phoenixaiden33 commited on
Commit
ccda333
1 Parent(s): 30ae2d8

Update spaCy pipeline

Browse files
.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
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: 0.9952305246
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+ - name: NER Recall
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+ type: recall
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+ value: 0.9984051037
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+ - name: NER F Score
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+ type: f_score
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+ value: 0.9968152866
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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** | `>=3.4.4,<3.5.0` |
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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 (9 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `AGENT`, `ASSET`, `ASSET STATE`, `DATE`, `DETERMINAND`, `FLOW LEVEL`, `MEASUREMENT`, `OPERATION`, `PROCCESS` |
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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` | 99.68 |
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+ | `ENTS_P` | 99.52 |
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+ | `ENTS_R` | 99.84 |
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+ | `TOK2VEC_LOSS` | 21054.32 |
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+ | `NER_LOSS` | 27455.52 |
config.cfg ADDED
@@ -0,0 +1,143 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = "./train.spacy"
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+ dev = "./train.spacy"
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+ vectors = null
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+ init_tok2vec = null
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+
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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 = 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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+
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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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+
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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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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",
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+ "description":"",
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+ "author":"",
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+ "email":"",
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+ "url":"",
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+ "license":"",
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+ "spacy_version":">=3.4.4,<3.5.0",
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+ "spacy_git_version":"77833bfef",
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+ "vectors":{
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+ "width":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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+ ],
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+ "ner":[
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+ "AGENT",
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+ "ASSET",
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+ "ASSET STATE",
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+ "DATE",
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+ "DETERMINAND",
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+ "FLOW LEVEL",
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+ "MEASUREMENT",
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+ "OPERATION",
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+ "PROCCESS"
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+ ]
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+ },
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+ "pipeline":[
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+ "tok2vec",
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+ "ner"
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+ ],
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+ "components":[
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+ "tok2vec",
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+ "ner"
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+ ],
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+ "disabled":[
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+ "performance":{
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+ "ents_per_type":{
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+ "FLOW LEVEL":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "DETERMINAND":{
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+ "p":1.0,
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "PROCCESS":{
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+ },
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+ "MEASUREMENT":{
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+ "r":1.0,
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+ },
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+ "ASSET":{
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+ "p":1.0,
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+ "r":1.0,
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+ },
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+ "ASSET STATE":{
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+ "p":0.9821428571,
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+ "OPERATION":{
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+ "f":0.9684210526
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+ },
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+ "AGENT":{
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+ "r":1.0,
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+ "f":1.0
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+ },
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+ "DATE":{
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+ "r":1.0,
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+ "f":1.0
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+ }
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+ },
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+ "tok2vec_loss":210.5432392354,
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+ "ner_loss":274.5552189321
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+ },
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+ "requirements":[
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+
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+ ]
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+ }
ner/cfg ADDED
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+ {
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+ "moves":null,
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+ "update_with_oracle_cut_size":100,
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+ "multitasks":[
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+
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+ ],
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+ "min_action_freq":1,
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+ "learn_tokens":false,
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+ "beam_width":1,
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+ "beam_density":0.0,
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+ "beam_update_prob":0.0,
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+ "incorrect_spans_key":null
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+ }
ner/model ADDED
Binary file (136 kB). View file
 
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tok2vec/cfg ADDED
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+ {
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+
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+ }
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+ size 6009091
tokenizer ADDED
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544
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545
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546
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547
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548
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549
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550
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551
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552
+ "Ind.",
553
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554
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555
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556
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557
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558
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559
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560
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561
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562
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563
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565
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566
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567
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568
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569
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570
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571
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572
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573
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574
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575
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576
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577
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578
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579
+ "K.",
580
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581
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582
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583
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584
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585
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586
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587
+ "Ky.",
588
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589
+ "L.",
590
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591
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592
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593
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594
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595
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596
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597
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598
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599
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600
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601
