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akshayaithalexp
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en_pipeline

Token Classification
spaCy
English
Eval Results
Model card Files Community
akshayaithalexp commited on
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1 Parent(s): 9052516

Update spaCy pipeline

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Files changed (16) hide show
  1. .gitattributes +2 -0
  2. README.md +56 -0
  3. config.cfg +144 -0
  4. en_pipeline-any-py3-none-any.whl +3 -0
  5. meta.json +66 -0
  6. ner/cfg +13 -0
  7. ner/model +0 -0
  8. ner/moves +1 -0
  9. tok2vec/cfg +3 -0
  10. tok2vec/model +3 -0
  11. tokenizer +3 -0
  12. vocab/key2row +1 -0
  13. vocab/lookups.bin +3 -0
  14. vocab/strings.json +2288 -0
  15. vocab/vectors +0 -0
  16. 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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+ tok2vec/model filter=lfs diff=lfs merge=lfs -text
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: 0.9831760361
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9831760361
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9831760361
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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** | `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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+
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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 (3 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `CITY`, `PERSON`, `VERTICAL` |
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+
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+ </details>
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+
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+ ### Accuracy
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+
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+ | Type | Score |
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+ | --- | --- |
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+ | `ENTS_F` | 98.32 |
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+ | `ENTS_P` | 98.32 |
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+ | `ENTS_R` | 98.32 |
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+ | `TOK2VEC_LOSS` | 44425.15 |
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+ | `NER_LOSS` | 19354.73 |
config.cfg ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./train.spacy"
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+ dev = "./test.spacy"
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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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+ gpu_allocator = null
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+ seed = 0
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["tok2vec","ner"]
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+ batch_size = 10
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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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+
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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.Tok2VecListener.v1"
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+ width = ${components.tok2vec.model.encode.width}
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+ upstream = "*"
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+
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+ [components.tok2vec]
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+ factory = "tok2vec"
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+
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+ [components.tok2vec.model]
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+ @architectures = "spacy.Tok2Vec.v2"
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+
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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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+
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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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+
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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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+ 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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+
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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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+ ]
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+ }
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1633
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1634
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1635
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1636
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1637
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1638
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1639
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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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1652
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1653
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1654
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1655
