Update spaCy pipeline
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +146 -0
- en_pipeline-any-py3-none-any.whl +3 -0
- meta.json +84 -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 +1446 -0
- vocab/vectors +0 -0
- vocab/vectors.cfg +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,5 @@ 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_pipeline-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_pipeline
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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_pipeline` |
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| **Version** | `0.0.0` |
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| **spaCy** | `>=3.5.2,<3.6.0` |
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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 (6 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `BMW_AVLB_PACKAGES`, `BMW_ENGINE`, `BMW_ROOF_CONFIG`, `BMW_SALES_DESCP`, `BMW_STR_CONFIG`, `BMW_VEHICLE` |
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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` | 4036946.58 |
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| `NER_LOSS` | 2486547.16 |
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config.cfg
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[paths]
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train = "./train.spacy"
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dev = "./train.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_pipeline-any-py3-none-any.whl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7d2f7d6a98f431fe835162d9797d6fd9cdfb6a98d23e852431f7875ff97ff84
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size 421761189
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meta.json
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{
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"lang":"en",
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"name":"pipeline",
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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":">=3.5.2,<3.6.0",
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"spacy_git_version":"aea4a96f9",
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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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"BMW_AVLB_PACKAGES",
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"BMW_ENGINE",
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"BMW_ROOF_CONFIG",
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"BMW_SALES_DESCP",
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"BMW_STR_CONFIG",
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"BMW_VEHICLE"
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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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"BMW_VEHICLE":{
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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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"BMW_ROOF_CONFIG":{
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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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"BMW_AVLB_PACKAGES":{
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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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"BMW_SALES_DESCP":{
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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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"BMW_STR_CONFIG":{
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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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"BMW_ENGINE":{
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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":40369.4658297447,
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"ner_loss":24865.4716244685
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},
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"requirements":[
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"spacy-transformers>=1.2.3,<1.3.0"
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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
ADDED
Binary file (239 kB). View file
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ner/moves
ADDED
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|
1 |
+
[
|
2 |
+
"\t",
|
3 |
+
"\n",
|
4 |
+
"\r",
|
5 |
+
" ",
|
6 |
+
" ",
|
7 |
+
"\"",
|
8 |
+
"'",
|
9 |
+
"''",
|
10 |
+
"'-(",
|
11 |
+
"'-)",
|
12 |
+
"'Cause",
|
13 |
+
"'Cos",
|
14 |
+
"'Coz",
|
15 |
+
"'Cuz",
|
16 |
+
"'S",
|
17 |
+
"'X",
|
18 |
+
"'Xxx",
|
19 |
+
"'Xxxxx",
|
20 |
+
"'am",
|
21 |
+
"'bout",
|
22 |
+
"'cause",
|
23 |
+
"'cos",
|
24 |
+
"'coz",
|
25 |
+
"'cuz",
|
26 |
+
"'d",
|
27 |
+
"'em",
|
28 |
+
"'ll",
|
29 |
+
"'m",
|
30 |
+
"'nuff",
|
31 |
+
"'re",
|
32 |
+
"'s",
|
33 |
+
"'ve",
|
34 |
+
"'x",
|
35 |
+
"'xx",
|
36 |
+
"'xxx",
|
37 |
+
"'xxxx",
|
38 |
+
"'y",
|
39 |
+
"(",
|
40 |
+
"(((",
|
41 |
+
"(*>",
|
42 |
+
"(*_*)",
|
43 |
+
"(-8",
|
44 |
+
"(-:",
|
45 |
+
"(-;",
|
46 |
+
"(-_-)",
|
47 |
+
"(-d",
|
48 |
+
"(._.)",
|
49 |
+
"(:",
|
50 |
+
"(;",
|
51 |
+
"(=",
|
52 |
+
"(>_<)",
|
53 |
+
"(^_^)",
|
54 |
+
"(o:",
|
55 |
+
"(x:",
|
56 |
+
"(x_x)",
|
57 |
+
"(\u00ac_\u00ac)",
|
58 |
+
"(\u0ca0_\u0ca0)",
|
59 |
+
"(\u256f\u00b0\u25a1\u00b0\uff09\u256f\ufe35\u253b\u2501\u253b",
|
60 |
+
")",
|
61 |
+
")))",
|
62 |
+
")-:",
|
63 |
+
")/\u00af",
|
64 |
+
"):",
|
65 |
+
"*",
|
66 |
+
",",
|
67 |
+
"-",
|
68 |
+
"-((",
|
69 |
+
"-))",
|
70 |
+
"-/",
|
71 |
+
"-0",
|
72 |
+
"-3",
|
73 |
+
"-8",
|
74 |
+
"-D",
|
75 |
+
"-O",
|
76 |
+
"-P",
|
77 |
+
"-X",
|
78 |
+
"-_-",
|
79 |
+
"-__-",
|
80 |
+
"-d",
|
81 |
+
"-o",
|
82 |
+
"-p",
|
83 |
+
"-x",
|
84 |
+
"-|",
|
85 |
+
".",
|
86 |
+
".C.",
|
87 |
+
".D.",
|
88 |
+
".E.",
|
89 |
+
".G.",
|
90 |
+
".H.",
|
91 |
+
".J.",
|
92 |
+
".M.",
|
93 |
+
".Y.",
|
94 |
+
"._.",
|
95 |
+
".e.",
|
96 |
+
".g.",
|
97 |
+
".m.",
|
98 |
+
".s.",
|
99 |
+
"/",
|
100 |
+
"/3",
|
101 |
+
"/d",
|
102 |
+
"/or",
|
103 |
+
"0",
|
104 |
+
"0.0",
|
105 |
+
"0.o",
|
106 |
+
"018",
|
107 |
+
"021",
|
108 |
+
"022",
|
109 |
+
"023",
|
110 |
+
"024",
|
111 |
+
"05A",
|
112 |
+
"05a",
|
113 |
+
"0O0",
|
114 |
+
"0O1",
|
115 |
+
"0_0",
|
116 |
+
"0_o",
|
117 |
+
"0o0",
|
118 |
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"0o1",
|
119 |
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|
120 |
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121 |
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|
122 |
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123 |
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|
124 |
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125 |
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"11",
|
126 |
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|
127 |
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|
128 |
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|
129 |
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"11p.m.",
