Commit
•
5a08c99
1
Parent(s):
a239e4c
updated_model
Browse files- .gitattributes +2 -0
- README.md +56 -0
- config.cfg +144 -0
- en_pipeline-any-py3-none-any.whl +3 -0
- meta.json +132 -0
- ner/cfg +13 -0
- ner/model +0 -0
- ner/moves +1 -0
- tok2vec/cfg +3 -0
- tok2vec/model +3 -0
- tokenizer +3 -0
- vocab/key2row +1 -0
- vocab/lookups.bin +3 -0
- vocab/strings.json +2231 -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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tok2vec/model filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,56 @@
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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: 0.9907407407
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- name: NER Recall
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type: recall
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value: 0.9960106383
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- name: NER F Score
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type: f_score
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value: 0.9933687003
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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** | `>=3.5.1,<3.6.0` |
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| **Default Pipeline** | `tok2vec`, `ner` |
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| **Components** | `tok2vec`, `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 (14 labels for 1 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`ner`** | `BOOK`, `COMODITY`, `CONTAINER COUNT`, `CONTAINER SIZE`, `CONTAINER SIZE-COUNT`, `DESTINATION`, `ENQUIRY`, `HELP`, `INCOTERM`, `KYC`, `ORIGIN`, `SEARCH RATES`, `SHIP`, `SHIPMENT TYPE` |
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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` | 99.34 |
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| `ENTS_P` | 99.07 |
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| `ENTS_R` | 99.60 |
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| `TOK2VEC_LOSS` | 6119.15 |
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| `NER_LOSS` | 67099.47 |
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config.cfg
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@@ -0,0 +1,144 @@
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[paths]
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train = "spacy_model/training_data.spacy"
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dev = "spacy_model/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 = null
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seed = 0
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[nlp]
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lang = "en"
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pipeline = ["tok2vec","ner"]
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batch_size = 1000
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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 = true
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nO = null
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[components.ner.model.tok2vec]
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@architectures = "spacy.Tok2VecListener.v1"
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width = ${components.tok2vec.model.encode.width}
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upstream = "*"
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[components.tok2vec]
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factory = "tok2vec"
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[components.tok2vec.model]
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@architectures = "spacy.Tok2Vec.v2"
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[components.tok2vec.model.embed]
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@architectures = "spacy.MultiHashEmbed.v2"
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width = ${components.tok2vec.model.encode.width}
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attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
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rows = [5000,1000,2500,2500]
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include_static_vectors = false
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[components.tok2vec.model.encode]
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@architectures = "spacy.MaxoutWindowEncoder.v2"
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width = 96
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depth = 4
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window_size = 1
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maxout_pieces = 3
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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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+
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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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+
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[training]
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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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accumulate_gradient = 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_words.v1"
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discard_oversize = false
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tolerance = 0.2
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get_length = null
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[training.batcher.size]
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@schedules = "compounding.v1"
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start = 100
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stop = 1000
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compound = 1.001
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t = 0.0
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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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learn_rate = 0.001
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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:d1590289f148286d2f9e8568822d0a901318c47422b137bb61322d5024d16aa1
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size 5688723
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meta.json
ADDED
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{
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"lang":"en",
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"name":"pipeline",
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"version":"0.0.0",
|
5 |
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"description":"",
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6 |
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"author":"",
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7 |
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"email":"",
