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nitieii
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ref_no_ner_model

Token Classification
spaCy
English
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nitieii commited on
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1 Parent(s): cf7a6dc

Update spaCy pipeline

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Files changed (14) hide show
  1. .gitattributes +2 -0
  2. README.md +30 -0
  3. config.cfg +129 -0
  4. en_pipeline-any-py3-none-any.whl +3 -0
  5. meta.json +35 -0
  6. ner/cfg +13 -0
  7. ner/model +3 -0
  8. ner/moves +1 -0
  9. tokenizer +3 -0
  10. vocab/key2row +1 -0
  11. vocab/lookups.bin +3 -0
  12. vocab/strings.json +2519 -0
  13. vocab/vectors +0 -0
  14. vocab/vectors.cfg +3 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ en_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ ner/model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ ---
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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** | `>=3.5.4,<3.6.0` |
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+ | **Default Pipeline** | `ner` |
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+ | **Components** | `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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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (1 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `REF_NO` |
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+
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+ </details>
config.cfg ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["ner"]
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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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+ batch_size = 1000
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
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+
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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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+
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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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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.HashEmbedCNN.v2"
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+ pretrained_vectors = null
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+ width = 96
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+ depth = 4
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+ embed_size = 2000
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+ window_size = 1
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+ maxout_pieces = 3
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+ subword_features = true
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+
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+ [corpora]
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+
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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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+ gold_preproc = false
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+ max_length = 0
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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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+ gold_preproc = false