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602
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603
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604
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606
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607
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608
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609
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610
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611
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612
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613
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614
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615
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616
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617
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618
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619
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620
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621
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622
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623
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624
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625
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626
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627
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628
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629
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630
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631
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632
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633
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634
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635
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636
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637
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638
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639
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640
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641
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642
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644
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645
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646
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647
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648
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649
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650
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651
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653
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657
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658
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659
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660
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661
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662
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663
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664
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665
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667
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668
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669
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670
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671
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672
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674
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676
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677
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678
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679
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680
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681
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683
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685
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686
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687
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690
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692
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693
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695
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696
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697
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698
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699
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702
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703
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704
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705
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706
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707
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708
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709
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710
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711
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712
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714
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715
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716
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717
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718
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723
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726
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727
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728
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729
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730
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733
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735
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740
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744
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745
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746
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747
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750
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751
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752
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753
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754
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755
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756
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757
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760
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761
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762
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763
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785
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2115
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2116
+ "prism",
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
+ "rails",
2154
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2155
+ "rainfall",
2156
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2157
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2158
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2159
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2160
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2161
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2162
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2163
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2164
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2165
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2166
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2167
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2168
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2169
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2170
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2171
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2172
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2173
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2174
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2175
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2176
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2177
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2178
+ "recently",
2179
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2180
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2181
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2182
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2183
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2184
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2185
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2186
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2187
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2188
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2189
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2190
+ "reeds",
2191
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2192
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2193
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2194
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2195
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2196
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2197
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2198
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2199
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2200
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2201
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2202
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2203
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2204
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2205
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2206
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2207
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2208
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2209
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2210
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2211
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2212
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2213
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2214
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2215
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2216
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2217
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2218
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2219
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2220
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2221
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2222
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2223
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2224