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"url":"",
|
9 |
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"license":"",
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"spacy_version":">=3.5.1,<3.6.0",
|
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"spacy_git_version":"8153bd573",
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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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"tok2vec":[
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],
|
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"ner":[
|
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"BOOK",
|
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"COMODITY",
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"CONTAINER COUNT",
|
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"CONTAINER SIZE",
|
27 |
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"CONTAINER SIZE-COUNT",
|
28 |
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"DESTINATION",
|
29 |
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"ENQUIRY",
|
30 |
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"HELP",
|
31 |
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"INCOTERM",
|
32 |
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"KYC",
|
33 |
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"ORIGIN",
|
34 |
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"SEARCH RATES",
|
35 |
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"SHIP",
|
36 |
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"SHIPMENT TYPE"
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37 |
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]
|
38 |
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},
|
39 |
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"pipeline":[
|
40 |
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"tok2vec",
|
41 |
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"ner"
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],
|
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"components":[
|
44 |
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"tok2vec",
|
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"ner"
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],
|
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"disabled":[
|
48 |
+
|
49 |
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],
|
50 |
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"performance":{
|
51 |
+
"ents_f":0.9933687003,
|
52 |
+
"ents_p":0.9907407407,
|
53 |
+
"ents_r":0.9960106383,
|
54 |
+
"ents_per_type":{
|
55 |
+
"SEARCH RATES":{
|
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"p":1.0,
|
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"r":1.0,
|
58 |
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"f":1.0
|
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},
|
60 |
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"ORIGIN":{
|
61 |
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"p":1.0,
|
62 |
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"r":1.0,
|
63 |
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"f":1.0
|
64 |
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},
|
65 |
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"DESTINATION":{
|
66 |
+
"p":1.0,
|
67 |
+
"r":0.9898989899,
|
68 |
+
"f":0.9949238579
|
69 |
+
},
|
70 |
+
"BOOK":{
|
71 |
+
"p":1.0,
|
72 |
+
"r":1.0,
|
73 |
+
"f":1.0
|
74 |
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},
|
75 |
+
"SHIP":{
|
76 |
+
"p":0.987654321,
|
77 |
+
"r":1.0,
|
78 |
+
"f":0.9937888199
|
79 |
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},
|
80 |
+
"CONTAINER SIZE":{
|
81 |
+
"p":0.98,
|
82 |
+
"r":1.0,
|
83 |
+
"f":0.9898989899
|
84 |
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},
|
85 |
+
"SHIPMENT TYPE":{
|
86 |
+
"p":1.0,
|
87 |
+
"r":1.0,
|
88 |
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"f":1.0
|
89 |
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},
|
90 |
+
"ENQUIRY":{
|
91 |
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"p":0.875,
|
92 |
+
"r":1.0,
|
93 |
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"f":0.9333333333
|
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},
|
95 |
+
"HELP":{
|
96 |
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"p":1.0,
|
97 |
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"r":1.0,
|
98 |
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"f":1.0
|
99 |
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},
|
100 |
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"KYC":{
|
101 |
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"p":1.0,
|
102 |
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"r":1.0,
|
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|
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|
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|
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}
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ner/cfg
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{
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"multitasks":[
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|
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],
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|
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ner/model
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tok2vec/cfg
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{
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1 |
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[
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2 |
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345 |
+
"ANGELES",
|
346 |
+
"AVA",
|
347 |
+
"Abbas",
|
348 |
+
"Aden",
|
349 |
+
"Adm",
|
350 |
+
"Adm.",
|
351 |
+
"Africa",
|
352 |
+
"Ai",
|
353 |
+
"Air",
|
354 |
+
"Aires",
|
355 |
+
"Ak",
|
356 |
+
"Ak.",
|
357 |
+
"Ala",
|
358 |
+
"Ala.",
|
359 |
+
"Alabama",
|
360 |
+
"Alaska",
|
361 |
+
"Ali",
|
362 |
+
"Almaty",
|
363 |
+
"Also",
|
364 |
+
"Angeles",
|
365 |
+
"Apr",
|
366 |
+
"Apr.",
|
367 |
+
"April",
|
368 |
+
"Are",
|
369 |
+
"Ariz",
|
370 |
+
"Ariz.",
|
371 |
+
"Arizona",
|
372 |
+
"Ark",
|
373 |
+
"Ark.",
|
374 |
+
"Arkansas",
|
375 |
+
"Assistance",
|
376 |
+
"Auckland",
|
377 |
+
"Aug",
|
378 |
+
"Aug.",
|
379 |
+
"August",
|
380 |
+
"Australia",
|
381 |
+
"B",
|
382 |
+
"BOOK",
|
383 |
+
"Bandar",
|
384 |
+
"Bangladesh",
|
385 |
+
"Barcelona",
|
386 |
+
"Beijing",
|
387 |
+
"Berlin",
|
388 |
+
"Bhuj",
|
389 |
+
"Book",
|
390 |
+
"Booking",
|
391 |
+
"Brazil",
|
392 |
+
"Bros",
|
393 |
+
"Bros.",
|
394 |
+
"Buenos",
|
395 |
+
"Busan",
|
396 |
+
"C",
|
397 |
+
"C'm",
|
398 |
+
"C++",
|
399 |
+
"C.",
|
400 |
+
"CACAR",
|
401 |
+
"CAR",
|
402 |
+
"CBM",
|
403 |
+
"CFR",
|
404 |
+
"CIF",
|
405 |
+
"CMB",
|
406 |
+
"CNSGH",
|
407 |
+
"CNSNZ",
|
408 |
+
"COMMODITIES",
|
409 |
+
"COMODITY",
|
410 |
+
"CONTAINER COUNT",
|
411 |
+
"CONTAINER SIZE",
|
412 |
+