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+ max_length = 0
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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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+ 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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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ before_to_disk = null
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+ before_update = null
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ [pretraining]
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+
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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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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
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+ "requirements":[
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+ ]
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828
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829
+ "MLT-00388",
830
+ "MLT-00400",
831
+ "MLT-00410",
832
+ "MLT-00412",
833
+ "MLT-00457",
834
+ "MLT-00468",
835
+ "MLT-00496",
836
+ "MLT-00532",
837
+ "MLT-00612",
838
+ "MLT-00637",
839
+ "MLT-00748",
840
+ "MLT-00791",
841
+ "MLT-00806",
842
+ "MLT-00810",
843
+ "MLT-00867",
844
+ "MLT-00894",
845
+ "MLT-00911",
846
+ "MLT-00989",
847
+ "MLT-01274",
848
+ "MLT-01511023",
849
+ "MLT-01901",
850
+ "MLT-01917",
851
+ "MLT-02015",
852
+ "MLT-02273",
853
+ "MLT-03045",
854
+ "MLT-03064",
855
+ "MLT-03065",
856
+ "MLT-03068",
857
+ "MLT-04060",
858
+ "MLT-04061",
859
+ "MLT-04112",
860
+ "MLT-04119",
861
+ "MLT-04128",
862
+ "MLT-04132",
863
+ "MLT-04133",
864
+ "MTS-00016",
865
+ "MTS-00031",
866
+ "MTS-00037",
867
+ "MTS-00038",
868
+ "MTS-00041",
869
+ "MTS-00051",
870
+ "MTS-00056",
871
+ "MTS-00070",
872
+ "MTS-00076",
873
+ "MTS-00092",
874
+ "MTS-00093",
875
+ "MTS-00095",
876
+ "MTS-00106",
877
+ "MTS-00114",
878
+ "MTS-00115",
879
+ "MTS-00125",
880
+ "MTS-00133",
881
+ "MTS-00138",
882
+ "MTS-00139",
883
+ "MTS-00141",
884
+ "MTS-00142",
885
+ "MTS-00143",
886
+ "MTS-00162",
887
+ "MTS-00163",
888
+ "MTS-00176",
889
+ "MTS-00187",
890
+ "MTS-00189",
891
+ "MTS-00205",
892
+ "MTS-00207",
893
+ "MTS-00209",
894
+ "MTS-00212",
895
+ "MTS-00213",
896
+ "MTS-00220",
897
+ "MTS-00227",
898
+ "MTS-00231",
899
+ "MTS-00242",
900
+ "MTS-00254",
901
+ "MTS-00259",
902
+ "MTS-00264",
903
+ "MTS-00268",
904
+ "MTS-00279",
905
+ "MTS-00280",
906
+ "MTS-00281",
907
+ "MTS-00282",
908
+ "MTS-00284",
909
+ "MTS-00287",
910
+ "MTS-00290",
911
+ "MTS-00296",
912
+ "MTS-00306",
913
+ "MTS-00308",
914
+ "MTS-00311",
915
+ "MTS-00313",
916
+ "MTS-00316",
917
+ "MTS-00333",
918
+ "MTS-30079",
919
+ "MTS-30092",
920
+ "Ma'am",
921
+ "Manager",
922
+ "Manpower",
923
+ "Mar",
924
+ "Mar.",
925
+ "March",
926
+ "Mass",
927
+ "Mass.",
928
+ "Massachusetts",
929
+ "May",
930
+ "Ma\u2019am",
931
+ "Md",
932
+ "Md.",
933
+ "Messrs",
934
+ "Messrs.",
935
+ "Mich",
936
+ "Mich.",
937
+ "Michigan",
938
+ "Might",
939
+ "Minn",
940
+ "Minn.",
941
+ "Minnesota",
942
+ "Miss",
943
+ "Miss.",
944
+ "Mississippi",
945
+ "Mo",
946
+ "Mo.",
947
+ "MoAs",
948
+ "Mobifone",
949
+ "Mont",
950
+ "Mont.",
951
+ "Mount",
952
+ "Mr",
953
+ "Mr.",
954
+ "Mrs",
955
+ "Mrs.",
956
+ "Ms",
957
+ "Ms.",
958
+ "Mt",
959
+ "Mt.",
960
+ "Must",
961
+ "N",
962
+ "N.C.",
963
+ "N.D.",
964
+ "N.H.",
965
+ "N.J.",
966
+ "N.M.",
967
+ "N.Y.",
968
+ "N23",
969
+ "NAM",
970
+ "NDA",
