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alimagedayad
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ner-ft

Token Classification
spaCy
English
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alimagedayad commited on
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Update spaCy pipeline

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Files changed (14) hide show
  1. .gitattributes +2 -0
  2. README.md +30 -0
  3. config.cfg +129 -0
  4. en_pipeline-any-py3-none-any.whl +3 -0
  5. meta.json +38 -0
  6. ner/cfg +13 -0
  7. ner/model +3 -0
  8. ner/moves +1 -0
  9. tokenizer +3 -0
  10. vocab/key2row +1 -0
  11. vocab/lookups.bin +3 -0
  12. vocab/strings.json +2838 -0
  13. vocab/vectors +0 -0
  14. vocab/vectors.cfg +3 -0
.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ en_pipeline-any-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
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+ ner/model filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - spacy
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+ - token-classification
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+ language:
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+ - en
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+ ---
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+ | Feature | Description |
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+ | --- | --- |
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+ | **Name** | `en_pipeline` |
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+ | **Version** | `0.0.0` |
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+ | **spaCy** | `>=3.5.2,<3.6.0` |
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+ | **Default Pipeline** | `ner` |
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+ | **Components** | `ner` |
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+ | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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+ | **Sources** | n/a |
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+ | **License** | n/a |
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+ | **Author** | [n/a]() |
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+
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+ ### Label Scheme
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+
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+ <details>
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+
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+ <summary>View label scheme (4 labels for 1 components)</summary>
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+
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+ | Component | Labels |
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+ | --- | --- |
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+ | **`ner`** | `BANK`, `LOCATION`, `OP`, `VENDOR` |
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+
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+ </details>
config.cfg ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [paths]
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+ train = null
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+ dev = null
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+ vectors = null
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+ init_tok2vec = null
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+
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+ [system]
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+ seed = 0
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+ gpu_allocator = null
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+
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+ [nlp]
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+ lang = "en"
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+ pipeline = ["ner"]