"CONTAINER SIZE-COUNT",
|
413 |
+
"Ca",
|
414 |
+
"Calif",
|
415 |
+
"Calif.",
|
416 |
+
"California",
|
417 |
+
"Can",
|
418 |
+
"Canada",
|
419 |
+
"Cape",
|
420 |
+
"Cargo",
|
421 |
+
"Cause",
|
422 |
+
"Channai",
|
423 |
+
"Chat",
|
424 |
+
"Chennai",
|
425 |
+
"Chicago",
|
426 |
+
"China",
|
427 |
+
"Chittagong",
|
428 |
+
"Co",
|
429 |
+
"Co.",
|
430 |
+
"Cold",
|
431 |
+
"Colo",
|
432 |
+
"Colo.",
|
433 |
+
"Colombo",
|
434 |
+
"Colorado",
|
435 |
+
"Commodities-",
|
436 |
+
"Complete",
|
437 |
+
"Confirm",
|
438 |
+
"Conn",
|
439 |
+
"Conn.",
|
440 |
+
"Connecticut",
|
441 |
+
"Consolidated",
|
442 |
+
"Container",
|
443 |
+
"Corp",
|
444 |
+
"Corp.",
|
445 |
+
"Cos",
|
446 |
+
"Cost",
|
447 |
+
"Could",
|
448 |
+
"Coz",
|
449 |
+
"Cross",
|
450 |
+
"Customs",
|
451 |
+
"Cuz",
|
452 |
+
"C\u2019m",
|
453 |
+
"D",
|
454 |
+
"D.",
|
455 |
+
"D.C.",
|
456 |
+
"DAR",
|
457 |
+
"DDP",
|
458 |
+
"DESTINATION",
|
459 |
+
"Dadri",
|
460 |
+
"Dare",
|
461 |
+
"Dec",
|
462 |
+
"Dec.",
|
463 |
+
"December",
|
464 |
+
"Del",
|
465 |
+
"Del.",
|
466 |
+
"Delaware",
|
467 |
+
"Destination",
|
468 |
+
"Did",
|
469 |
+
"Do",
|
470 |
+
"Does",
|
471 |
+
"Doin",
|
472 |
+
"Doin'",
|
473 |
+
"Doin\u2019",
|
474 |
+
"Dr",
|
475 |
+
"Dr.",
|
476 |
+
"Dubai",
|
477 |
+
"Durban",
|
478 |
+
"E",
|
479 |
+
"E.G.",
|
480 |
+
"E.g",
|
481 |
+
"E.g.",
|
482 |
+
"ELP",
|
483 |
+
"ENQUIRY",
|
484 |
+
"ERM",
|
485 |
+
"EVA",
|
486 |
+
"EXW",
|
487 |
+
"Egypt",
|
488 |
+
"Enquiries",
|
489 |
+
"Expedited",
|
490 |
+
"Export",
|
491 |
+
"Express",
|
492 |
+
"F",
|
493 |
+
"F.",
|
494 |
+
"FCL",
|
495 |
+
"FOB",
|
496 |
+
"FT",
|
497 |
+
"FTL",
|
498 |
+
"Feb",
|
499 |
+
"Feb.",
|
500 |
+
"February",
|
501 |
+
"Felixstowe",
|
502 |
+
"Fla",
|
503 |
+
"Fla.",
|
504 |
+
"Florida",
|
505 |
+
"For",
|
506 |
+
"Fragile",
|
507 |
+
"Frankfurt",
|
508 |
+
"Freight",
|
509 |
+
"Fresh",
|
510 |
+
"From",
|
511 |
+
"Full",
|
512 |
+
"G",
|
513 |
+
"GIN",
|
514 |
+
"Ga",
|
515 |
+
"Ga.",
|
516 |
+
"Gen",
|
517 |
+
"Gen.",
|
518 |
+
"Georgia",
|
519 |
+
"Germany",
|
520 |
+
"Give",
|
521 |
+
"Goin",
|
522 |
+
"Goin'",
|
523 |
+
"Goin\u2019",
|
524 |
+
"Gon",
|
525 |
+
"Goods",
|
526 |
+
"Got",
|
527 |
+
"Gov",
|
528 |
+
"Gov.",
|
529 |
+
"Guangzhou",
|
530 |
+
"H",
|
531 |
+
"HAZ",
|
532 |
+
"HELP",
|
533 |
+
"HIP",
|
534 |
+
"Had",
|
535 |
+
"Hamburg",
|
536 |
+
"Handle",
|
537 |
+
"Has",
|
538 |
+
"Have",
|
539 |
+
"Havin",
|
540 |
+
"Havin'",
|
541 |
+
"Havin\u2019",
|
542 |
+
"Hazmat",
|
543 |
+
"He",
|
544 |
+
"He's",
|
545 |
+
"Hello",
|
546 |
+
"Help",
|
547 |
+
"He\u2019s",
|
548 |
+
"Hi",
|
549 |
+
"Hong",
|
550 |
+
"Houston",
|
551 |
+
"How",
|
552 |
+
"How's",
|
553 |
+
"How\u2019s",
|
554 |
+
"I",
|
555 |
+
"I.E.",
|
556 |
+
"I.e",
|
557 |
+
"I.e.",
|
558 |
+
"ICD",
|
559 |
+
"IDE",
|
560 |
+
"IES",
|
561 |
+
"INC",
|
562 |
+
"INCOTERM",
|
563 |
+
"INMAA",
|
564 |
+
"INMUN",
|
565 |
+
"INNSA",
|
566 |
+
"INTKD",
|
567 |
+
"INTMB",
|
568 |
+
"ION",
|
569 |
+
"IRY",
|
570 |
+
"ITY",
|
571 |
+
"IZE",
|
572 |
+
"Ia",
|
573 |
+
"Ia.",
|
574 |
+
"Id",
|
575 |
+
"Id.",
|
576 |
+
"Idaho",
|
577 |
+
"Ill",
|
578 |
+
"Ill.",
|
579 |
+
"Illinois",
|
580 |
+
"Inc",
|
581 |
+
"Inc.",
|
582 |
+
"Ind",
|
583 |
+
"Ind.",
|
584 |
+
"India",
|
585 |
+
"Indiana",
|
586 |
+
"Indonesia",
|
587 |
+
"Insurance",
|
588 |
+
"Iowa",
|
589 |
+
"Is",
|
590 |
+
"Istanbul",
|
591 |
+
"It",
|
592 |
+
"It's",
|
593 |
+
"It\u2019s",
|
594 |
+
"J",
|
595 |
+
"JEA",
|
596 |
+
"JED",
|
597 |
+
"Jaipur",
|
598 |
+
"Jakarta",
|
599 |
+
"Jan",
|
600 |
+
"Jan.",
|
601 |
+
"Janeiro",
|
602 |
+
"January",
|
603 |
+
"Japan",
|
604 |
+
"Jebel",
|
605 |
+
"JnPT",
|
606 |
+
"Johannesburg",
|
607 |
+
"Jr",
|
608 |
+
"Jr.",
|
609 |
+
"Juan",
|
610 |
+
"Jul",
|
611 |
+
"Jul.",
|
612 |
+
"July",
|
613 |
+
"Jun",
|
614 |
+
"Jun.",
|
615 |
+
"June",
|
616 |
+
"Just",
|
617 |
+
"K",
|
618 |
+
"K.",
|
619 |
+
"KAOHSIUNG",
|
620 |
+
"KEMBA",
|
621 |
+
"KYC",
|
622 |
+
"Kan",
|
623 |
+
"Kan.",
|
624 |
+
"Kanpur",
|
625 |
+
"Kans",
|
626 |
+
"Kans.",
|
627 |
+
"Kansas",
|
628 |
+
"Kelang",
|
629 |
+
"Kentucky",
|
630 |
+
"Kenya",
|
631 |
+
"Kong",
|
632 |
+
"Korea",
|
633 |
+
"Ky",
|
634 |
+
"Ky.",
|
635 |
+
"L",
|
636 |
+
"LCL",
|
637 |
+
"LES",
|
638 |
+
"LKCMB",
|
639 |
+
"LOS",
|
640 |
+
"La",
|
641 |
+
"La.",
|
642 |
+
"Lanka",
|
643 |
+
"Large",
|
644 |
+
"Last",
|
645 |
+
"Let",
|
646 |
+
"Let's",
|
647 |
+
"Let\u2019s",
|
648 |
+
"Line",
|
649 |
+
"London",
|
650 |
+
"Looking",
|
651 |
+
"Los",
|
652 |
+
"Louisiana",
|
653 |
+
"Lovin",
|
654 |
+
"Lovin'",
|
655 |
+
"Lovin\u2019",
|
656 |
+
"Ltd",
|
657 |
+
"Ltd.",
|
658 |
+
"Ludhiana",
|
659 |
+
"M",
|
660 |
+
"MAA",
|
661 |
+
"MBA",
|
662 |
+
"MT",
|
663 |
+
"MUN",
|
664 |
+
"Ma'am",
|
665 |
+
"Machinery",
|
666 |
+
"Madrid",
|
667 |
+
"Manila",
|
668 |
+
"Mar",
|
669 |
+
"Mar.",
|
670 |
+
"March",
|
671 |
+
"Mass",
|
672 |
+
"Mass.",
|
673 |
+
"Massachusetts",
|
674 |
+
"Mauritania",
|
675 |
+
"May",
|
676 |
+
"Ma\u2019am",
|
677 |
+
"Md",
|
678 |
+
"Md.",
|
679 |
+
"Melbourne",
|
680 |
+
"Messrs",
|
681 |
+
"Messrs.",
|
682 |
+
"Miami",
|
683 |
+
"Mich",
|
684 |
+
"Mich.",
|
685 |
+
"Michigan",
|
686 |
+
"Might",
|
687 |
+
"Milan",
|
688 |
+
"Minn",
|
689 |
+
"Minn.",
|
690 |
+
"Minnesota",
|
691 |
+
"Miss",
|
692 |
+
"Miss.",
|
693 |
+
"Mississippi",
|
694 |
+
"Mo",
|
695 |
+
"Mo.",
|
696 |
+
"Mogadishu",
|
697 |
+
"Mombasa",
|
698 |
+
"Mont",
|
699 |
+
"Mont.",
|
700 |
+
"Moradabad",
|
701 |
+
"Mount",
|
702 |
+
"Mr",
|
703 |
+
"Mr.",
|
704 |
+
"Mrs",
|
705 |
+
"Mrs.",
|
706 |
+
"Ms",
|
707 |
+
"Ms.",
|
708 |
+
"Mt",
|
709 |
+
"Mt.",
|
710 |
+
"Mudra",
|
711 |
+
"Mukalla",
|
712 |
+
"Multiple",
|
713 |
+
"Mumbai",
|
714 |
+
"Mundra",
|
715 |
+
"Must",
|
716 |
+
"My",
|
717 |
+
"N",
|
718 |
+
"N.C.",
|
719 |
+
"N.D.",
|
720 |
+
"N.H.",
|
721 |
+
"N.J.",
|
722 |
+
"N.M.",
|
723 |
+
"N.Y.",
|
724 |
+
"NHAVA",
|
725 |
+
"NON",
|
726 |
+
"NSA",
|
727 |
+
"NYC",
|
728 |
+
"Nagoya",
|
729 |
+
"Neb",
|
730 |
+
"Neb.",
|
731 |
+
"Nebr",
|
732 |
+
"Nebr.",
|
733 |
+
"Nebraska",
|
734 |
+
"Need",
|
735 |
+
"Netherlands",
|
736 |
+
"Nev",
|
737 |
+
"Nev.",
|
738 |
+
"Nevada",
|
739 |
+
"New",
|
740 |
+
"New Hampshire",
|
741 |
+
"New Jersey",
|
742 |
+
"New Mexico",
|
743 |
+
"New York",
|
744 |
+
"Nhava",
|
745 |
+
"Nhavasheva",
|
746 |
+
"Ningbo",
|
747 |
+
"North Carolina",
|
748 |
+
"North Dakota",
|
749 |
+
"Not",
|
750 |
+
"Nothin",
|
751 |
+
"Nothin'",
|
752 |
+
"Nothin\u2019",
|
753 |
+
"Nov",
|
754 |
+
"Nov.",
|
755 |
+
"November",
|
756 |
+
"Novorossiysk",
|
757 |
+
"Now",
|
758 |
+
"Nsa",
|
759 |
+
"Nuthin",
|
760 |
+
"Nuthin'",
|
761 |
+
"Nuthin\u2019",
|
762 |
+
"O",
|
763 |
+
"O'clock",
|
764 |
+
"O.O",
|
765 |
+
"O.o",
|
766 |
+
"OMSOH",
|
767 |
+
"OOK",
|
768 |
+
"ORIGIN",
|
769 |
+
"O_O",
|
770 |
+
"O_o",
|
771 |
+
"Oct",
|
772 |
+
"Oct.",
|
773 |
+
"October",
|
774 |
+
"Okla",
|
775 |
+
"Okla.",
|
776 |
+
"Oklahoma",
|
777 |
+
"Ol",
|
778 |
+
"Ol'",
|
779 |
+
"Ol\u2019",
|
780 |
+
"Oman",
|
781 |
+
"One",
|
782 |
+
"Ore",
|
783 |
+
"Ore.",
|
784 |
+
"Oregon",
|
785 |
+
"Ought",
|
786 |
+