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1656
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1657
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1658
+ "oit",
1659
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1660
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1661
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1662
+ "oklahoma",
1663
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1664
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1665
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1666
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1667
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1668
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1669
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1670
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1671
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1672
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1673
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1674
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1675
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1676
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1677
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1678
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1679
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1680
+ "online",
1681
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1682
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1683
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1684
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1685
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1686
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1687
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1688
+ "open",
1689
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1690
+ "ora",
1691
+ "ord",
1692
+ "ore",
1693
+ "ore.",
1694
+ "orion",
1695
+ "ork",
1696
+ "orlando",
1697
+ "orleans",
1698
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1699
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1700
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1701
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1702
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1703
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1704
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1705
+ "oti",
1706
+ "ott",
1707
+ "ought",
1708
+ "oup",
1709
+ "out",
1710
+ "ov.",
1711
+ "owen",
1712
+ "own",
1713
+ "o\u2019clock",
1714
+ "o\u2019s",
1715
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1716
+ "p.",
1717
+ "p.m",
1718
+ "p.m.",
1719
+ "pa",
1720
+ "pa.",
1721
+ "papers",
1722
+ "parents",
1723
+ "parker",
1724
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1725
+ "paso",
1726
+ "patel",
1727
+ "paul",
1728
+ "payroll",
1729
+ "pen",
1730
+ "pendleton",
1731
+ "per",
1732
+ "peregrina",
1733
+ "person",
1734
+ "personal",
1735
+ "pet",
1736
+ "peter",
1737
+ "peterson",
1738
+ "pez",
1739
+ "ph",
1740
+ "ph.d.",
1741
+ "philadelphia",
1742
+ "phoenix",
1743
+ "phone",
1744
+ "physician",
1745
+ "physicians",
1746
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1747
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1748
+ "planners",
1749
+ "planning",
1750
+ "plano",
1751
+ "plans",
1752
+ "pm",
1753
+ "policy",
1754
+ "policyholder",
1755
+ "pooja",
1756
+ "portfolio",
1757
+ "portland",
1758
+ "pr.",
1759
+ "preparer",
1760
+ "preparers",
1761
+ "prescott",
1762
+ "primary",
1763
+ "private",
1764
+ "priya",
1765
+ "proceedings",
1766
+ "prof",
1767
+ "prof.",
1768
+ "professional",
1769
+ "profile",
1770
+ "projects",
1771
+ "properties",
1772
+ "property",
1773
+ "prosecuting",
1774
+ "provider",
1775
+ "providers",
1776
+ "psychologist",
1777
+ "pt.",
1778
+ "pta",
1779
+ "public",
1780
+ "purposes",
1781
+ "pus",
1782
+ "put",
1783
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1784
+ "q.",
1785
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1786
+ "queens",
1787
+ "r",
1788
+ "r.",
1789
+ "rachel",
1790
+ "rah",
1791
+ "rahul",
1792
+ "raj",
1793
+ "rajat",
1794
+ "rajesh",
1795
+ "rajput",
1796
+ "ral",
1797
+ "raleigh",
1798
+ "ramirez",
1799
+ "ran",
1800
+ "rapids",
1801
+ "rate",
1802
+ "rated",
1803
+ "ratings",
1804
+ "ravenswood",
1805
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1806
+ "rch",
1807
+ "rds",
1808
+ "re",
1809
+ "re.",
1810
+ "rea",
1811
+ "real",
1812
+ "realestate",
1813
+ "realtor",
1814
+ "realtors",
1815
+ "recommend",
1816
+ "recommendations",
1817
+ "recommended",
1818
+ "records",
1819
+ "red",
1820
+ "reddy",
1821
+ "refinance",
1822
+ "reliable",
1823
+ "relocation",
1824
+ "ren",
1825
+ "reno",
1826
+ "rental",
1827
+ "rentals",
1828
+ "rep",
1829
+ "rep.",
1830
+ "repair",
1831
+ "reports",
1832
+ "required",
1833
+ "rer",
1834
+ "research",
1835
+ "residential",
1836
+ "retail",
1837
+ "retirement",
1838
+ "rev",
1839
+ "rev.",
1840
+ "reverse",
1841
+ "reviews",
1842
+ "rew",
1843
+ "rez",
1844
+ "rge",
1845
+ "rgh",
1846
+ "rhodes",
1847
+ "ria",
1848
+ "ric",
1849
+ "richmond",
1850
+ "rights",
1851
+ "ris",
1852
+ "riverside",
1853
+ "riz",
1854
+ "rk.",
1855
+ "rma",
1856
+ "rms",
1857
+ "rne",
1858
+ "robert",
1859
+ "roberts",
1860
+ "rock",
1861
+ "rof",
1862
+ "rohit",
1863
+ "rom",
1864
+ "ron",
1865
+ "room",
1866
+ "ros",
1867
+ "ross",
1868
+ "rouge",
1869
+ "rp.",
1870