971
+ "Neb",
972
+ "Neb.",
973
+ "Nebr",
974
+ "Nebr.",
975
+ "Nebraska",
976
+ "Need",
977
+ "Network",
978
+ "Nev",
979
+ "Nev.",
980
+ "Nevada",
981
+ "New Hampshire",
982
+ "New Jersey",
983
+ "New Mexico",
984
+ "New York",
985
+ "Nhat",
986
+ "No",
987
+ "No.26",
988
+ "North Carolina",
989
+ "North Dakota",
990
+ "Not",
991
+ "Nothin",
992
+ "Nothin'",
993
+ "Nothin\u2019",
994
+ "Notice",
995
+ "Nov",
996
+ "Nov.",
997
+ "November",
998
+ "Nuthin",
999
+ "Nuthin'",
1000
+ "Nuthin\u2019",
1001
+ "N\u1ecd",
1002
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1003
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1004
+ "O.O",
1005
+ "O.o",
1006
+ "ONE",
1007
+ "ONG",
1008
+ "ONO",
1009
+ "OST",
1010
+ "O_O",
1011
+ "O_o",
1012
+ "Oct",
1013
+ "Oct.",
1014
+ "October",
1015
+ "Okla",
1016
+ "Okla.",
1017
+ "Oklahoma",
1018
+ "Ol",
1019
+ "Ol'",
1020
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1021
+ "On",
1022
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1023
+ "Ore.",
1024
+ "Oregon",
1025
+ "Ought",
1026
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1027
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1028
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1029
+ "P03",
1030
+ "P06",
1031
+ "PIC",
1032
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1033
+ "PMG_DEC22_49_AN",
1034
+ "PMG_DEC22_50_AN",
1035
+ "PMG_DEC22_96_CHUNG",
1036
+ "PMG_FEB23_09_BAC",
1037
+ "PMG_FEB23_11_ADECCO",
1038
+ "PMG_FEB23_24_BRG",
1039
+ "PMG_FEB23_28_RICOH",
1040
+ "PMG_FEB23_32_EVN",
1041
+ "PMG_FEB23_43_INTERWAY",
1042
+ "PMG_FEB23_47_INTERWAY",
1043
+ "PMG_FEB23_48_INTERWAY",
1044
+ "PMG_FEB23_49_INTERWAY",
1045
+ "PMG_FEB23_54_THU",
1046
+ "PMG_FEB23_58_SAPRO",
1047
+ "PMG_FEB23_59_VIETTEL",
1048
+ "PMG_FEB23_71_EVN",
1049
+ "PMG_FEB23_78_EVN",
1050
+ "PMG_JAN23_08_THU",
1051
+ "PMG_JAN23_26_SHVN",
1052
+ "PMG_JAN23_48_EVN",
1053
+ "PMG_JAN23_51_LISOCON",
1054
+ "PMG_JAN23_52_LISOCON",
1055
+ "PMG_JAN23_62_EVN",
1056
+ "PMG_JAN23_64_EVN",
1057
+ "PMG_JAN23_65_PVI",
1058
+ "PMG_JAN23_67_MOBIFONE",
1059
+ "PMG_JAN23_70_HOANG",
1060
+ "PMG_JAN23_71_HOANG",
1061
+ "PMG_JAN23_75_EVN",
1062
+ "PMG_MAR23_02_ADECCO",
1063
+ "PMG_MAR23_05_AN",
1064
+ "PMG_MAR23_10_RICOH",
1065
+ "PMG_MAR23_13_BAC",
1066
+ "PMG_MAR23_24_SAO",
1067
+ "PMG_MAR23_25_SAO",
1068
+ "PMG_MAR23_27_INTERWAY",
1069
+ "PMG_MAR23_29_INTERWAY",
1070
+ "PMG_MAR23_35_INTERWAY",
1071
+ "PMG_MAR23_39_DTH",
1072
+ "PMG_MAR23_47_LISOCON",
1073
+ "PMG_MAR23_48_LISOCON",
1074
+ "PMG_MAR23_53_VIETTEL",
1075
+ "PMG_MAR23_59_EVN",
1076
+ "PMG_MAR23_61_BAC",
1077
+ "PMG_MAY22_16_PVI",
1078
+ "PMG_OCT22_43_BICO",
1079
+ "PMG_OCT22_44_PVI",
1080
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1081
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1082
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1083
+ "PSD",
1084
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1085
+ "PVI",
1086
+ "Pa",
1087
+ "Pa.",
1088
+ "Payment",
1089
+ "Pennsylvania",
1090
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1091
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1092
+ "Physical",
1093
+ "Platform",
1094
+ "Power",
1095
+ "Preparation",
1096
+ "Prof",
1097
+ "Prof.",
1098
+ "Progress",
1099
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1100
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1101
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1102
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1103