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130 |
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"12",
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131 |
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132 |
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"12a.m.",
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133 |
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|
134 |
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"12p.m.",
|
135 |
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"12th",
|
136 |
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"15th",
|
137 |
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"17th",
|
138 |
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|
139 |
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"19th",
|
140 |
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|
141 |
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142 |
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|
143 |
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144 |
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145 |
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146 |
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|
147 |
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|
148 |
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|
149 |
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"2024",
|
150 |
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|
151 |
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|
152 |
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"2a.m.",
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153 |
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"2p.m",
|
154 |
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"2p.m.",
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155 |
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|
156 |
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"3",
|
157 |
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|
158 |
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"33",
|
159 |
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"333",
|
160 |
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164 |
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165 |
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166 |
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167 |
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169 |
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170 |
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171 |
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"5",
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172 |
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173 |
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"5a.m.",
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174 |
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|
175 |
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176 |
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177 |
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"6",
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178 |
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179 |
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180 |
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181 |
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183 |
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184 |
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185 |
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186 |
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"7p.m.",
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188 |
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189 |
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203 |
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205 |
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207 |
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":",
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215 |
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":()",
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":)",
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218 |
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":)))",
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219 |
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":*",
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220 |
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":-(",
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221 |
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222 |
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":-(((",
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223 |
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":-))",
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":-)))",
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245 |
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":3",
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248 |
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":O",
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249 |
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":P",
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250 |
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":X",
|
251 |
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":]",
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252 |
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":d",
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253 |
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":o",
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254 |
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":o)",
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255 |
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":p",
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256 |
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":x",
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257 |
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":x)",
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258 |
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":|",
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259 |
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":}",
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260 |
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":\u2019(",
|
261 |
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":\u2019)",
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262 |
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":\u2019-(",
|
263 |
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":\u2019-)",
|
264 |
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";",
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265 |
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";)",
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266 |
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";-)",
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267 |
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";-D",