"Oversized",
|
787 |
+
"O\u2019clock",
|
788 |
+
"P",
|
789 |
+
"POL",
|
790 |
+
"PQR",
|
791 |
+
"Pa",
|
792 |
+
"Pa.",
|
793 |
+
"Paris",
|
794 |
+
"Pennsylvania",
|
795 |
+
"Ph",
|
796 |
+
"Ph.D.",
|
797 |
+
"Planning",
|
798 |
+
"Please",
|
799 |
+
"Pod",
|
800 |
+
"Pol",
|
801 |
+
"Port",
|
802 |
+
"Price",
|
803 |
+
"Prof",
|
804 |
+
"Prof.",
|
805 |
+
"Project",
|
806 |
+
"Puerto",
|
807 |
+
"R",
|
808 |
+
"ROOT",
|
809 |
+
"Rates",
|
810 |
+
"Rep",
|
811 |
+
"Rep.",
|
812 |
+
"Require",
|
813 |
+
"Required",
|
814 |
+
"Rev",
|
815 |
+
"Rev.",
|
816 |
+
"Rice",
|
817 |
+
"Rico",
|
818 |
+
"Rio",
|
819 |
+
"Rome",
|
820 |
+
"Rotterdam",
|
821 |
+
"S",
|
822 |
+
"S.C.",
|
823 |
+
"SAJED",
|
824 |
+
"SEARCH RATES",
|
825 |
+
"SGH",
|
826 |
+
"SHEVA",
|
827 |
+
"SHIP",
|
828 |
+
"SHIPMENT TYPE",
|
829 |
+
"SNZ",
|
830 |
+
"SOH",
|
831 |
+
"SULPHIDE",
|
832 |
+
"Sample",
|
833 |
+
"San",
|
834 |
+
"Sea",
|
835 |
+
"Search",
|
836 |
+
"See",
|
837 |
+
"Seeking",
|
838 |
+
"Sen",
|
839 |
+
"Sen.",
|
840 |
+
"Send",
|
841 |
+
"Seoul",
|
842 |
+
"Sep",
|
843 |
+
"Sep.",
|
844 |
+
"Sept",
|
845 |
+
"Sept.",
|
846 |
+
"September",
|
847 |
+
"Sha",
|
848 |
+
"Shanghai",
|
849 |
+
"She",
|
850 |
+
"She's",
|
851 |
+
"Sheva",
|
852 |
+
"She\u2019s",
|
853 |
+
"Shipment",
|
854 |
+
"Should",
|
855 |
+
"Singapore",
|
856 |
+
"Sokhna",
|
857 |
+
"Somethin",
|
858 |
+
"Somethin'",
|
859 |
+
"Somethin\u2019",
|
860 |
+
"South",
|
861 |
+
"South Carolina",
|
862 |
+
"Spain",
|
863 |
+
"Special",
|
864 |
+
"Specialized",
|
865 |
+
"Sri",
|
866 |
+
"St",
|
867 |
+
"St.",
|
868 |
+
"Supply",
|
869 |
+
"Sydney",
|
870 |
+
"T",
|
871 |
+
"TES",
|
872 |
+
"TKD",
|
873 |
+
"TMB",
|
874 |
+
"TO",
|
875 |
+
"TZDAR",
|
876 |
+
"Taiwan",
|
877 |
+
"Tanzania",
|
878 |
+
"Temperature",
|
879 |
+
"Tenn",
|
880 |
+
"Tenn.",
|
881 |
+
"Tennessee",
|
882 |
+
"That",
|
883 |
+
"That's",
|
884 |
+
"That\u2019s",
|
885 |
+
"There",
|
886 |
+
"There's",
|
887 |
+
"There\u2019s",
|
888 |
+
"These",
|
889 |
+
"They",
|
890 |
+
"This",
|
891 |
+
"This's",
|
892 |
+
"This\u2019s",
|
893 |
+
"Those",
|
894 |
+
"Tihi",
|
895 |
+
"To",
|
896 |
+
"Tokyo",
|
897 |
+
"Town",
|
898 |
+
"Track",
|
899 |
+
"Trade",
|
900 |
+
"Tuticorin",
|
901 |
+
"Tuticorine",
|
902 |
+
"Two",
|
903 |
+
"Type",
|
904 |
+
"Tyre",
|
905 |
+
"U",
|
906 |
+
"UAE",
|
907 |
+
"UNG",
|
908 |
+
"UNT",
|
909 |
+
"USA",
|
910 |
+
"USNYC",
|
911 |
+
"Ummqasr",
|
912 |
+
"Urgent",
|
913 |
+
"V",
|
914 |
+
"V.V",
|
915 |
+
"V_V",
|
916 |
+
"Va",
|
917 |
+
"Va.",
|
918 |
+
"Vancouver",
|
919 |
+
"Virginia",
|
920 |
+
"Vizag",
|
921 |
+
"Volume",
|
922 |
+
"W",
|
923 |
+
"WT",
|
924 |
+
"Warehouse",
|
925 |
+
"Warehousing",
|
926 |
+
"Was",
|
927 |
+
"Wash",
|
928 |
+
"Wash.",
|
929 |
+
"Washington",
|
930 |
+
"We",
|
931 |
+
"Were",
|
932 |
+
"What",
|
933 |
+
"What's",
|
934 |
+
"What\u2019s",
|
935 |
+
"When",
|
936 |
+
"When's",
|
937 |
+
"When\u2019s",
|
938 |
+
"Where",
|
939 |
+
"Where's",
|
940 |
+
"Where\u2019s",
|
941 |
+
"Who",
|
942 |
+
"Who's",
|
943 |
+
"Who\u2019s",
|
944 |
+
"Why",
|
945 |
+
"Why's",
|
946 |
+
"Why\u2019s",
|
947 |
+
"Wis",
|
948 |
+
"Wis.",
|
949 |
+
"Wisconsin",
|
950 |
+
"Wo",
|
951 |
+
"Would",
|
952 |
+
"X'x",
|
953 |
+
"X'xxxx",
|
954 |
+
"X++",
|
955 |
+
"X.",
|
956 |
+
"X.X",
|
957 |
+
"X.X.",
|
958 |
+
"X.x",
|
959 |
+
"X.x.",
|
960 |
+
"X20",
|
961 |
+
"XD",
|
962 |
+
"XDD",
|
963 |
+
"XX",
|
964 |
+
"XXX",
|
965 |
+
"XXXX",
|
966 |
+
"XXXX XXXX",
|
967 |
+
"XXXX XXXX-XXXX",
|
968 |
+
"XYZ",
|
969 |
+
"X_X",
|
970 |
+
"X_x",
|
971 |
+
"Xx",
|
972 |
+
"Xx'",
|
973 |
+
"Xx'x",
|
974 |
+
"Xx'xx",
|
975 |
+
"Xx.",
|
976 |
+
"Xx.X.",
|
977 |
+
"XxXX",
|
978 |
+
"Xxx",
|
979 |
+
"Xxx'x",
|
980 |
+
"Xxx.",
|
981 |
+
"Xxxx",
|
982 |
+
"Xxxx'",
|
983 |
+
"Xxxx'x",
|
984 |
+
"Xxxx.",
|
985 |
+
"Xxxxx",
|
986 |
+
"Xxxxx'",
|
987 |
+
"Xxxxx'x",
|
988 |
+
"Xxxxx-",
|
989 |
+
"Xxxxx.",
|
990 |
+
"Xxxxx\u2019",
|
991 |
+
"Xxxxx\u2019x",
|
992 |
+
"Xxxx\u2019",
|
993 |
+
"Xxxx\u2019x",
|
994 |
+
"Xxx\u2019x",
|
995 |
+
"Xx\u2019",
|
996 |
+
"Xx\u2019x",
|
997 |
+
"Xx\u2019xx",
|
998 |
+
"X\u2019x",
|
999 |
+
"X\u2019xxxx",
|
1000 |
+
"Y",
|
1001 |
+
"YPE",
|
1002 |
+
"Yemen",
|
1003 |
+
"York",
|
1004 |
+
"You",
|
1005 |
+
"Z",
|
1006 |
+
"ZINC",
|
1007 |
+
"Zealand",
|
1008 |
+
"Zurich",
|
1009 |
+
"[",
|
1010 |
+
"[-:",
|
1011 |
+
"[:",
|
1012 |
+
"[=",
|
1013 |
+
"\\",
|
1014 |
+
"\\\")",
|
1015 |
+
"\\n",
|
1016 |
+
"\\t",
|
1017 |
+
"\\x",
|
1018 |
+
"]",
|
1019 |
+
"]=",
|
1020 |
+
"^",
|
1021 |
+
"^_^",
|
1022 |
+
"^__^",
|
1023 |
+
"^___^",
|
1024 |
+
"_*)",
|
1025 |
+
"_-)",
|
1026 |
+
"_.)",
|
1027 |
+
"_<)",
|
1028 |
+
"_^)",
|
1029 |
+
"__-",
|
1030 |
+
"__^",
|
1031 |
+
"_\u00ac)",
|
1032 |
+
"_\u0ca0)",
|
1033 |
+
"a",
|
1034 |
+
"a.",
|
1035 |
+
"a.m",
|
1036 |
+
"a.m.",
|
1037 |
+
"abbas",
|
1038 |
+
"about",
|
1039 |
+
"accommodates",
|
1040 |
+
"ace",
|
1041 |
+
"ach",
|
1042 |
+
"ack",
|
1043 |
+
"ada",
|
1044 |
+
"ade",
|
1045 |
+
"aden",
|
1046 |
+
"adm",
|
1047 |
+
"adm.",
|
1048 |
+
"aejea",
|
1049 |
+
"africa",
|
1050 |
+
"age",
|
1051 |
+
"ago",
|
1052 |
+
"ai",
|
1053 |
+
"ain",
|
1054 |
+
"air",
|
1055 |
+
"aires",
|
1056 |
+
"ak",
|
1057 |
+
"ak.",
|
1058 |
+
"ala",
|
1059 |
+
"ala.",
|
1060 |
+
"ali",
|
1061 |
+
"all",
|
1062 |
+
"almaty",
|
1063 |
+
"als",
|
1064 |
+
"also",
|
1065 |
+
"am",
|
1066 |
+
"ami",
|
1067 |
+
"an.",
|
1068 |
+
"ana",
|
1069 |
+
"and",
|
1070 |
+
"and/or",
|
1071 |
+
"ang",
|
1072 |
+
"angeles",
|
1073 |
+
"ans",
|
1074 |
+
"ant",
|
1075 |
+
"any",
|
1076 |
+
"ape",
|
1077 |
+
"appropriate",
|
1078 |
+
"apr",
|
1079 |
+
"apr.",
|
1080 |
+
"ar.",
|
1081 |
+
"are",
|
1082 |
+
"ariz",
|
1083 |
+
"ariz.",
|
1084 |
+
"ark",
|
1085 |
+
"ark.",
|
1086 |
+
"arrange",
|
1087 |
+
"arranged",
|
1088 |
+
"arrangement",
|
1089 |
+
"arrangements",
|
1090 |
+
"arranging",
|
1091 |
+
"arries",
|
1092 |
+
"artwork",
|
1093 |
+
"artworks",
|
1094 |
+
"as",
|
1095 |
+
"asa",
|
1096 |
+
"ase",
|
1097 |
+
"ash",
|
1098 |
+
"asr",
|
1099 |
+
"ass",
|
1100 |
+
"assist",
|
1101 |
+
"assistance",
|
1102 |
+
"ast",
|
1103 |
+
"at",
|
1104 |
+
"ate",
|
1105 |
+
"att",
|
1106 |
+
"aty",
|
1107 |
+
"auckland",
|
1108 |
+
"aug",
|
1109 |
+
"aug.",
|
1110 |
+
"australia",
|
1111 |
+
"automotive",
|
1112 |
+
"ava",
|
1113 |
+
"ave",
|
1114 |
+
"ays",
|
1115 |
+
"b",
|
1116 |
+
"b.",
|
1117 |
+
"bad",
|
1118 |
+
"bai",
|
1119 |
+
"ban",
|
1120 |
+
"bandar",
|
1121 |
+
"bangladesh",
|
1122 |
+
"barcelona",
|
1123 |
+
"bas",
|
1124 |
+
"bba",
|
1125 |
+
"be",
|
1126 |
+
"because",
|
1127 |
+
"beijing",
|
1128 |
+
"bel",
|
1129 |
+
"belongings",
|
1130 |
+
"berlin",
|
1131 |
+
"bhuj",
|
1132 |
+
"ble",
|
1133 |
+
"book",
|
1134 |
+
"booking",
|
1135 |
+
"border",
|
1136 |
+
"both",
|
1137 |
+
"bout",
|
1138 |
+
"br.",
|
1139 |
+
"brazil",
|
1140 |
+
"bros",
|
1141 |
+
"bros.",
|
1142 |
+
"buenos",
|
1143 |
+
"bul",
|
1144 |
+
"buneos",
|
1145 |
+
"busan",
|
1146 |
+
"buy",
|
1147 |
+
"c",
|
1148 |
+
"c'm",
|
1149 |
+
"c++",
|
1150 |
+
"c.",
|
1151 |
+
"ca",
|
1152 |
+
"cacar",
|
1153 |
+
"cal",