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+ disabled = []
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+ before_creation = null
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+ after_creation = null
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+ after_pipeline_creation = null
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+ batch_size = 1000
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+ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
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+
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+ [components]
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+
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+ [components.ner]
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+ factory = "ner"
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+ incorrect_spans_key = null
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+ moves = null
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+ scorer = {"@scorers":"spacy.ner_scorer.v1"}
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+ update_with_oracle_cut_size = 100
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+
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+ [components.ner.model]
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+ @architectures = "spacy.TransitionBasedParser.v2"
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+ state_type = "ner"
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+ extra_state_tokens = false
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+ hidden_width = 64
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+ maxout_pieces = 2
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+ use_upper = true
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+ nO = null
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+
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+ [components.ner.model.tok2vec]
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+ @architectures = "spacy.HashEmbedCNN.v2"
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+ pretrained_vectors = null
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+ width = 96
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+ depth = 4
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+ embed_size = 2000
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+ window_size = 1
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+ maxout_pieces = 3
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+ subword_features = true
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+
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+ [corpora]
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+
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+ [corpora.dev]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.dev}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [corpora.train]
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+ @readers = "spacy.Corpus.v1"
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+ path = ${paths.train}
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+ gold_preproc = false
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+ max_length = 0
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+ limit = 0
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+ augmenter = null
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+
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+ [training]
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+ seed = ${system.seed}
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+ gpu_allocator = ${system.gpu_allocator}
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+ dropout = 0.1
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+ accumulate_gradient = 1
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+ patience = 1600
