
6158 |
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|
6159 |
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|
6160 |
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|
6161 |
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|
6162 |
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|
6163 |
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|
6164 |
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|
6165 |
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|
6166 |
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|
6167 |
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|
6168 |
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|
6169 |
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|
6170 |
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|
6171 |
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|
6172 |
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|
6173 |
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|
6174 |
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|
6175 |
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|
6176 |
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|
6177 |
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|
6178 |
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|
6179 |
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|
6180 |
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|
6181 |
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|
6182 |
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|
6183 |
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|
6184 |
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|
6185 |
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|
6186 |
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|
6187 |
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|
6188 |
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|
6189 |
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|
6190 |
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|
6191 |
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|
6192 |
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|
6193 |
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|
6194 |
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|
6195 |
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|
6196 |
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|
6197 |
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|
6198 |
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|
6199 |
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|
6200 |
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|
6201 |
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|
6202 |
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|
6203 |
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|
6204 |
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|
6205 |
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|
6206 |
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|
6207 |
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|
6208 |
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|
6209 |
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|
6210 |
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|
6211 |
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|
6212 |
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|
6213 |
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|
6214 |
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|
6215 |
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|
6216 |
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|
6217 |
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|
6218 |
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|
6219 |
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|
6220 |
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|
6221 |
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|
6222 |
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|
6223 |
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|
6224 |
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|
6225 |
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|
6226 |
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|
6227 |
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|
6228 |
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|
6229 |
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|
6230 |
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|
6231 |
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|
6232 |
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|
6233 |
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|
6234 |
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|
6235 |
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|
6236 |
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|
6237 |
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|
6238 |
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|
6239 |
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|
6240 |
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|
6241 |
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|
6242 |
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"svb",
|
6243 |
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|
6244 |
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6245 |
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|
6246 |
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|
6247 |
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|
6248 |
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|
6249 |
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|
6250 |
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|
6251 |
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|
6252 |
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|
6253 |
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|
6254 |
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|
6255 |
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|
6256 |
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|
6257 |
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|
6258 |
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|
6259 |
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|
6260 |
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|
6261 |
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|
6262 |
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|
6263 |
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|
6264 |
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|
6265 |
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|
6266 |
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|
6267 |
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|
6268 |
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|
6269 |
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|
6270 |
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|
6271 |
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|
6272 |
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6273 |
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|
6274 |
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|
6275 |
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6276 |
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|
6277 |
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|
6278 |
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|
6279 |
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|
6280 |
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|
6281 |
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|
6282 |
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6283 |
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|
6284 |
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|
6285 |
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|
6286 |
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|
6287 |
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|
6288 |
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|
6289 |
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|
6290 |
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|
6291 |
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|
6292 |
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|
6293 |
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|
6294 |
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|
6295 |
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|
6296 |
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|
6297 |
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|
6298 |
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|
6299 |
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|
6300 |
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|
6301 |
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|
6302 |
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|
6303 |
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|
6304 |
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|
6305 |
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|
6306 |
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|
6307 |
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|
6308 |
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|
6309 |
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|
6310 |
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|
6311 |
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|
6312 |
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|