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1871
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1872
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1873
+ "rst",
1874
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1875
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1876
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1877
+ "rya",
1878
+ "ryan",
1879
+ "rza",
1880
+ "s",
1881
+ "s's",
1882
+ "s.",
1883
+ "s.a",
1884
+ "s.c.",
1885
+ "sacramento",
1886
+ "sai",
1887
+ "saint",
1888
+ "sale",
1889
+ "salem",
1890
+ "salt",
1891
+ "sameer",
1892
+ "samuel",
1893
+ "san",
1894
+ "sania",
1895
+ "santa",
1896
+ "sarah",
1897
+ "sas",
1898
+ "saxena",
1899
+ "scar",
1900
+ "sco",
1901
+ "scott",
1902
+ "scottsdale",
1903
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1904
+ "search",
1905
+ "searching",
1906
+ "seattle",
1907
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1908
+ "sel",
1909
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1910
+ "sen.",
1911
+ "seniors",
1912
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1913
+ "sep.",
1914
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1915
+ "sept.",
1916
+ "seraphiel",
1917
+ "seraphina",
1918
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1919
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1920
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1921
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1922
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1923
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1924
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1925
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1926
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1927
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1928
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1929
+ "she",
1930
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1931
+ "she\u2019s",
1932
+ "shi",
1933
+ "short",
1934
+ "should",
1935
+ "shreveport",
1936
+ "sic",
1937
+ "siddharth",
1938
+ "singhania",
1939
+ "skilled",
1940
+ "small",
1941
+ "smith",
1942
+ "sno",
1943
+ "sofia",
1944
+ "solstice",
1945
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1946
+ "somethin",
1947
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1948
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1949
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1950
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1951
+ "sophia",
1952
+ "sor",
1953
+ "space",
1954
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1955
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1956
+ "spokane",
1957
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1958
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1959
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1960
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1961
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1962
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1963
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1964
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1965
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1966
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1967
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1968
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1969
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1970
+ "suggest",
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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1990
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1991
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1992
+ "tel",
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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2001
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2002
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2003
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2004
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2005
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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
+ "this\u2019s",
2012
+ "thomas",
2013
+ "thompson",
2014
+ "thorne",
2015
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2016
+ "time",
2017
+ "timings",
2018
+ "tin",
2019
+ "tire",
2020
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2021
+ "to",
2022
+ "toledo",
2023
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2024
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2025
+ "top",
2026
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2027
+ "townhomes",
2028
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2029
+ "tranlator",
2030
+ "translation",
2031
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2032
+ "translators",
2033
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2034
+ "travelers",
2035
+ "tremaine",
2036
+ "trust",
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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2054
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2055
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2056
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2057
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2058
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2059
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2060
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2061
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2062