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+ max_epochs = 0
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+ max_steps = 20000
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+ eval_frequency = 200
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+ frozen_components = []
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+ annotating_components = []
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+ dev_corpus = "corpora.dev"
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+ train_corpus = "corpora.train"
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+ before_to_disk = null
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+ before_update = null
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+
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+ [training.batcher]
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+ @batchers = "spacy.batch_by_words.v1"
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+ discard_oversize = false
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+ tolerance = 0.2
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+ get_length = null
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+
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+ [training.batcher.size]
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+ @schedules = "compounding.v1"
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+ start = 100
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+ stop = 1000
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+ compound = 1.001
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+ t = 0.0
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+
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+ [training.logger]
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+ @loggers = "spacy.ConsoleLogger.v1"
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+ progress_bar = false
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+
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+ [training.optimizer]
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+ @optimizers = "Adam.v1"
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+ beta1 = 0.9
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+ beta2 = 0.999
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+ L2_is_weight_decay = true
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+ L2 = 0.01
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+ grad_clip = 1.0
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+ use_averages = false
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+ eps = 0.00000001
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+ learn_rate = 0.001
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+
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+ [training.score_weights]
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+ ents_f = 1.0
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+ ents_p = 0.0
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+ ents_r = 0.0
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+ ents_per_type = null
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+
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+ [pretraining]
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+
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+ [initialize]
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+ vectors = ${paths.vectors}
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+ init_tok2vec = ${paths.init_tok2vec}
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+ vocab_data = null
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+ lookups = null
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+ before_init = null
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+ after_init = null
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+