|
1154 |
+
"calif",
|
1155 |
+
"calif.",
|
1156 |
+
"callao",
|
1157 |
+
"can",
|
1158 |
+
"canada",
|
1159 |
+
"cape",
|
1160 |
+
"car",
|
1161 |
+
"care",
|
1162 |
+
"cargo",
|
1163 |
+
"cause",
|
1164 |
+
"cbm",
|
1165 |
+
"ce>",
|
1166 |
+
"ces",
|
1167 |
+
"cfr",
|
1168 |
+
"ch.",
|
1169 |
+
"chain",
|
1170 |
+
"channai",
|
1171 |
+
"charges",
|
1172 |
+
"chat",
|
1173 |
+
"chemical",
|
1174 |
+
"chennai",
|
1175 |
+
"chicago",
|
1176 |
+
"china",
|
1177 |
+
"chittagong",
|
1178 |
+
"cif",
|
1179 |
+
"clearance",
|
1180 |
+
"cmb",
|
1181 |
+
"cnsgh",
|
1182 |
+
"cnsnz",
|
1183 |
+
"co",
|
1184 |
+
"co.",
|
1185 |
+
"cold",
|
1186 |
+
"colo",
|
1187 |
+
"colo.",
|
1188 |
+
"colombo",
|
1189 |
+
"come",
|
1190 |
+
"commerce",
|
1191 |
+
"commodities",
|
1192 |
+
"commodities-",
|
1193 |
+
"comodity",
|
1194 |
+
"complete",
|
1195 |
+
"complex",
|
1196 |
+
"compliance",
|
1197 |
+
"confirm",
|
1198 |
+
"conn",
|
1199 |
+
"conn.",
|
1200 |
+
"consignment",
|
1201 |
+
"consolidated",
|
1202 |
+
"container",
|
1203 |
+
"container count",
|
1204 |
+
"container size",
|
1205 |
+
"container size-count",
|
1206 |
+
"containers",
|
1207 |
+
"controlled",
|
1208 |
+
"coordination",
|
1209 |
+
"corp",
|
1210 |
+
"corp.",
|
1211 |
+
"cos",
|
1212 |
+
"cost",
|
1213 |
+
"could",
|
1214 |
+
"courier",
|
1215 |
+
"coverage",
|
1216 |
+
"coz",
|
1217 |
+
"cross",
|
1218 |
+
"ct.",
|
1219 |
+
"cts",
|
1220 |
+
"customs",
|
1221 |
+
"cuz",
|
1222 |
+
"c\u2019m",
|
1223 |
+
"d",
|
1224 |
+
"d)",
|
1225 |
+
"d-",
|
1226 |
+
"d-)",
|
1227 |
+
"d-X",
|
1228 |
+
"d.",
|
1229 |
+
"d.c.",
|
1230 |
+
"d.d",
|
1231 |
+
"d.x",
|
1232 |
+
"dX",
|
1233 |
+
"dXx",
|
1234 |
+
"d_d",
|
1235 |
+
"d_x",
|
1236 |
+
"dadri",
|
1237 |
+
"dam",
|
1238 |
+
"dar",
|
1239 |
+
"dare",
|
1240 |
+
"days",
|
1241 |
+
"dd",
|
1242 |
+
"dd'X",
|
1243 |
+
"dd'XX",
|
1244 |
+
"dd'XXX",
|
1245 |
+
"dd'x",
|
1246 |
+
"dd'xx",
|
1247 |
+
"dd'xxx",
|
1248 |
+
"dd/dd",
|
1249 |
+
"dd/ddXx",
|
1250 |
+
"dd/ddxx",
|
1251 |
+
"ddXX",
|
1252 |
+
"ddXdd",
|
1253 |
+
"ddXx",
|
1254 |
+
"ddd",
|
1255 |
+
"dddd",
|
1256 |
+
"ddp",
|
1257 |
+
"ddx.x",
|
1258 |
+
"ddx.x.",
|
1259 |
+
"ddxX",
|
1260 |
+
"ddxdd",
|
1261 |
+
"ddxx",
|
1262 |
+
"de",
|
1263 |
+
"dec",
|
1264 |
+
"dec.",
|
1265 |
+
"ded",
|
1266 |
+
"del",
|
1267 |
+
"del.",
|
1268 |
+
"delhi",
|
1269 |
+
"delivery",
|
1270 |
+
"den",
|
1271 |
+
"der",
|
1272 |
+
"destination",
|
1273 |
+
"destinations",
|
1274 |
+
"details",
|
1275 |
+
"dia",
|
1276 |
+
"did",
|
1277 |
+
"distribution",
|
1278 |
+
"dle",
|
1279 |
+
"dm.",
|
1280 |
+
"do",
|
1281 |
+
"document",
|
1282 |
+
"documentation",
|
1283 |
+
"does",
|
1284 |
+
"doin",
|
1285 |
+
"doin'",
|
1286 |
+
"doing",
|
1287 |
+
"doin\u2019",
|
1288 |
+
"don",
|
1289 |
+
"dr",
|
1290 |
+
"dr.",
|
1291 |
+
"dra",
|
1292 |
+
"dri",
|
1293 |
+
"dry",
|
1294 |
+
"dubai",
|
1295 |
+
"durban",
|
1296 |
+
"dx",
|
1297 |
+
"dx.x",
|
1298 |
+
"dx.x.",
|
1299 |
+
"dxdd",
|
1300 |
+
"dxdd\u2019XX",
|
1301 |
+
"dxdd\u2019xx",
|
1302 |
+
"dxx",
|
1303 |
+
"e",
|
1304 |
+
"e's",
|
1305 |
+
"e.",
|
1306 |
+
"e.g",
|
1307 |
+
"e.g.",
|
1308 |
+
"each",
|
1309 |
+
"eb.",
|
1310 |
+
"ebr",
|
1311 |
+
"ec.",
|
1312 |
+
"ect",
|
1313 |
+
"eds",
|
1314 |
+
"eed",
|
1315 |
+
"eet",
|
1316 |
+
"effects",
|
1317 |
+
"egypt",
|
1318 |
+
"el.",
|
1319 |
+
"eld",
|
1320 |
+
"elp",
|
1321 |
+
"em",
|
1322 |
+
"ems",
|
1323 |
+
"en",
|
1324 |
+
"en.",
|
1325 |
+
"end",
|
1326 |
+
"enn",
|
1327 |
+
"enough",
|
1328 |
+
"enquiries",
|
1329 |
+
"enquiry",
|
1330 |
+
"ent",
|
1331 |
+
"eos",
|
1332 |
+
"ep.",
|
1333 |
+
"ept",
|
1334 |
+
"equipment",
|
1335 |
+
"ere",
|
1336 |
+
"ers",
|
1337 |
+
"ery",
|
1338 |
+
"es-",
|
1339 |
+
"ese",
|
1340 |
+
"esh",
|
1341 |
+
"ess",
|
1342 |
+
"est",
|
1343 |
+
"ete",
|
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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1356 |
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1357 |
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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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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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1375 |
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1376 |
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1377 |
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1378 |
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1379 |
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1380 |
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1381 |
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1382 |
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1383 |
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1384 |
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1385 |
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1386 |
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1387 |
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1388 |
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1389 |
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1390 |
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1391 |
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1392 |
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1393 |
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1397 |
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1398 |
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1399 |
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1400 |
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1401 |
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1402 |
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1403 |
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1404 |
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1405 |
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1406 |
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1407 |
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1408 |
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1409 |
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1410 |
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1411 |
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1412 |
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1413 |
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1414 |
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1417 |
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1418 |
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1420 |
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1421 |
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1422 |
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1423 |
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1424 |
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1425 |
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1427 |
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1428 |
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1430 |
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1431 |