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1104
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1105
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1106
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1107
+ "RSK_CP06",
1108
+ "RSS",
1109
+ "Re",
1110
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1111
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1112
+ "Ref./S6",
1113
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1114
+ "Ref./S\u1ebb",
1115
+ "Ref./S\u1ed1",
1116
+ "Reference",
1117
+ "Relation",
1118
+ "Reminder",
1119
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1120
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1121
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1122
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1123
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1124
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1125
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1126
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1127
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1128
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1129
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1130
+ "SDT",
1131
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1132
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1133
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1134
+ "SIG_FEB3_04_Gianglinh",
1135
+ "SIG_MAR23_03_Vietnhat",
1136
+ "SIG_MAR23_04_STC",
1137
+ "SIG_MAR23_05_Gianglinh",
1138
+ "SIG_MAR23_06_Gianglinh",
1139
+ "SIG_MAR23_08_Viettam",
1140
+ "SIG_MAR23_12_Saovang",
1141
+ "SIG_MAR23_14_BRG",
1142
+ "SIG_MAR23_16_Bacsonghong",
1143
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1144
+ "SONO",
1145
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1146
+ "Sao",
1147
+ "Section",
1148
+ "Sen",
1149
+ "Sen.",
1150
+ "Sep",
1151
+ "Sep.",
1152
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1153
+ "Sept.",
1154
+ "September",
1155
+ "Sha",
1156
+ "She",
1157
+ "She's",
1158
+ "Sheets",
1159
+ "She\u2019s",
1160
+ "Shipment",
1161
+ "Should",
1162
+ "Signalling",
1163
+ "So",
1164
+ "Somethin",
1165
+ "Somethin'",
1166
+ "Somethin\u2019",
1167
+ "Song",
1168
+ "South Carolina",
1169
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1170
+ "St.",
1171
+ "Station",
1172
+ "Step",
1173
+ "Submission",
1174
+ "S\u1ed1",
1175
+ "T",
1176
+ "TDT",
1177
+ "TEL",
1178
+ "THA",
1179
+ "THANH",
1180
+ "THA_CP06",
1181
+ "THA_Claim",
1182
+ "THU",
1183
+ "TRE",
1184
+ "TRSS",
1185
+ "TU",
1186
+ "Temporary",
1187
+ "Tenn",
1188
+ "Tenn.",
1189
+ "Tennessee",
1190
+ "That",
1191
+ "That's",
1192
+ "That\u2019s",
1193
+ "The",
1194
+ "There",
1195
+ "There's",
1196
+ "There\u2019s",
1197
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1198
+ "They",
1199
+ "This",
1200
+ "This's",
1201
+ "This\u2019s",
1202
+ "Those",
1203
+ "To\u031b\u0300",
1204
+ "Transmittal",
1205
+ "Trays",
1206
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1207
+ "UJV",
1208
+ "UJV_CP06",
1209
+ "UJV_Request",
1210
+ "UJV_Temporary",
1211
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1212
+ "UNG",
1213
+ "Unforeseeable",
1214
+ "Updated",
1215
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1216
+ "V.V",
1217
+ "VANG",
1218
+ "VN-0005",
1219
+ "VR",
1220
+ "V_V",
1221
+ "Va",
1222
+ "Va.",
1223
+ "Vang",
1224
+ "Variation",
1225
+ "Viet",
1226
+ "Virginia",
1227
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1228
+ "W",
1229
+ "WAY",
1230