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2225
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2226
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2227
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2228
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2229
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2230
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2231
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2232
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2233
+ "rev.",
2234
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2235
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2236
+ "rich",
2237
+ "right",
2238
+ "ris",
2239
+ "rise",
2240
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2241
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2242
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2243
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2244
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2245
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2246
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2247
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2248
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2249
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2250
+ "rol",
2251
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2252
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2253
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2254
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2255
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2256
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2257
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2258
+ "rotations",
2259
+ "routine",
2260
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2261
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2262
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2263
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2264
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2265
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2266
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2267
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2268
+ "rty",
2269
+ "run",
2270
+ "running",
2271
+ "runs",
2272
+ "rusty",
2273
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2274
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2275
+ "s.",
2276
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2277
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2278
+ "saff",
2279
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2280
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2281
+ "same",
2282
+ "sample",
2283
+ "sand",
2284
+ "sandfilter",
2285
+ "sandfilters",
2286
+ "sas",
2287
+ "say",
2288
+ "says",
2289
+ "scheme",
2290
+ "scientist",
2291
+ "scour",
2292
+ "scours",
2293
+ "scraper",
2294
+ "scum",
2295
+ "secondary",
2296
+ "secondly",
2297
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2298
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2299
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2300
+ "seen",
2301
+ "sen",
2302
+ "sen.",
2303
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2304
+ "seocndary",
2305
+ "sep",
2306
+ "sep.",
2307
+ "sept",
2308
+ "sept.",
2309
+ "septic",
2310
+ "series",
2311
+ "servitech",
2312
+ "ses",
2313
+ "set",
2314
+ "settled",
2315
+ "several",
2316
+ "sewage",
2317
+ "sewer",
2318
+ "sh.",
2319
+ "sha",
2320
+ "shall",
2321
+ "she",
2322
+ "she's",
2323
+ "she\u2019s",
2324
+ "shocked",
2325
+ "short",
2326
+ "shortly",
2327
+ "shot",
2328
+ "should",
2329
+ "showed",
2330
+ "shows",
2331
+ "shrimps",
2332
+ "sht",
2333
+ "sidestream",
2334
+ "signal",
2335
+ "silt",
2336
+ "siltbusters",
2337
+ "sim",
2338
+ "since",
2339
+ "sis",
2340
+ "site",
2341
+ "sites",
2342
+ "sits",
2343
+ "situ",
2344
+ "slight",
2345
+ "slightly",
2346
+ "slipping",
2347
+ "slo",
2348
+ "slowed",
2349
+ "slowly",
2350
+ "sludge",
2351
+ "small",
2352
+ "smallest",
2353
+ "smashed",
2354
+ "smelt",
2355
+ "snapping",
2356
+ "so",
2357
+ "solids",
2358
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2359
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2360
+ "somethin'",
2361
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2362
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2363
+ "sometime",
2364
+ "son",
2365
+ "soon",
2366
+ "sought",
2367
+ "source",
2368
+ "space",
2369
+ "species",
2370
+ "spike",
2371
+ "spiked",
2372
+ "spikes",
2373
+ "spiky",
2374
+ "spill",
2375
+ "spread",
2376
+ "srs",
2377
+ "ss.",
2378
+ "st",
2379
+ "st.",
2380
+ "stagnation",
2381
+ "standby",
2382
+ "start",
2383
+ "started",
2384
+ "starting",
2385
+ "starvation",
2386
+ "station",
2387
+ "stays",
2388
+ "still",
2389
+ "stock",
2390
+ "stong",
2391
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2392
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2393
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2394
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2395
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2396
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2397
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2398
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2399
+ "stuck",
2400
+ "sty",
2401
+ "subject",
2402
+ "submersible",
2403
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2404
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2405
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2406
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2407
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2408
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2409
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2410
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2411
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2412
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2413
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2414
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2415
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2416
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2417
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2418
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2419
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2420
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2421
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2422
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2423
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2424
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2425
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2426
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2427
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2428
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2429
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2430
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2431
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2432
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2433
+ "task",
2434
+ "tch",
2435
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2436
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2437
+ "team",
2438
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2439
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2440
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2441
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2442
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2443
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2444
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2445
+ "tends",
2446
+ "tenn",
2447
+ "tenn.",
2448
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2449
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2450
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2451
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2452
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2453
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2454
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2455
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2456
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2457
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2458
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2459
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2460
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2461
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2462
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2463
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2464
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2465
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2466
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2467
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2468
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2469
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2470
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2471
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2472
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2473
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2474
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2475
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2476
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2477
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2478
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2479
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2480
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2481
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2482
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2483
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2484
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2485
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2486
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2487
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2488
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2489
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2490
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2491
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2492
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2493
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2494
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2495
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2496
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2497
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2498
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2499
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2500
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2501
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2502
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2503
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2504
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2505
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2506
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2507
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2508
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2509