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1432 |
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1433 |
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1434 |
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1435 |
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1436 |
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1437 |
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1438 |
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1439 |
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1448 |
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1453 |
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1454 |
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1455 |
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1457 |
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1458 |
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1459 |
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1460 |
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1461 |
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1462 |
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1463 |
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1464 |
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1465 |
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1466 |
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1468 |
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1469 |
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1470 |
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1471 |
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1472 |
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1475 |
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1496 |
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1497 |
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1498 |
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1500 |
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1501 |
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1502 |
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1512 |
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1513 |
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1514 |
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1515 |
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1516 |
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1517 |
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1518 |
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1519 |
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1520 |
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1521 |
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1522 |
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1523 |
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1524 |
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1526 |
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1527 |
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1528 |
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1529 |
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1530 |
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1531 |
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1532 |
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1533 |
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1534 |
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1535 |
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1536 |
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1537 |
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1538 |
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1539 |
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1540 |
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1541 |
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1542 |
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1543 |
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1544 |
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1545 |
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1546 |
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1547 |
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1548 |
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1552 |
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1554 |
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1598 |
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1599 |
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1600 |
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1601 |
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1603 |
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1625 |
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1627 |
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1628 |
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1629 |
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1630 |
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1631 |
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1632 |
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1633 |
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1634 |
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1637 |
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1638 |
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1640 |
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1641 |
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1642 |
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1643 |
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1644 |
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1645 |
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1646 |
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1647 |
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1648 |
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1649 |
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1650 |
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1651 |
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1655 |
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1671 |
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1672 |
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1677 |
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1678 |
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1680 |
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|
1835 |
+
"rates",
|
1836 |
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"rce",
|
1837 |
+
"rch",
|
1838 |
+
"re",
|
1839 |
+
"re.",
|
1840 |
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"rea",
|
1841 |
+
"red",
|
1842 |
+
"ree",
|
1843 |
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"refer",
|
1844 |
+
"regulations",
|
1845 |
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"rep",
|
1846 |
+
"rep.",
|
1847 |
+
"request",
|
1848 |
+
"require",
|
1849 |
+
"required",
|
1850 |
+
"requirements",
|
1851 |
+
"res",
|
1852 |
+
"rev",
|
1853 |
+
"rev.",
|
1854 |
+
"reverse",
|
1855 |
+
"rge",
|
1856 |
+
"rgo",
|
1857 |
+
"rice",
|