+ "WGO",
1231
+ "WTO",
1232
+ "Was",
1233
+ "Wash",
1234
+ "Wash.",
1235
+ "Washington",
1236
+ "Water",
1237
+ "We",
1238
+ "Were",
1239
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1240
+ "What's",
1241
+ "What\u2019s",
1242
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1243
+ "When's",
1244
+ "When\u2019s",
1245
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1246
+ "Where's",
1247
+ "Where\u2019s",
1248
+ "Who",
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+ "Who's",
1250
+ "Who\u2019s",
1251
+ "Why",
1252
+ "Why's",
1253
+ "Why\u2019s",
1254
+ "Wis",
1255
+ "Wis.",
1256
+ "Wisconsin",
1257
+ "Wo",
1258
+ "Would",
1259
+ "X&X",
1260
+ "X'x",
1261
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1262
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1263
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1264
+ "X.",
1265
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1266
+ "X.X.",
1267
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1268
+ "X.x.",
1269
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1270
+ "XDD",
1271
+ "XX",
1272
+ "XX-dddd",
1273
+ "XXX",
1274
+ "XXX-dddd",
1275
+ "XXXX",
1276
+ "XXXX-dddd",
1277
+ "XXX_XXXd_dd_Xxxxx",
1278
+ "XXX_XXXdd_dd_XX",
1279
+ "XXX_XXXdd_dd_XXX",
1280
+ "XXX_XXXdd_dd_XXXX",
1281
+ "XXX_XXXdd_dd_Xxxxx",
1282
+ "XXX_XXdd",
1283
+ "XXX_Xxxxx",
1284
+ "XXXd",
1285
+ "XXXdd",
1286
+ "XXdd",
1287
+ "XXxx",
1288
+ "X_X",
1289
+ "X_x",
1290
+ "Xd",
1291
+ "Xdd",
1292
+ "Xx",
1293
+ "Xx'",
1294
+ "Xx'x",
1295
+ "Xx'xx",
1296
+ "Xx.",
1297
+ "Xx.X.",
1298
+ "Xx.dd",
1299
+ "XxX",
1300
+ "XxXx",
1301
+ "Xxx",
1302
+ "Xxx'x",
1303
+ "Xxx.",
1304
+ "Xxx./Xd",
1305
+ "Xxx./Xx",
1306
+ "Xxxx",
1307
+ "Xxxx'",
1308
+ "Xxxx'x",
1309
+ "Xxxx.",
1310
+ "Xxxxx",
1311
+ "Xxxxx'",
1312
+ "Xxxxx'x",
1313
+ "Xxxxx-",
1314
+ "Xxxxx.",
1315
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1316
+ "Xxxxx\u2019x",
1317
+ "Xxxx\u2019",
1318
+ "Xxxx\u2019x",
1319
+ "Xxx\u0309",
1320
+ "Xxx\u2019x",
1321
+ "Xx\u0301x",
1322
+ "Xx\u0302\u0300",
1323
+ "Xx\u031b\u0300",
1324
+ "Xx\u2019",
1325
+ "Xx\u2019x",
1326
+ "Xx\u2019xx",
1327
+ "X\u2019x",
1328
+ "X\u2019xxxx",
1329
+ "Y",
1330
+ "You",
1331
+ "Yu",
1332
+ "[",
1333
+ "[-:",
1334
+ "[:",
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+ "[=",
1336
+ "\\",
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+ "\\\")",
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+ "\\n",
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+ "\\t",
1340
+ "\\x",
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+ "]",
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1343
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1344
+ "^_^",
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+ "^__^",
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+ "^___^",
1347
+ "_*)",
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+ "_-)",
1349
+ "_.)",
1350
+ "_<)",
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+ "_AN",
1352
+ "_^)",
1353
+ "__-",
1354
+ "__^",
1355
+ "_\u00ac)",
1356
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1358
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1360
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1363
+ "ace",
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1367
+ "additional",
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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
+ "air",
1375
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1376