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2510
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2511
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2512
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2515
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2516
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2517
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2518
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2519
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2520
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2521
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2522
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2523
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2524
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2525
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2526
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2527
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2528
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2529
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2530
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2531
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2532
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2533
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2534
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2535
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2536
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2540
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2542
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2544
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2545
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2546
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2548
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2549
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2550
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2551
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2552
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2553
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2554
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2555
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2556
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2557
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2558
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2559
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2560
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2561
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2562
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2563
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2564
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2565
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2566
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2567
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2568
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2569
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2570
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2571
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2572
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2573
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2574
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2575
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2576
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2577
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2578
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2579
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2580
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2581
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2582
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2583
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2584
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2585
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2586
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2587
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2588
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2589
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2590
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2591
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2592
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2593
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2594
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2595
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2596
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2597
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2598
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2599
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2600
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2601
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2602
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2603
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2604
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2605
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2606
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2607
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2608
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2609
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2610
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2611
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2612
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2613
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2614
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2615
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2616
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2617
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2618
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2619
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2620
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2621
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2622
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2623
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2624
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2625
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2626
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2627
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2628
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2629
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2630
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2631
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2632
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2633
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2634
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2635
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2636
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2637
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2638
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2639
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2640
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2641
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2642
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2643
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2644
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2645
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2646
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2647
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2648
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2649
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2650
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2651
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2652
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2653
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2654
+ "x.X",
2655
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2656
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2657
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2658
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2659
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2660
+ "xDD",
2661
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2662
+ "xXX",
2663
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2664
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2665
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2666
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2667
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2668
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2669
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2670
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2671
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2672
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2673
+ "xx.",
2674
+ "xx.d",
2675
+ "xxd",
2676
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2677
+ "xxx'x",
2678
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2679
+ "xxx/xx",
2680
+ "xxxx",
2681
+ "xxxx'",
2682
+ "xxxx'x",
2683
+ "xxxx/",
2684
+ "xxxx\u2019",
2685
+ "xxxx\u2019x",
2686
+ "xxx\u2019x",
2687
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2688
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2689
+ "xx\u2019xx",
2690
+ "x\u2019",
2691
+ "x\u2019x",
2692
+ "x\u2019xxxx",
2693
+ "x\ufe35x",
2694
+ "y",
2695
+ "y'",
2696
+ "y's",
2697
+ "y.",
2698
+ "ybe",
2699
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2700
+ "yet",
2701
+ "you",
2702
+ "y\u2019",
2703
+ "y\u2019s",
2704
+ "z",
2705
+ "z.",
2706
+ "zed",
2707
+ "zen",
2708
+ "|",
2709
+ "}",
2710
+ "~",
2711
+ "\u00a0",
2712
+ "\u00ac",
2713
+ "\u00ac_\u00ac",
2714
+ "\u00af",
2715
+ "\u00af\\(x)/\u00af",
2716
+ "\u00af\\(\u30c4)/\u00af",
2717
+ "\u00b0",
2718
+ "\u00b0C.",
2719
+ "\u00b0F.",
2720
+ "\u00b0K.",
2721
+ "\u00b0X.",
2722
+ "\u00b0c.",
2723
+ "\u00b0f.",
2724
+ "\u00b0k.",
2725
+ "\u00b0x.",
2726
+ "\u00e4",
2727
+ "\u00e4.",
2728
+ "\u00f6",
2729
+ "\u00f6.",
2730
+ "\u00fc",
2731
+ "\u00fc.",
2732
+ "\u0ca0",
2733
+ "\u0ca0_\u0ca0",
2734
+ "\u0ca0\ufe35\u0ca0",
2735
+ "\u2014",
2736
+ "\u2018",
2737
+ "\u2018S",
2738
+ "\u2018X",
2739
+ "\u2018s",
2740
+ "\u2018x",
2741
+ "\u2019",
2742
+ "\u2019-(",
2743
+ "\u2019-)",
2744
+ "\u2019Cause",
2745
+ "\u2019Cos",
2746
+ "\u2019Coz",
2747
+ "\u2019Cuz",
2748
+ "\u2019S",
2749
+ "\u2019X",
2750
+ "\u2019Xxx",
2751
+ "\u2019Xxxxx",
2752
+ "\u2019am",
2753
+ "\u2019bout",
2754
+ "\u2019cause",
2755
+ "\u2019cos",
2756
+ "\u2019coz",
2757
+ "\u2019cuz",
2758
+ "\u2019d",
2759
+ "\u2019em",
2760
+ "\u2019ll",
2761
+ "\u2019m",
2762
+ "\u2019nuff",
2763
+ "\u2019re",
2764
+ "\u2019s",
2765
+ "\u2019ve",
2766
+ "\u2019x",
2767
+ "\u2019xx",
2768
+ "\u2019xxx",
2769
+ "\u2019xxxx",
2770
+ "\u2019y",
2771
+ "\u2019\u2019",
2772
+ "\u2501",
2773
+ "\u253b",
2774
+ "\u253b\u2501\u253b",
2775
+ "\u256f",
2776
+ "\u25a1",
2777
+ "\ufe35",
2778
+ "\uff09"
2779
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
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+ {
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+ "mode":"default"
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