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+ [initialize.components]
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+
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+ [initialize.tokenizer]
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meta.json ADDED
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+ "labels":{
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+ "VENDOR"
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+ ]
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+ },
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+ "pipeline":[
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+ ],
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+ "components":[
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+ "ner"
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+ ],
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+ "disabled":[
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+
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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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+ "DONUTS",
536
+ "DOOR",
537
+ "DOWNTOWN",
538
+ "DR",
539
+ "DRIVE",
540
+ "DSL",
541
+ "DUN",
542
+ "DUNKIN",
543
+ "Dare",
544
+ "Debit",
545
+ "Debt",
546
+ "Dec",
547
+ "Dec.",
548
+ "December",
549
+ "Del",
550
+ "Del.",
551
+ "Delaware",
552
+ "Deposit",
553
+ "Did",
554
+ "Diet",
555
+ "Dina",
556
+ "Diplo",
557
+ "Diplomat",
558
+ "Direct",
559
+ "Do",
560
+ "Does",
561
+ "Doin",
562
+ "Doin'",
563
+ "Doin\u2019",
564
+ "Dominos",
565
+ "Downtown",
566
+ "Dr",
567
+ "Dr.",
568
+ "Drive",
569
+ "Dublin",
570
+ "E",
571
+ "E.G.",
572
+ "E.g",
573
+ "E.g.",
574
+ "EAM",
575
+ "EAN",
576
+ "EAP",
577
+ "EAR",
578
+ "EASY",
579
+ "EBK",
580
+ "ECH",
581
+ "EED",
582
+ "EEM",
583
+ "EES",
584
+ "EET",
585
+ "EG",
586
+ "EGYPT",
587
+ "EGYPTAIN",
588
+ "EGYPTAIR",
589
+ "EIR",
590
+ "EL",
591
+ "ELASMART",
592
+ "ELDAHAN",
593
+ "ELFAR",
594
+ "ELKHEIR",
595
+ "ELLASELKY",
596
+ "ELMAHALAWY",
597
+ "ELMEARAG",
598
+ "ELMENUS",
599
+ "ELMOKTAM",
600
+ "ELMOSHI",
601
+ "ELNARG",
602
+ "ELNOUR",
603
+ "ELSBETHEN",
604
+ "ELTAGAMO",
605
+ "EMARAT",
606
+ "EME",
607
+ "EMIRATES",
608
+ "EMPLOYE",
609
+ "EMPLOYEES",
610
+ "ENT",
611
+ "EOR",
612
+ "EPE",
613
+ "EPT",
614
+ "ERS",
615
+ "ESH",
616
+ "ESS",
617
+ "ETISALAT",
618
+ "ETS",
619
+ "EW",
620
+ "EXCHANGE",
621
+ "EYA",
622
+ "EZABY",
623
+ "Earned",
624
+ "EasyKash",
625
+ "Egypt",
626
+ "El",
627
+ "Elrefaay",
628
+ "Elsham",
629
+ "Emirates",
630
+ "Enas",
631
+ "Energy",
632
+ "F",
633
+ "F.",
634
+ "FACEBK",
635
+ "FAKAHANY",
636
+ "FAR",
637
+ "FAWRY",
638
+ "FAWRY*SHYL",
639
+ "FAWRY*TOMMY",
640
+ "FEE",
641
+ "FEES",
642
+ "FELIXMERCHANT",
643
+ "FIC",
644
+ "FIT",
645
+ "FLAMINGO",
646
+ "FLAMNGO",
647
+ "FLY",
648
+ "FNTS",
649
+ "FO",
650
+ "FOOD",
651
+ "FOR",
652
+ "FORCE",
653
+ "FOREIGN",
654
+ "FR",
655
+ "FRESH",
656
+ "FRIED",
657
+ "FROM",
658
+ "FRUIT",
659
+ "FUEL",
660
+ "FWRM",
661
+ "Feb",
662
+ "Feb.",
663
+ "February",
664
+ "Fee",
665
+ "Fees",
666
+ "Fifth",
667
+ "Fit",
668
+ "Fla",
669
+ "Fla.",
670
+ "Florida",
671
+ "Flyer",
672
+ "Food",
673
+ "Frequent",
674
+ "Funds",
675
+ "G",
676
+ "GALAXYGYM",
677
+ "GALLERIA",
678
+ "GAMES",
679
+ "GAN",
680
+ "GAZ",
681
+ "GB",
682
+ "GCX",
683
+ "GEIDEA",
684
+ "GEIDEAMEDICA",
685
+ "GEN",
686
+ "GFM",
687
+ "GHATATY",
688
+ "GIRA",
689
+ "GIZA",
690
+ "GLAAT",
691
+ "GLE",
692
+ "GLEEM",
693
+ "GO",
694
+ "GOAT",
695
+ "GOOGLE",
696
+ "GORMET",
697
+ "GOS",
698
+ "GOVPAY",
699
+ "GRAND",
700
+ "GRINGO",
701
+ "GRINGOS",
702
+ "GROUP",
703
+ "GYM",
704
+ "GYPT",
705
+ "Ga",
706
+ "Ga.",
707
+ "Gatos",
708
+ "Gelato",
709
+ "Gen",
710
+ "Gen.",
711
+ "Georgia",
712
+ "Giza",
713
+ "GoFndMe",
714
+ "Goin",
715
+ "Goin'",
716
+ "Goin\u2019",
717
+ "Gon",
718
+ "Google",
719
+ "GoogleAdwordsEU",
720
+ "Got",