1858 |
+
"rico",
|
1859 |
+
"rid",
|
1860 |
+
"rin",
|
1861 |
+
"rio",
|
1862 |
+
"ris",
|
1863 |
+
"riz",
|
1864 |
+
"rk.",
|
1865 |
+
"rks",
|
1866 |
+
"rms",
|
1867 |
+
"rne",
|
1868 |
+
"rof",
|
1869 |
+
"rom",
|
1870 |
+
"rome",
|
1871 |
+
"ros",
|
1872 |
+
"rotterdam",
|
1873 |
+
"rp.",
|
1874 |
+
"rs.",
|
1875 |
+
"rse",
|
1876 |
+
"rta",
|
1877 |
+
"rto",
|
1878 |
+
"rts",
|
1879 |
+
"s",
|
1880 |
+
"s's",
|
1881 |
+
"s.",
|
1882 |
+
"s.c.",
|
1883 |
+
"safety",
|
1884 |
+
"sajed",
|
1885 |
+
"sample",
|
1886 |
+
"san",
|
1887 |
+
"schedule",
|
1888 |
+
"sea",
|
1889 |
+
"search",
|
1890 |
+
"search rates",
|
1891 |
+
"see",
|
1892 |
+
"seeking",
|
1893 |
+
"sen",
|
1894 |
+
"sen.",
|
1895 |
+
"send",
|
1896 |
+
"seoul",
|
1897 |
+
"sep",
|
1898 |
+
"sep.",
|
1899 |
+
"sept",
|
1900 |
+
"sept.",
|
1901 |
+
"service",
|
1902 |
+
"services",
|
1903 |
+
"ses",
|
1904 |
+
"sgh",
|
1905 |
+
"sh.",
|
1906 |
+
"sha",
|
1907 |
+
"shall",
|
1908 |
+
"shanghai",
|
1909 |
+
"share",
|
1910 |
+
"she",
|
1911 |
+
"she's",
|
1912 |
+
"sheva",
|
1913 |
+
"she\u2019s",
|
1914 |
+
"ship",
|
1915 |
+
"shiping",
|
1916 |
+
"shipment",
|
1917 |
+
"shipment type",
|
1918 |
+
"shipments",
|
1919 |
+
"shipped",
|
1920 |
+
"shipping",
|
1921 |
+
"should",
|
1922 |
+
"show",
|
1923 |
+
"shu",
|
1924 |
+
"shuaibba",
|
1925 |
+
"sia",
|
1926 |
+
"sin",
|
1927 |
+
"singapore",
|
1928 |
+
"size",
|
1929 |
+
"small",
|
1930 |
+
"snz",
|
1931 |
+
"soh",
|
1932 |
+
"sokhna",
|
1933 |
+
"solution",
|
1934 |
+
"some",
|
1935 |
+
"somethin",
|
1936 |
+
"somethin'",
|
1937 |
+
"something",
|
1938 |
+
"somethin\u2019",
|
1939 |
+
"south",
|
1940 |
+
"space",
|
1941 |
+
"spain",
|
1942 |
+
"special",
|
1943 |
+
"specialized",
|
1944 |
+
"sri",
|
1945 |
+
"srs",
|
1946 |
+
"ss.",
|
1947 |
+
"st",
|
1948 |
+
"st.",
|
1949 |
+
"storage",
|
1950 |
+
"suitable",
|
1951 |
+
"sulphide",
|
1952 |
+
"suppliers",
|
1953 |
+
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|
1954 |
+
"support",
|
1955 |
+
"sydney",
|
1956 |
+
"s\u2019s",
|
1957 |
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"t",
|
1958 |
+
"t's",
|
1959 |
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"t.",
|
1960 |
+
"ta",
|
1961 |
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"taiwan",
|
1962 |
+
"tanzania",
|
1963 |
+
"td.",
|
1964 |
+
"ted",
|
1965 |
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"temperature",
|
1966 |
+
"tenn",
|
1967 |
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"tenn.",
|
1968 |
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|
1969 |
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"tes",
|
1970 |
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"testing",
|
1971 |
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|
1972 |
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|
1973 |
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|
1974 |
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|
1975 |
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|
1976 |
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|
1977 |
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|
1978 |
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|
1979 |
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|
1980 |
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|
1981 |
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|
1982 |
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|
1983 |
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|
1984 |
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|
1985 |
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|
1986 |
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|
1987 |
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|
1988 |
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|
1989 |
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"times",
|
1990 |
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"tkd",
|
1991 |
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|
1992 |
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|
1993 |
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|
1994 |
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|
1995 |
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|
1996 |
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|
1997 |
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|
1998 |
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|
1999 |
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|
2000 |
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"transported",
|
2001 |
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"trucking",
|
2002 |
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"truckload",
|
2003 |
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"tuticorin",
|
2004 |
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"tuticorine",
|
2005 |
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"two",
|
2006 |
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|
2007 |
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|
2008 |
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|
2009 |
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|
2010 |
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|
2011 |
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|
2012 |
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|
2013 |
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|
2014 |
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|
2015 |
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|
2016 |
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|
2017 |
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|
2018 |
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|
2019 |
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"uld",
|
2020 |
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|
2021 |
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|
2022 |
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|
2023 |
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|
2024 |
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|
2025 |
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|
2026 |
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|
2027 |
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|
2028 |
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|
2029 |
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|
2030 |
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|
2031 |
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|
2032 |
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|
2033 |
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|
2034 |
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|
2035 |
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|
2036 |
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|
2037 |
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2038 |
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2039 |
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|
2040 |