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268 |
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";-X",
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269 |
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";-d",
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270 |
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";D",
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271 |
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";X",
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272 |
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";_;",
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273 |
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";d",
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274 |
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"<",
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275 |
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|
276 |
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"</3",
|
277 |
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"</d",
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278 |
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"<3",
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279 |
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"<33",
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280 |
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"<333",
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281 |
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282 |
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"<dd",
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283 |
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"<ddd",
|
284 |
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"<space>",
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285 |
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"<xxxx>",
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286 |
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"=",
|
287 |
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"=(",
|
288 |
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"=)",
|
289 |
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"=/",
|
290 |
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"=3",
|
291 |
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"=D",
|
292 |
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"=X",
|
293 |
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"=[",
|
294 |
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"=]",
|
295 |
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"=d",
|
296 |
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"=|",
|
297 |
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">",
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298 |
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">.<",
|
299 |
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">.>",
|
300 |
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">:(",
|
301 |
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">:o",
|
302 |
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">:x",
|
303 |
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"><(((*>",
|
304 |
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"?",
|
305 |
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"@",
|
306 |
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"@_@",
|
307 |
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"A",
|
308 |
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"Adm",
|
309 |
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"Adm.",
|
310 |
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"Ai",
|
311 |
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"Ak",
|
312 |
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"Ak.",
|
313 |
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"Ala",
|
314 |
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"Ala.",
|
315 |
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"Alabama",
|
316 |
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|
317 |
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"Apr",
|
318 |
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"Apr.",
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319 |
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"April",
|
320 |
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|
321 |
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|
322 |
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"Ariz.",
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323 |
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"Arizona",
|
324 |
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"Ark",
|
325 |
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"Ark.",
|
326 |
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"Arkansas",
|
327 |
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"Aug",
|
328 |
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"Aug.",
|
329 |
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"August",
|
330 |
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"B",
|
331 |
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"B30",
|
332 |
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"BMW",
|
333 |
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"BMW_AVLB_PACKAGES",
|
334 |
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"BMW_ENGINE",
|
335 |
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"BMW_ROOF_CONFIG",
|
336 |
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"BMW_SALES_DESCP",
|
337 |
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"BMW_STR_CONFIG",
|
338 |
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"BMW_VEHICLE",
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339 |
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340 |
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341 |
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"C",
|
342 |
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"C'm",
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343 |
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"C++",
|
344 |
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"C.",
|
345 |
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"CLE",
|
346 |
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"Ca",
|
347 |
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"Calif",
|
348 |
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"Calif.",
|
349 |
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"California",
|
350 |
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"Can",
|
351 |
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"Cause",
|
352 |
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"Co",
|
353 |
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"Co.",
|
354 |
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"Colo",
|
355 |
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"Colo.",
|
356 |
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"Colorado",
|
357 |
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"Comfort",