721
+ "Gourmet",
722
+ "Gov",
723
+ "Gov.",
724
+ "H",
725
+ "HAB",
726
+ "HAG",
727
+ "HAL",
728
+ "HAM",
729
+ "HAN",
730
+ "HARDEES",
731
+ "HCZ",
732
+ "HEE",
733
+ "HEGAZ",
734
+ "HELIOPOLIS",
735
+ "HEN",
736
+ "HEQ",
737
+ "HES",
738
+ "HLY",
739
+ "HOP",
740
+ "HOSPITAL",
741
+ "HRU",
742
+ "HSBC",
743
+ "HWA",
744
+ "HYL",
745
+ "HYPER",
746
+ "Had",
747
+ "Hamburg",
748
+ "Has",
749
+ "Have",
750
+ "Havin",
751
+ "Havin'",
752
+ "Havin\u2019",
753
+ "Hawawshi",
754
+ "He",
755
+ "He's",
756
+ "Help",
757
+ "He\u2019s",
758
+ "Hosni",
759
+ "How",
760
+ "How's",
761
+ "How\u2019s",
762
+ "Hub",
763
+ "I",
764
+ "I.E.",
765
+ "I.e",
766
+ "I.e.",
767
+ "IAN",
768
+ "ICA",
769
+ "ICK",
770
+ "IDB",
771
+ "IDE",
772
+ "IE",
773
+ "IED",
774
+ "IFI",
775
+ "IFT",
776
+ "IFY",
777
+ "IGI",
778
+ "IGN",
779
+ "II",
780
+ "III",
781
+ "ILE",
782
+ "ILL",
783
+ "IME",
784
+ "IN",
785
+ "INFINITY",
786
+ "ING",
787
+ "INS",
788
+ "INSTASHOP",
789
+ "INSURANCE",
790
+ "INT",
791
+ "INTER",
792
+ "INTERNATIONAL",
793
+ "INTERNET",
794
+ "ION",
795
+ "IPN",
796
+ "IRA",
797
+ "IRO",
798
+ "ISO",
799
+ "ISR",
800
+ "ITH",
801
+ "ITUNES",
802
+ "ITUNES.COM",
803
+ "ITY",
804
+ "IUM",
805
+ "IVE",
806
+ "IZA",
807
+ "IZY",
808
+ "Ia",
809
+ "Ia.",
810
+ "Ibn",
811
+ "Id",
812
+ "Id.",
813
+ "Idaho",
814
+ "Ill",
815
+ "Ill.",
816
+ "Illinois",
817
+ "Inc",
818
+ "Inc.",
819
+ "Ind",
820
+ "Ind.",
821
+ "Indiana",
822
+ "Interest",
823
+ "Inward",
824
+ "Iowa",
825
+ "Is",
826
+ "It",
827
+ "It's",
828
+ "It\u2019s",
829
+ "J",
830
+ "JED",
831
+ "JIMMY",
832
+ "JIMMYS",
833
+ "JP",
834
+ "JYM",
835
+ "Jan",
836
+ "Jan.",
837
+ "January",
838
+ "Jr",
839
+ "Jr.",
840
+ "Jul",
841
+ "Jul.",
842
+ "July",
843
+ "Jun",
844
+ "Jun.",
845
+ "June",
846
+ "K",
847
+ "K.",
848
+ "KANSAS",
849
+ "KATTAMEYA",
850
+ "KEN",
851
+ "KET",
852
+ "KHAME",
853
+ "KIN",
854
+ "KINGUINDIGI",
855
+ "KIO",
856
+ "KITCHEN",
857
+ "KKA",
858
+ "KNOWLEDGE",
859
+ "KOKIO",
860
+ "KORBA",
861
+ "KREME",
862
+ "KRISPY",
863
+ "KUALA",
864
+ "KUP",
865
+ "KYO",
866
+ "Kan",
867
+ "Kan.",
868
+ "Kans",
869
+ "Kans.",
870
+ "Kansas",
871
+ "Katameya",
872
+ "Kattameya",
873
+ "Kentucky",
874
+ "Knowledge",
875
+ "Ky",
876
+ "Ky.",
877
+ "L",
878
+ "LA",
879
+ "LAB",
880
+ "LAKE",
881
+ "LANYUAN",
882
+ "LAT",
883
+ "LAZADA",
884
+ "LCAIRO",
885
+ "LDS",
886
+ "LEX",
887
+ "LIN",
888
+ "LINCONTRO",
889
+ "LIP",
890
+ "LIS",
891
+ "LKY",
892
+ "LLA",
893
+ "LOCATION",
894
+ "LON",
895
+ "LU",
896
+ "LUB",
897
+ "LUMPUR",
898
+ "LUS",
899
+ "LXB",
900
+ "LYCHEE",
901
+ "LYS",
902
+ "La",
903
+ "La.",
904
+ "Let",
905
+ "Let's",
906
+ "Let\u2019s",
907
+ "London",
908
+ "Los",
909
+ "Louisiana",
910
+ "Lovin",
911
+ "Lovin'",
912
+ "Lovin\u2019",
913
+ "Ltd",
914
+ "Ltd.",
915
+ "Lucky",
916
+ "M",
917
+ "MA",
918
+ "MAA",
919
+ "MAADI",
920
+ "MABCO",
921
+ "MADKHAL",
922
+ "MAHMOUD",
923
+ "MAJD",
924
+ "MAJED",
925
+ "MALL",
926
+ "MAN",
927
+ "MAQARR",
928
+ "MARKET",
929
+ "MARKETPLACE",
930
+ "MARKUP",
931
+ "MART",
932
+ "MASTE",
933
+ "MASTER",
934
+ "MATROUH",
935
+ "MAX",
936
+ "MCDONALD",
937
+ "MCDONALDS",
938
+ "MED",
939
+ "MEDEOR",
940
+ "MEDICAL",
941
+ "MEKKA",
942
+ "MEN",
943
+ "MENIA",
944
+ "MENYA",
945
+ "MERAAG",
946
+ "MES",
947
+ "MET",
948
+ "MEX",
949
+ "MIDB",
950
+ "MIDBATM",
951
+ "MIN",
952
+ "MINISO",
953
+ "MIR",
954
+ "MISR",
955
+ "MISRC",
956
+ "MISRRING",
957
+ "MIX",
958
+ "MMY",
959
+ "MO",
960
+ "MOA",
961
+ "MOB",
962
+ "MOBIL",
963
+ "MOBILATY",
964
+ "MOBILE",
965
+ "MOHAMED",
966
+ "MOKATAM",
967
+ "MOKATTAM",
968
+ "MONTHLY",
969
+ "MORGAN",
970
+ "MOSTAFA",
971
+ "MQR",
972
+ "MUKATTAM",
973
+ "MUSCLE",
974
+ "MY",
975
+ "MYS",
976
+ "Ma'am",
977
+ "Maadi",
978
+ "Maged",
979
+ "Magi",
980
+ "Mall",
981
+ "Mama",
982
+ "Manno",
983
+ "Mar",
984
+ "Mar.",
985
+ "March",
986
+ "MarketNew",
987
+ "Mass",
988
+ "Mass.",
989