+ "ak.",
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+ "ala",
1380
+ "ala.",
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1384
+ "an.",
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1386
+ "and/or",
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+ "ang",
1388
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+ "approval",
1390
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1391
+ "apr.",
1392
+ "april",
1393
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+ "apw_cp06",
1395
+ "apw_notice",
1396
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1397
+ "are",
1398
+ "area",
1399
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1400
+ "ariz.",
1401
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1402
+ "ark.",
1403
+ "arrival",
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1406
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1407
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1409
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1410
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1414
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+ "a\u0309nh",
1416
+ "a\u0323o",
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1418
+ "b.",
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+ "bac",
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+ "because",
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1426
+ "br.",
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1428
+ "broken",
1429
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1430
+ "bros.",
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1432
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1433
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1434
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1435
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1437
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+ "calif.",
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1442
+ "capital",
1443
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+ "cause",
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1446
+ "ce>",
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+ "ch.",
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+ "chi",
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+ "chinh",
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+ "chi\u0309",
1451
+ "cho",
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+ "ch\u00fang",
1453
+ "claim",
1454
+ "clarification",
1455
+ "clause",
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+ "co",
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+ "co.",
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+ "coh",
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+ "collapsed",
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+ "colo",
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+ "colo.",
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+ "come",
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+ "comm",
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+ "compensation",
1465
+ "conditioning",
1466
+ "conditions",
1467
+ "conduits",
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+ "confidential",
1469
+ "cong",
1470
+ "conn",
1471
+ "conn.",
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+ "connection",
1473
+ "contract",
1474
+ "contractor",
1475
+ "corp",
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+ "corp.",