|
358 |
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"Conn",
|
359 |
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"Conn.",
|
360 |
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"Connecticut",
|
361 |
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"Corp",
|
362 |
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"Corp.",
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363 |
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"Cos",
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364 |
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"Could",
|
365 |
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"Coz",
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366 |
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"Cuz",
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367 |
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"C\u2019m",
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368 |
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"D",
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369 |
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"D.",
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370 |
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"D.C.",
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371 |
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"Dare",
|
372 |
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"Dec",
|
373 |
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"Dec.",
|
374 |
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"December",
|
375 |
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"Del",
|
376 |
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"Del.",
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377 |
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"Delaware",
|
378 |
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"Did",
|
379 |
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"Do",
|
380 |
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"Does",
|
381 |
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"Doin",
|
382 |
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"Doin'",
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383 |
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"Doin\u2019",
|
384 |
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"Dr",
|
385 |
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"Dr.",
|
386 |
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"E",
|
387 |
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"E.G.",
|
388 |
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"E.g",
|
389 |
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"E.g.",
|
390 |
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"E70",
|
391 |
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"E71",
|
392 |
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"ECE",
|
393 |
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"EU",
|
394 |
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"Engine",
|
395 |
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"F",
|
396 |
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"F.",
|
397 |
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"FIG",
|
398 |
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|
399 |
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"Feb.",
|
400 |
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"February",
|
401 |
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|
402 |
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"Fla.",
|
403 |
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"Florida",
|
404 |
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"G",
|
405 |
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"GES",
|
406 |
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"Ga",
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407 |
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408 |
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409 |
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"Gen.",
|
410 |
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"Georgia",
|
411 |
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|
412 |
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|
413 |
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"Goin'",
|
414 |
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|
415 |
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416 |
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|
417 |
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|
418 |
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"Gov.",
|
419 |
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"H",
|
420 |
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|
421 |
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|
422 |
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"Have",
|
423 |
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"Havin",
|
424 |
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"Havin'",
|
425 |
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"Havin\u2019",
|
426 |
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"He",
|
427 |
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"He's",
|
428 |
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|
429 |
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|
430 |
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|
431 |
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|
432 |
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|
433 |
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"I",
|
434 |
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"I.E.",
|
435 |
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"I.e",
|
436 |
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"I.e.",
|
437 |
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"INE",
|
438 |
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|
439 |
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"Ia.",
|
440 |
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"Id",
|
441 |
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"Id.",
|
442 |
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"Idaho",
|
443 |
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"Ill",
|
444 |
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"Ill.",
|
445 |
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"Illinois",
|
446 |
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|
447 |
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"Inc.",
|
448 |
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"Ind",
|
449 |
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"Ind.",
|
450 |
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"Indiana",
|
451 |
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|
452 |
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|
453 |
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|
454 |
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|
455 |
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|
456 |
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|