6313 |
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|
6314 |
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|
6315 |
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|
6316 |
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|
6317 |
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|
6318 |
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|
6319 |
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|
6320 |
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|
6321 |
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|
6322 |
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|
6323 |
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|
6324 |
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|
6325 |
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|
6326 |
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|
6327 |
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|
6328 |
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|
6329 |
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|
6330 |
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|
6331 |
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|
6332 |
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|
6333 |
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|
6334 |
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|
6335 |
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|
6336 |
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|
6337 |
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|
6338 |
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6339 |
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|
6340 |
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|
6341 |
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6342 |
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6343 |
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|
6344 |
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|
6345 |
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|
6346 |
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6347 |
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|
6348 |
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|
6349 |
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|
6350 |
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|
6351 |
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|
6352 |
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|
6353 |
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|
6354 |
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|
6355 |
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6356 |
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|
6358 |
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|
6359 |
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|
6360 |
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|
6361 |
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|
6362 |
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|
6363 |
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|
6364 |
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|
6365 |
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|
6366 |
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|
6367 |
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|
6368 |
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|
6369 |
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|
6370 |
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6372 |
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|
6373 |
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|
6374 |
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|
6375 |
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|
6376 |
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|
6377 |
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|
6378 |
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6379 |
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|
6380 |
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|
6381 |
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|
6382 |
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|
6383 |
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|
6384 |
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|
6385 |
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|
6386 |
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|
6387 |
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|
6388 |
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|
6389 |
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|
6390 |
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|
6391 |
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|
6392 |
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|
6393 |
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|
6394 |
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|
6395 |
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|
6396 |
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|
6397 |
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|
6398 |
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|
6399 |
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|
6400 |
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|
6401 |
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|
6402 |
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|
6403 |
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|
6404 |
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|
6405 |
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|
6406 |
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|
6407 |
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|
6408 |
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|
6409 |
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|
6410 |
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|
6411 |
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|
6412 |
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|
6413 |
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|
6414 |
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|
6415 |
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|
6416 |
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|
6417 |
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|
6418 |
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|
6419 |
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|
6420 |
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|
6421 |
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|
6422 |
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|
6423 |
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|
6424 |
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|
6425 |
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|
6426 |
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|
6427 |
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|
6428 |
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|
6429 |
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|
6430 |
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|
6431 |
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|
6432 |
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|
6433 |
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|
6434 |
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"zed",
|
6919 |
+
"zero",
|
6920 |
+
"zes",
|
6921 |
+
"zon",
|
6922 |
+
"zone",
|
6923 |
+
"zones",
|
6924 |
+
"zoramthanga",
|
6925 |
+
"zov",
|
6926 |
+
"|",
|
6927 |
+
"}",
|
6928 |
+
"\u00a0",
|
6929 |
+
"\u00ac",
|
6930 |
+
"\u00ac_\u00ac",
|
6931 |
+
"\u00af",
|
6932 |
+
"\u00af\\(x)/\u00af",
|
6933 |
+
"\u00af\\(\u30c4)/\u00af",
|
6934 |
+
"\u00b0",
|
6935 |
+
"\u00b0C.",
|
6936 |
+
"\u00b0F.",
|
6937 |
+
"\u00b0K.",
|
6938 |
+
"\u00b0X.",
|
6939 |
+
"\u00b0c.",
|
6940 |
+
"\u00b0f.",
|
6941 |
+
"\u00b0k.",
|
6942 |
+
"\u00b0x.",
|
6943 |
+
"\u00e0",
|
6944 |
+
"\u00e4",
|
6945 |
+
"\u00e4.",
|
6946 |
+
"\u00f6",
|
6947 |
+
"\u00f6.",
|
6948 |
+
"\u00fc",
|
6949 |
+
"\u00fc.",
|
6950 |
+
"\u0ca0",
|
6951 |
+
"\u0ca0_\u0ca0",
|
6952 |
+
"\u0ca0\ufe35\u0ca0",
|
6953 |
+
"\u2013",
|
6954 |
+
"\u2014",
|
6955 |
+
"\u2018",
|
6956 |
+
"\u2018S",
|
6957 |
+
"\u2018X",
|
6958 |
+
"\u2018s",
|
6959 |
+
"\u2018x",
|
6960 |
+
"\u2019",
|
6961 |
+
"\u2019-(",
|
6962 |
+
"\u2019-)",
|
6963 |
+
"\u2019Cause",
|
6964 |
+
"\u2019Cos",
|
6965 |
+
"\u2019Coz",
|
6966 |
+
"\u2019Cuz",
|
6967 |
+
"\u2019S",
|
6968 |
+
"\u2019X",
|
6969 |
+
"\u2019Xxx",
|
6970 |
+
"\u2019Xxxxx",
|
6971 |
+
"\u2019am",
|
6972 |
+
"\u2019bout",
|
6973 |
+
"\u2019cause",
|
6974 |
+
"\u2019cos",
|
6975 |
+
"\u2019coz",
|
6976 |
+
"\u2019cuz",
|
6977 |
+
"\u2019d",
|
6978 |
+
"\u2019em",
|
6979 |
+
"\u2019ll",
|
6980 |
+
"\u2019m",
|
6981 |
+
"\u2019nuff",
|
6982 |
+
"\u2019re",
|
6983 |
+
"\u2019s",
|
6984 |
+
"\u2019ve",
|
6985 |
+
"\u2019x",
|
6986 |
+
"\u2019xx",
|
6987 |
+
"\u2019xxx",
|
6988 |
+
"\u2019xxxx",
|
6989 |
+
"\u2019y",
|
6990 |
+
"\u2019\u2019",
|
6991 |
+
"\u201c",
|
6992 |
+
"\u201cThe",
|
6993 |
+
"\u201cXxx",
|
6994 |
+
"\u201cthe",
|
6995 |
+
"\u201cxxx",
|
6996 |
+
"\u201d",
|
6997 |
+
"\u201dFinance",
|
6998 |
+
"\u201dSince",
|
6999 |
+
"\u201dXxxxx",
|
7000 |
+
"\u201dfinance",
|
7001 |
+
"\u201dsince",
|
7002 |
+
"\u201dxxxx",
|
7003 |
+
"\u2501",
|
7004 |
+
"\u253b",
|
7005 |
+
"\u253b\u2501\u253b",
|
7006 |
+
"\u256f",
|
7007 |
+
"\u25a1",
|
7008 |
+
"\ufe35",
|
7009 |
+
"\uff09"
|
7010 |
+
]
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|