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+ "cos",
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+ "could",
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+ "coz",
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+ "cp02",
1481
+ "cp03",
1482
+ "cp06",
1483
+ "csl",
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+ "csr",
1485
+ "ct.",
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+ "cut",
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1490
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1491
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1492
+ "d",
1493
+ "d)",
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+ "d-",
1495
+ "d-)",
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+ "d-X",
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2180
+ "she",
2181
+ "she's",
2182
+ "sheets",
2183
+ "she\u2019s",
2184
+ "shipment",
2185
+ "should",
2186
+ "sig",
2187
+ "sig_cp06",
2188
+ "sig_feb3_02_gianglinh",
2189
+ "sig_feb3_04_gianglinh",
2190
+ "sig_mar23_03_vietnhat",
2191
+ "sig_mar23_04_stc",
2192
+ "sig_mar23_05_gianglinh",
2193
+ "sig_mar23_06_gianglinh",
2194
+ "sig_mar23_08_viettam",
2195
+ "sig_mar23_12_saovang",
2196
+ "sig_mar23_14_brg",
2197
+ "sig_mar23_16_bacsonghong",
2198
+ "signalling",
2199
+ "signature",
2200
+ "situation",
2201
+ "snag",
2202
+ "so",
2203
+ "somethin",
2204
+ "somethin'",
2205
+ "something",
2206
+ "somethin\u2019",
2207
+ "song",
2208
+ "sono",
2209
+ "so\u0302\u0301",
2210
+ "space",
2211
+ "srs",
2212
+ "ss.",
2213
+ "st",
2214
+ "st.",
2215
+ "station",
2216
+ "stc",
2217
+ "step",
2218
+ "su",
2219
+ "sub",
2220
+ "submission",
2221
+ "sung",
2222
+ "su\u031b\u0309",
2223
+ "system",
2224
+ "s\u1ed1",
2225
+ "s\u1edbm",
2226
+ "s\u2019s",
2227
+ "t",
2228
+ "t's",
2229
+ "t.",
2230
+ "ta",
2231
+ "tai",
2232
+ "tal",
2233
+ "tam",
2234
+ "td.",
2235
+ "ted",
2236
+ "tem",
2237
+ "temporary",
2238
+ "tenn",
2239
+ "tenn.",
2240
+ "tep",
2241
+ "ter",
2242
+ "tes",
2243
+ "tha",
2244
+ "tha_claim",
2245
+ "tha_cp06",
2246
+ "thanh",
2247
+ "that",
2248
+ "that's",
2249
+ "that\u2019s",
2250
+ "thau",
2251
+ "thay",
2252
+ "the",
2253
+ "them",
2254
+ "there",
2255
+ "there's",
2256
+ "there\u2019s",
2257
+ "these",
2258
+ "they",
2259
+ "this",
2260
+ "this's",
2261
+ "this\u2019s",
2262
+ "those",
2263
+ "tien",
2264
+ "to",
2265
+ "tor",
2266
+ "to\u031b\u0300",
2267
+ "training",
2268
+ "transmittal",
2269
+ "trays",
2270
+ "tre",
2271
+ "tri\u0300nh",
2272
+ "trss",
2273
+ "tu",
2274
+ "t\u00f4i",
2275
+ "t\u2019s",
2276
+ "u",
2277
+ "u.",
2278
+ "uan",
2279
+ "uff",
2280
+ "ug.",
2281
+ "ujv",
2282
+ "ujv_cp06",
2283
+ "ujv_request",
2284
+ "ujv_temporary",
2285
+ "ul.",
2286
+ "uld",
2287
+ "ule",
2288
+ "uly",
2289
+ "un.",
2290
+ "under",
2291
+ "unforeseeable",
2292
+ "ung",
2293
+ "updated",
2294
+ "ure",
2295
+ "us",
2296
+ "use",
2297
+ "ust",
2298
+ "u\u031b\u0309",
2299
+ "u\u0323c",
2300
+ "v",
2301
+ "v.",
2302
+ "v.s",
2303
+ "v.s.",
2304
+ "v.v",
2305
+ "v_v",
2306
+ "va",
2307
+ "va.",
2308
+ "val",
2309
+ "van",
2310
+ "vang",
2311
+ "variation",
2312
+ "ve",
2313
+ "ved",
2314
+ "vi",
2315
+ "viec",
2316
+ "viet",
2317
+ "vin",
2318
+ "vn-0005",
2319
+ "vr",
2320
+ "vs",
2321
+ "vs.",
2322
+ "v\u00e0",
2323
+ "v\u0103n",
2324
+ "w",
2325
+ "w's",
2326
+ "w.",
2327
+ "w/o",
2328
+ "was",
2329
+ "wash",
2330
+ "wash.",
2331
+ "water",
2332
+ "we",
2333
+ "wer",
2334
+ "were",
2335
+ "wgo",
2336
+ "what",
2337
+ "what's",
2338
+ "what\u2019s",