457 |
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|
458 |
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|
459 |
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|
460 |
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|
461 |
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|
462 |
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|
463 |
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|
464 |
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|
465 |
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|
466 |
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|
467 |
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|
468 |
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"K",
|
469 |
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"K.",
|
470 |
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"Kan",
|
471 |
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"Kan.",
|
472 |
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"Kans",
|
473 |
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|
474 |
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"Kansas",
|
475 |
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|
476 |
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|
477 |
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|
478 |
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|
479 |
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"La",
|
480 |
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|
481 |
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|
482 |
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|
483 |
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|
484 |
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|
485 |
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|
486 |
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|
487 |
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|
488 |
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|
489 |
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"Ltd",
|
490 |
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|
491 |
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"M",
|
492 |
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"M8",
|
493 |
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"Ma'am",
|
494 |
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"Mar",
|
495 |
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"Mar.",
|
496 |
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"March",
|
497 |
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"Mass",
|
498 |
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"Mass.",
|
499 |
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"Massachusetts",
|
500 |
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"May",
|
501 |
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"Ma\u2019am",
|
502 |
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"Md",
|
503 |
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"Md.",
|
504 |
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"Messrs",
|
505 |
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"Messrs.",
|
506 |
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"Mich",
|
507 |
+
"Mich.",
|
508 |
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"Michigan",
|
509 |
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"Might",
|
510 |
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"Minn",
|
511 |
+
"Minn.",
|
512 |
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"Minnesota",
|
513 |
+
"Miss",
|
514 |
+
"Miss.",
|
515 |
+
"Mississippi",
|
516 |
+
"Mo",
|
517 |
+
"Mo.",
|
518 |
+
"Mont",
|
519 |
+
"Mont.",
|
520 |
+
"Mount",
|
521 |
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"Mr",
|
522 |
+
"Mr.",
|
523 |
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"Mrs",
|
524 |
+
"Mrs.",
|
525 |
+
"Ms",
|
526 |
+
"Ms.",
|
527 |
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"Mt",
|
528 |
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"Mt.",
|
529 |
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"Must",
|
530 |
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"N",
|
531 |
+
"N.C.",
|
532 |
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"N.D.",
|
533 |
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"N.H.",
|
534 |
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"N.J.",
|
535 |
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"N.M.",
|
536 |
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"N.Y.",
|
537 |
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"N52B30",
|
538 |
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"N52B30O1",
|
539 |
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"N53B30O0",
|
540 |
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"Neb",
|
541 |
+
"Neb.",
|
542 |
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"Nebr",
|
543 |
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"Nebr.",
|
544 |
+
"Nebraska",
|
545 |
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"Need",
|
546 |
+
"Nev",
|
547 |
+
"Nev.",
|
548 |
+
"Nevada",
|
549 |
+
"New Hampshire",
|
550 |
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|
551 |
+
"New Mexico",
|
552 |
+
"New York",
|
553 |
+
"North Carolina",
|
554 |
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|
555 |
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|
556 |
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"Nothin",
|
557 |
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|
558 |
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"Nothin\u2019",
|
559 |
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|
560 |
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"Nov.",
|
561 |
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"November",
|
562 |
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"Nuthin",
|
563 |
+
"Nuthin'",
|
564 |
+
"Nuthin\u2019",
|
565 |
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"O",
|
566 |
+
"O'clock",
|
567 |
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"O.O",
|
568 |
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"O.o",
|
569 |
+
"O_O",
|
570 |
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"O_o",
|
571 |
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"Oct",
|
572 |
+
"Oct.",
|
573 |
+
"October",
|
574 |
+
"Okla",
|
575 |
+
"Okla.",
|
576 |
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|
577 |
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|
578 |
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|
579 |
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|
580 |
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|
581 |
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|
582 |
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"Oregon",
|
583 |
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"Ought",
|
584 |
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|
585 |
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"P",
|
586 |
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"Pa",
|
587 |
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"Pa.",
|