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|
2041 |
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|
2042 |
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2043 |
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|
2044 |
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|
2045 |
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2046 |
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2047 |
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2048 |
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2049 |
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2050 |
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2051 |
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2052 |
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2053 |
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2060 |
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2061 |
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2062 |
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2063 |
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2065 |
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2066 |
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2096 |
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2098 |
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2099 |
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2100 |
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2101 |
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2102 |
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2103 |
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2104 |
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2105 |
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2106 |
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2107 |
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2108 |
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2109 |
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2110 |
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2111 |
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2112 |
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2113 |
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2114 |
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2115 |
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2116 |
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2117 |
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2118 |
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2119 |
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2120 |
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2121 |
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2122 |
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2123 |
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2124 |
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2125 |
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2126 |
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|
2127 |
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|
2128 |
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2129 |
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2130 |
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|
2131 |
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|
2132 |
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|
2133 |
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|
2134 |
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|
2135 |
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2136 |
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|
2137 |
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|
2138 |
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|
2139 |
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|
2140 |
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|
2141 |
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|
2142 |
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|
2143 |
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|
2144 |
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|
2145 |
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|
2146 |
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|
2147 |
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2148 |
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|
2149 |
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|
2150 |
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2151 |
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|
2152 |
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|
2153 |
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|
2154 |
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|
2155 |
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|
2156 |
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"zurich",
|
2157 |
+
"|",
|
2158 |
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"}",
|
2159 |
+
"\u00a0",
|
2160 |
+
"\u00ac",
|
2161 |
+
"\u00ac_\u00ac",
|
2162 |
+
"\u00af",
|
2163 |
+
"\u00af\\(x)/\u00af",
|
2164 |
+
"\u00af\\(\u30c4)/\u00af",
|
2165 |
+
"\u00b0",
|
2166 |
+
"\u00b0C.",
|
2167 |
+
"\u00b0F.",
|
2168 |
+
"\u00b0K.",
|
2169 |
+
"\u00b0X.",
|
2170 |
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"\u00b0c.",
|
2171 |
+
"\u00b0f.",
|
2172 |
+
"\u00b0k.",
|
2173 |
+
"\u00b0x.",
|
2174 |
+
"\u00e4",
|
2175 |
+
"\u00e4.",
|
2176 |
+
"\u00f6",
|
2177 |
+
"\u00f6.",
|
2178 |
+
"\u00fc",
|
2179 |
+
"\u00fc.",
|
2180 |
+
"\u0ca0",
|
2181 |
+
"\u0ca0_\u0ca0",
|
2182 |
+
"\u0ca0\ufe35\u0ca0",
|
2183 |
+
"\u2013",
|
2184 |
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"\u2014",
|
2185 |
+
"\u2018",
|
2186 |
+
"\u2018S",
|
2187 |
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"\u2018X",
|
2188 |
+
"\u2018s",
|
2189 |
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"\u2018x",
|
2190 |
+
"\u2019",
|
2191 |
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"\u2019-(",
|
2192 |
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"\u2019-)",
|
2193 |
+
"\u2019Cause",
|
2194 |
+
"\u2019Cos",
|
2195 |
+
"\u2019Coz",
|
2196 |
+
"\u2019Cuz",
|
2197 |
+
"\u2019HQ",
|
2198 |
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"\u2019S",
|
2199 |
+
"\u2019X",
|
2200 |
+
"\u2019Xxx",
|
2201 |
+
"\u2019Xxxxx",
|
2202 |
+
"\u2019am",
|
2203 |
+
"\u2019bout",
|
2204 |
+
"\u2019cause",
|
2205 |
+
"\u2019cos",
|
2206 |
+
"\u2019coz",
|
2207 |
+
"\u2019cuz",
|
2208 |
+
"\u2019d",
|
2209 |
+
"\u2019em",
|
2210 |
+
"\u2019hq",
|
2211 |
+
"\u2019ll",
|
2212 |
+
"\u2019m",
|
2213 |
+
"\u2019nuff",
|
2214 |
+
"\u2019re",
|
2215 |
+
"\u2019s",
|
2216 |
+
"\u2019ve",
|
2217 |
+
"\u2019x",
|
2218 |
+
"\u2019xx",
|
2219 |
+
"\u2019xxx",
|
2220 |
+
"\u2019xxxx",
|
2221 |
+
"\u2019y",
|
2222 |
+
"\u2019\u2019",
|
2223 |
+
"\u201d",
|
2224 |
+
"\u2501",
|
2225 |
+
"\u253b",
|
2226 |
+
"\u253b\u2501\u253b",
|
2227 |
+
"\u256f",
|
2228 |
+
"\u25a1",
|
2229 |
+
"\ufe35",
|
2230 |
+
"\uff09"
|
2231 |
+
]
|
vocab/vectors
ADDED
Binary file (128 Bytes). View file
|
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|