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2063
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2064
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2065
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2066
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2067
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2068
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2069
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2070
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2071
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2072
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2073
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2074
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2075
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2076
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2077
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2078
+ "va.",
2079
+ "vacation",
2080
+ "vacations",
2081
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2082
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2083
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2084
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2085
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2086
+ "verma",
2087
+ "vertical",
2088
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2089
+ "veteran",
2090
+ "veterans",
2091
+ "veterinarian",
2092
+ "veterinarians",
2093
+ "veterinary",
2094
+ "via",
2095
+ "vid",
2096
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2097
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2098
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2099
+ "virtual",
2100
+ "vis",
2101
+ "vista",
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
+ "walker",
2109
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2110
+ "wash",
2111
+ "wash.",
2112
+ "washington",
2113
+ "waterfront",
2114
+ "we",
2115
+ "wealth",
2116
+ "weber",
2117
+ "website",
2118
+ "wen",
2119
+ "wer",
2120
+ "were",
2121
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2122
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2123
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2124
+ "when",
2125
+ "when's",
2126
+ "when\u2019s",
2127
+ "where",
2128
+ "where's",
2129
+ "where\u2019s",
2130
+ "white",
2131
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2132
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2133
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2134
+ "why",
2135
+ "why's",
2136
+ "why\u2019s",
2137
+ "wichita",
2138
+ "wife",
2139
+ "will",
2140
+ "william",
2141
+ "williams",
2142
+ "wilson",
2143
+ "winslow",
2144
+ "winston",
2145
+ "wis",
2146
+ "wis.",
2147
+ "without",
2148
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2149
+ "worth",
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
+ "x.",
2157
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2158
+ "x.d",
2159
+ "x.x",
2160
+ "x.x.",
2161
+ "x.x.x",
2162
+ "x/x",
2163
+ "xD",
2164
+ "xDD",
2165
+ "xX",
2166
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2167
+ "x_X",
2168
+ "x_d",
2169
+ "x_x",
2170
+ "xander",
2171
+ "xd",
2172
+ "xdd",
2173
+ "xed",
2174
+ "xx",
2175
+ "xx'",
2176
+ "xx'x",
2177
+ "xx'xx",
2178
+ "xx.",
2179
+ "xx.xxxx",
2180
+ "xxx",
2181
+ "xxx'x",
2182
+ "xxx/xx",
2183
+ "xxxx",
2184
+ "xxxx'",
2185
+ "xxxx'x",
2186
+ "xxxx\u2019",
2187
+ "xxxx\u2019x",
2188
+ "xxx\u2019x",
2189
+ "xx\u2019",
2190
+ "xx\u2019x",
2191
+ "xx\u2019xx",
2192
+ "x\u2019",
2193
+ "x\u2019x",
2194
+ "x\u2019xxxx",
2195
+ "x\ufe35x",
2196
+ "y",
2197
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2198
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2199
+ "y.",
2200
+ "yan",
2201
+ "yed",
2202
+ "yer",
2203
+ "yne",
2204
+ "yonkers",
2205
+ "york",
2206
+ "you",
2207
+ "yra",
2208
+ "yst",
2209
+ "y\u2019",
2210
+ "y\u2019s",
2211
+ "z",
2212
+ "z.",
2213
+ "zenobia",
2214
+ "zephyr",
2215
+ "zephyra",
2216
+ "zephyrine",
2217
+ "zoey",
2218
+ "|",
2219
+ "}",
2220
+ "\u00a0",
2221
+ "\u00ac",
2222
+ "\u00ac_\u00ac",
2223
+ "\u00af",
2224
+ "\u00af\\(x)/\u00af",
2225
+ "\u00af\\(\u30c4)/\u00af",
2226
+ "\u00b0",
2227
+ "\u00b0C.",
2228
+ "\u00b0F.",
2229
+ "\u00b0K.",
2230
+ "\u00b0X.",
2231
+ "\u00b0c.",
2232
+ "\u00b0f.",
2233
+ "\u00b0k.",
2234
+ "\u00b0x.",
2235
+ "\u00e4",
2236
+ "\u00e4.",
2237
+ "\u00f6",
2238
+ "\u00f6.",
2239
+ "\u00fc",
2240
+ "\u00fc.",
2241
+ "\u0ca0",
2242
+ "\u0ca0_\u0ca0",
2243
+ "\u0ca0\ufe35\u0ca0",
2244
+ "\u2014",
2245
+ "\u2018",
2246
+ "\u2018S",
2247
+ "\u2018X",
2248
+ "\u2018s",
2249
+ "\u2018x",
2250
+ "\u2019",
2251
+ "\u2019-(",
2252
+ "\u2019-)",
2253
+ "\u2019Cause",
2254
+ "\u2019Cos",
2255
+ "\u2019Coz",
2256
+ "\u2019Cuz",
2257
+ "\u2019S",
2258
+ "\u2019X",
2259
+ "\u2019Xxx",
2260
+ "\u2019Xxxxx",
2261
+ "\u2019am",
2262
+ "\u2019bout",
2263
+ "\u2019cause",
2264
+ "\u2019cos",
2265
+ "\u2019coz",
2266
+ "\u2019cuz",
2267
+ "\u2019d",
2268
+ "\u2019em",
2269
+ "\u2019ll",
2270
+ "\u2019m",
2271
+ "\u2019nuff",
2272
+ "\u2019re",
2273
+ "\u2019s",
2274
+ "\u2019ve",
2275
+ "\u2019x",
2276
+ "\u2019xx",
2277
+ "\u2019xxx",
2278
+ "\u2019xxxx",
2279
+ "\u2019y",
2280
+ "\u2019\u2019",
2281
+ "\u2501",
2282
+ "\u253b",
2283
+ "\u253b\u2501\u253b",
2284
+ "\u256f",
2285
+ "\u25a1",
2286
+ "\ufe35",
2287
+ "\uff09"
2288
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
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