588 |
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"Package",
|
589 |
+
"Panorama",
|
590 |
+
"Pennsylvania",
|
591 |
+
"Ph",
|
592 |
+
"Ph.D.",
|
593 |
+
"Pro",
|
594 |
+
"Prof",
|
595 |
+
"Prof.",
|
596 |
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"R",
|
597 |
+
"ROOT",
|
598 |
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"Rep",
|
599 |
+
"Rep.",
|
600 |
+
"Rev",
|
601 |
+
"Rev.",
|
602 |
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"Roof",
|
603 |
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"S",
|
604 |
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"S.C.",
|
605 |
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"S205A",
|
606 |
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|
607 |
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|
608 |
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|
609 |
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|
610 |
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|
611 |
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|
612 |
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"Sept.",
|
613 |
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"September",
|
614 |
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|
615 |
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|
616 |
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"She's",
|
617 |
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|
618 |
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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"Somethin\u2019",
|
623 |
+
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|
624 |
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|
625 |
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|
626 |
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"St.",
|
627 |
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1127 |
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"october",
|
1128 |
+
"oes",
|
1129 |
+
"of",
|
1130 |
+
"of.",
|
1131 |
+
"oin",
|
1132 |
+
"okla",
|
1133 |
+
"okla.",
|
1134 |
+
"ol",
|
1135 |
+
"ol'",
|
1136 |
+
"old",
|
1137 |
+
"olo",
|
1138 |
+
"ol\u2019",
|
1139 |
+
"on",
|
1140 |
+
"onn",
|
1141 |
+
"ont",
|
1142 |
+
"oof",
|
1143 |
+
"or",
|
1144 |
+
"order",
|
1145 |
+
"ordering",
|
1146 |
+
"ore",
|
1147 |
+
"ore.",
|
1148 |
+
"orp",
|
1149 |
+
"ort",
|
1150 |
+
"os.",
|
1151 |
+
"ose",
|
1152 |
+
"ought",
|
1153 |
+
"out",
|
1154 |
+
"ov.",
|
1155 |
+
"o\u2019clock",
|
1156 |
+
"o\u2019s",
|
1157 |
+
"p",
|
1158 |
+
"p.",
|
1159 |
+
"p.m",
|
1160 |
+
"p.m.",
|
1161 |
+
"pa",
|
1162 |
+
"pa.",
|
1163 |
+
"package",
|
1164 |
+
"panorama",
|
1165 |
+
"ph",
|
1166 |
+
"ph.d.",
|
1167 |
+
"planning",
|
1168 |
+
"pm",
|
1169 |
+
"possible",
|
1170 |
+
"pr.",
|
1171 |
+
"pro",
|
1172 |
+
"prof",
|
1173 |
+
"prof.",
|
1174 |
+
"pt.",
|
1175 |
+
"purchase",
|
1176 |
+
"q",
|
1177 |
+
"q.",
|
1178 |
+
"r",
|
1179 |
+
"r.",
|
1180 |
+
"rch",
|
1181 |
+
"re",
|
1182 |
+
"re.",
|
1183 |
+
"rep",
|
1184 |
+
"rep.",
|
1185 |
+
"rev",
|
1186 |
+
"rev.",
|
1187 |
+
"right",
|
1188 |
+
"ril",
|
1189 |
+
"riz",
|
1190 |
+
"rk.",
|
1191 |
+
"rof",
|
1192 |
+
"roof",
|
1193 |
+
"ros",
|
1194 |
+
"rp.",
|
1195 |
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"rs.",
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1196 |
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"s",
|
1197 |
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"s's",
|
1198 |
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"s.",
|
1199 |
+
"s.c.",
|
1200 |
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"s205a",
|
1201 |
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"sen",
|
1202 |
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"sen.",
|
1203 |
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"sep",
|
1204 |
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"sep.",
|
1205 |
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"sept",
|
1206 |
+
"sept.",
|
1207 |
+
"september",
|
1208 |
+
"sh.",
|
1209 |
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"sha",
|
1210 |
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|
1211 |
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|
1212 |
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|
1213 |
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"she\u2019s",
|
1214 |
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|
1215 |
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"sky",
|
1216 |
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1217 |
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1218 |
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"something",
|
1219 |
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1220 |
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1221 |
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|
1222 |
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|
1223 |
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1224 |
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|
1225 |
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1226 |
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|
1227 |
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|
1228 |
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"s\u2019s",
|
1229 |
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"t",
|
1230 |
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|
1231 |
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"t.",
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1232 |
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"ta",
|
1233 |
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1234 |
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1235 |
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1236 |
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1237 |
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1238 |
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1239 |
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1240 |
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1241 |
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1242 |
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1243 |
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1244 |
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1245 |
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1246 |
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1247 |
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1249 |
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1250 |
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1251 |
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1253 |
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1254 |
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1255 |
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1256 |
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1257 |
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1258 |
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1259 |
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1260 |
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1261 |