2339
+ "when",
2340
+ "when's",
2341
+ "when\u2019s",
2342
+ "where",
2343
+ "where's",
2344
+ "where\u2019s",
2345
+ "who",
2346
+ "who's",
2347
+ "who\u2019s",
2348
+ "why",
2349
+ "why's",
2350
+ "why\u2019s",
2351
+ "will",
2352
+ "wis",
2353
+ "wis.",
2354
+ "with",
2355
+ "without",
2356
+ "wo",
2357
+ "works",
2358
+ "would",
2359
+ "wto",
2360
+ "w\u2019s",
2361
+ "x",
2362
+ "x'",
2363
+ "x'x",
2364
+ "x'xxxx",
2365
+ "x.",
2366
+ "x.X",
2367
+ "x.d",
2368
+ "x.x",
2369
+ "x.x.",
2370
+ "x/x",
2371
+ "xD",
2372
+ "xDD",
2373
+ "xX",
2374
+ "xXX",
2375
+ "x_X",
2376
+ "x_d",
2377
+ "x_x",
2378
+ "xd",
2379
+ "xdd",
2380
+ "xua\u0302\u0301t",
2381
+ "xx",
2382
+ "xx'",
2383
+ "xx'x",
2384
+ "xx'xx",
2385
+ "xx.",
2386
+ "xxx",
2387
+ "xxx'x",
2388
+ "xxx/xx",
2389
+ "xxxx",
2390
+ "xxxx'",
2391
+ "xxxx'x",
2392
+ "xxxx\u2019",
2393
+ "xxxx\u2019x",
2394
+ "xxx\u0300xx",
2395
+ "xxx\u0301",
2396
+ "xxx\u0302\u0301x",
2397
+ "xxx\u0323",
2398
+ "xxx\u2019x",
2399
+ "xx\u0301x",
2400
+ "xx\u0302\u0300xx",
2401
+ "xx\u0302\u0301",
2402
+ "xx\u0302\u0309",
2403
+ "xx\u0302\u0309x",
2404
+ "xx\u031bx\u031b\u0309xx",
2405
+ "xx\u031b\u0309",
2406
+ "xx\u031b\u0323x",
2407
+ "xx\u0323x",
2408
+ "xx\u2019",
2409
+ "xx\u2019x",
2410
+ "xx\u2019xx",
2411
+ "x\u0309xx",
2412
+ "x\u2019",
2413
+ "x\u2019x",
2414
+ "x\u2019xxxx",
2415
+ "x\ufe35x",
2416
+ "y",
2417
+ "y'",
2418
+ "y's",
2419
+ "y.",
2420
+ "yed",
2421
+ "yer",
2422
+ "you",
2423
+ "yu",
2424
+ "y\u2019",
2425
+ "y\u2019s",
2426
+ "z",
2427
+ "z.",
2428
+ "|",
2429
+ "}",
2430
+ "\u00a0",
2431
+ "\u00ac",
2432
+ "\u00ac_\u00ac",
2433
+ "\u00af",
2434
+ "\u00af\\(x)/\u00af",
2435
+ "\u00af\\(\u30c4)/\u00af",
2436
+ "\u00b0",
2437
+ "\u00b0C.",
2438
+ "\u00b0F.",
2439
+ "\u00b0K.",
2440
+ "\u00b0X.",
2441
+ "\u00b0c.",
2442
+ "\u00b0f.",
2443
+ "\u00b0k.",
2444
+ "\u00b0x.",
2445
+ "\u00e4",
2446
+ "\u00e4.",
2447
+ "\u00f4ng",
2448
+ "\u00f6",
2449
+ "\u00f6.",
2450
+ "\u00fang",
2451
+ "\u00fc",
2452
+ "\u00fc.",
2453
+ "\u00fd",
2454
+ "\u0110",
2455
+ "\u0110e\u0302\u0300",
2456
+ "\u0111",
2457
+ "\u0111a\u0323o",
2458
+ "\u0111e\u0302\u0300",
2459
+ "\u0111o\u0302\u0300ng",
2460
+ "\u0111o\u0302\u0309i",
2461
+ "\u0111\u01b0\u1ee3c",
2462
+ "\u0111\u1ebfn",
2463
+ "\u01b0\u1ee3c",
2464
+ "\u0300ng",
2465
+ "\u0300nh",
2466
+ "\u0302\u0301t",
2467
+ "\u0302\u0309i",
2468
+ "\u0309ng",
2469
+ "\u0309nh",
2470
+ "\u031b\u0323p",
2471
+ "\u0ca0",
2472
+ "\u0ca0_\u0ca0",
2473
+ "\u0ca0\ufe35\u0ca0",
2474
+ "\u2013",
2475
+ "\u2014",
2476
+ "\u2018",
2477
+ "\u2018S",
2478
+ "\u2018X",
2479
+ "\u2018s",
2480
+ "\u2018x",
2481
+ "\u2019",
2482
+ "\u2019-(",
2483
+ "\u2019-)",
2484
+ "\u2019Cause",
2485
+ "\u2019Cos",
2486
+ "\u2019Coz",
2487
+ "\u2019Cuz",
2488
+ "\u2019S",
2489
+ "\u2019X",
2490
+ "\u2019Xxx",
2491
+ "\u2019Xxxxx",
2492
+ "\u2019am",
2493
+ "\u2019bout",
2494
+ "\u2019cause",
2495
+ "\u2019cos",
2496
+ "\u2019coz",
2497
+ "\u2019cuz",
2498
+ "\u2019d",
2499
+ "\u2019em",
2500
+ "\u2019ll",
2501
+ "\u2019m",
2502
+ "\u2019nuff",
2503
+ "\u2019re",
2504
+ "\u2019s",
2505
+ "\u2019ve",
2506
+ "\u2019x",
2507
+ "\u2019xx",
2508
+ "\u2019xxx",
2509
+ "\u2019xxxx",
2510
+ "\u2019y",
2511
+ "\u2019\u2019",
2512
+ "\u2501",
2513
+ "\u253b",
2514
+ "\u253b\u2501\u253b",
2515
+ "\u256f",
2516
+ "\u25a1",
2517
+ "\ufe35",
2518
+ "\uff09"
2519
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ {
2
+ "mode":"default"
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+ }