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1262 |
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1263 |
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1264 |
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1265 |
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1268 |
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1269 |
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1272 |
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1273 |
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1274 |
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1275 |
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1276 |
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1277 |
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1279 |
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1297 |
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1304 |
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1305 |
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1307 |
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1310 |
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1311 |
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1322 |
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1323 |
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1325 |
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1327 |
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1328 |
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1329 |
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1330 |
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1331 |
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1332 |
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1333 |
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1334 |
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1335 |
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1336 |
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1337 |
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1338 |
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|
1339 |
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|
1340 |
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"xdrive40",
|
1341 |
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"xdrive40d",
|
1342 |
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"xdrive40i",
|
1343 |
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|
1344 |
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1345 |
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1346 |
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1347 |
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1348 |
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1349 |
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1350 |
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1351 |
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1352 |
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1353 |
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1354 |
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1355 |
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1356 |
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|
1357 |
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|
1358 |
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|
1359 |
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|
1360 |
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|
1361 |
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|
1362 |
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1363 |
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|
1364 |
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1365 |
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1366 |
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|
1367 |
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"y",
|
1368 |
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|
1369 |
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|
1370 |
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1371 |
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1372 |
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1373 |
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1374 |
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"z",
|
1375 |
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"z.",
|
1376 |
+
"|",
|
1377 |
+
"}",
|
1378 |
+
"\u00a0",
|
1379 |
+
"\u00ac",
|
1380 |
+
"\u00ac_\u00ac",
|
1381 |
+
"\u00af",
|
1382 |
+
"\u00af\\(x)/\u00af",
|
1383 |
+
"\u00af\\(\u30c4)/\u00af",
|
1384 |
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"\u00b0",
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1385 |
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"\u00b0C.",
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1386 |
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"\u00b0F.",
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1387 |
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"\u00b0K.",
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1388 |
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"\u00b0X.",
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1389 |
+
"\u00b0c.",
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1390 |
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"\u00b0f.",
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1391 |
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"\u00b0k.",
|
1392 |
+
"\u00b0x.",
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1393 |
+
"\u00e4",
|
1394 |
+
"\u00e4.",
|
1395 |
+
"\u00f6",
|
1396 |
+
"\u00f6.",
|
1397 |
+
"\u00fc",
|
1398 |
+
"\u00fc.",
|
1399 |
+
"\u0ca0",
|
1400 |
+
"\u0ca0_\u0ca0",
|
1401 |
+
"\u0ca0\ufe35\u0ca0",
|
1402 |
+
"\u2014",
|
1403 |
+
"\u2018",
|
1404 |
+
"\u2018S",
|
1405 |
+
"\u2018X",
|
1406 |
+
"\u2018s",
|
1407 |
+
"\u2018x",
|
1408 |
+
"\u2019",
|
1409 |
+
"\u2019-(",
|
1410 |
+
"\u2019-)",
|
1411 |
+
"\u2019Cause",
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1412 |
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"\u2019Cos",
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1413 |
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"\u2019Coz",
|
1414 |
+
"\u2019Cuz",
|
1415 |
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"\u2019S",
|
1416 |
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"\u2019X",
|
1417 |
+
"\u2019Xxx",
|
1418 |
+
"\u2019Xxxxx",
|
1419 |
+
"\u2019am",
|
1420 |
+
"\u2019bout",
|
1421 |
+
"\u2019cause",
|
1422 |
+
"\u2019cos",
|
1423 |
+
"\u2019coz",
|
1424 |
+
"\u2019cuz",
|
1425 |
+
"\u2019d",
|
1426 |
+
"\u2019em",
|
1427 |
+
"\u2019ll",
|
1428 |
+
"\u2019m",
|
1429 |
+
"\u2019nuff",
|
1430 |
+
"\u2019re",
|
1431 |
+
"\u2019s",
|
1432 |
+
"\u2019ve",
|
1433 |
+
"\u2019x",
|
1434 |
+
"\u2019xx",
|
1435 |
+
"\u2019xxx",
|
1436 |
+
"\u2019xxxx",
|
1437 |
+
"\u2019y",
|
1438 |
+
"\u2019\u2019",
|
1439 |
+
"\u2501",
|
1440 |
+
"\u253b",
|
1441 |
+
"\u253b\u2501\u253b",
|
1442 |
+
"\u256f",
|
1443 |
+
"\u25a1",
|
1444 |
+
"\ufe35",
|
1445 |
+
"\uff09"
|
1446 |
+
]
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|