+ "Massachusetts",
990
+ "May",
991
+ "Ma\u2019am",
992
+ "McDonalds",
993
+ "Md",
994
+ "Md.",
995
+ "Messrs",
996
+ "Messrs.",
997
+ "Mich",
998
+ "Mich.",
999
+ "Michigan",
1000
+ "Midor",
1001
+ "Might",
1002
+ "Miles",
1003
+ "Minn",
1004
+ "Minn.",
1005
+ "Minnesota",
1006
+ "Mio",
1007
+ "Miss",
1008
+ "Miss.",
1009
+ "Mississippi",
1010
+ "Mo",
1011
+ "Mo.",
1012
+ "Mob",
1013
+ "Mohamed",
1014
+ "Mohandessin",
1015
+ "Mokatt",
1016
+ "Mokattam",
1017
+ "Money",
1018
+ "Mont",
1019
+ "Mont.",
1020
+ "Moqattam",
1021
+ "Mount",
1022
+ "Mr",
1023
+ "Mr.",
1024
+ "Mrs",
1025
+ "Mrs.",
1026
+ "Ms",
1027
+ "Ms.",
1028
+ "Mt",
1029
+ "Mt.",
1030
+ "Musb",
1031
+ "Must",
1032
+ "My",
1033
+ "Myfawry",
1034
+ "N",
1035
+ "N.C.",
1036
+ "N.D.",
1037
+ "N.H.",
1038
+ "N.J.",
1039
+ "N.M.",
1040
+ "N.Y.",
1041
+ "NA",
1042
+ "NAL",
1043
+ "NAME",
1044
+ "NARGS",
1045
+ "NBAD",
1046
+ "NBE",
1047
+ "NCE",
1048
+ "NDO",
1049
+ "NDY",
1050
+ "NE",
1051
+ "NEAR",
1052
+ "NES",
1053
+ "NET",
1054
+ "NEW",
1055
+ "NGE",
1056
+ "NGO",
1057
+ "NGS",
1058
+ "NIA",
1059
+ "NL",
1060
+ "NNY",
1061
+ "NO",
1062
+ "NOON",
1063
+ "NSR",
1064
+ "NTA",
1065
+ "NTS",
1066
+ "NUS",
1067
+ "NYA",
1068
+ "Name",
1069
+ "Nargas",
1070
+ "Nasr",
1071
+ "Neb",
1072
+ "Neb.",
1073
+ "Nebr",
1074
+ "Nebr.",
1075
+ "Nebraska",
1076
+ "Need",
1077
+ "Netflix.com",
1078
+ "Nev",
1079
+ "Nev.",
1080
+ "Nevada",
1081
+ "New",
1082
+ "New Hampshire",
1083
+ "New Jersey",
1084
+ "New Mexico",
1085
+ "New York",
1086
+ "Noon",
1087
+ "North Carolina",
1088
+ "North Dakota",
1089
+ "Not",
1090
+ "Nothin",
1091
+ "Nothin'",
1092
+ "Nothin\u2019",
1093
+ "Nov",
1094
+ "Nov.",
1095
+ "November",
1096
+ "Nuthin",
1097
+ "Nuthin'",
1098
+ "Nuthin\u2019",
1099
+ "Nutrition",
1100
+ "O",
1101
+ "O'clock",
1102
+ "O.O",
1103
+ "O.o",
1104
+ "OAD",
1105
+ "OAT",
1106
+ "OCO",
1107
+ "OCT",
1108
+ "OFR",
1109
+ "OIL",
1110
+ "OLA",
1111
+ "OLI",
1112
+ "OLM",
1113
+ "OM",
1114
+ "ON",
1115
+ "OND",
1116
+ "ONE",
1117
+ "OOD",
1118
+ "OOK",
1119
+ "OON",
1120
+ "OOR",
1121
+ "OP",
1122
+ "ORANGE",
1123
+ "ORD",
1124
+ "ORE",
1125
+ "ORK",
1126
+ "ORX",
1127
+ "OSCAR",
1128
+ "OSE",
1129
+ "OTHERS",
1130
+ "OTT",
1131
+ "OUD",
1132
+ "OUH",
1133
+ "OUP",
1134
+ "OUR",
1135
+ "OUT",
1136
+ "OWN",
1137
+ "OYE",
1138
+ "O_O",
1139
+ "O_o",
1140
+ "Oct",
1141
+ "Oct.",
1142
+ "October",
1143
+ "Okla",
1144
+ "Okla.",
1145
+ "Oklahoma",
1146
+ "Ol",
1147
+ "Ol'",
1148
+ "Ola",
1149
+ "Ol\u2019",
1150
+ "Omar",
1151
+ "One",
1152
+ "Online",
1153
+ "Orange",
1154
+ "Ore",
1155
+ "Ore.",
1156
+ "Oregon",
1157
+ "Oscar",
1158
+ "Others",
1159
+ "Otlob.com",
1160
+ "Ought",
1161
+ "Outward",
1162
+ "O\u2019clock",
1163
+ "P",
1164
+ "PADDLE",
1165
+ "PAL",
1166
+ "PARK",
1167
+ "PAS",
1168
+ "PASSPOR",
1169
+ "PASSPORTS",
1170
+ "PAY",
1171
+ "PAYMENT",
1172
+ "PAYMOB",
1173
+ "PAYPAL",
1174
+ "PENNY",
1175
+ "PER",
1176
+ "PEX",
1177
+ "PHARMA",
1178
+ "PICK",
1179
+ "PLA",
1180
+ "PLASTIC",
1181
+ "PLAZA",
1182
+ "PLE",
1183
+ "PLUS",
1184
+ "PO",
1185
+ "POINT",
1186
+ "POR",
1187
+ "PRE",
1188
+ "PRIME",
1189
+ "PROCAR",
1190
+ "PS",
1191
+ "PUR",
1192
+ "PURCHASE",
1193
+ "Pa",
1194
+ "Pa.",
1195
+ "PayMob",
1196
+ "Payee",
1197
+ "Payer",
1198
+ "Payment",
1199
+ "Paymob",
1200
+ "Pennsylvania",
1201
+ "Personal",
1202
+ "Ph",
1203
+ "Ph.D.",
1204
+ "Pizza",
1205
+ "Plus",
1206
+ "Prof",
1207
+ "Prof.",
1208
+ "Promenade",
1209
+ "Publishing",
1210
+ "Q",
1211
+ "QAHWA",
1212
+ "QNATE",
1213
+ "QUICK",
1214
+ "QWBMVHCZ",
1215
+ "R",
1216
+ "RABBITSCO",
1217
+ "RAFAAT",
1218
+ "RAG",
1219
+ "RAN",
1220
+ "RANA",
1221
+ "RAT",
1222
+ "RAYA",
1223
+ "RBA",
1224
+ "RBR",
1225
+ "RCE",
1226
+ "RCJ",
1227
+ "RECEIVED",
1228
+ "RED",
1229
+ "REDEMPTION",
1230
+ "REFUND",
1231
+ "REHAB",
1232
+ "RESTAURANT",
1233
+ "RGS",
1234
+ "RI",
1235
+ "RIA",
1236
+ "RKA",
1237
+ "RMA",
1238
+ "ROAD",
1239
+ "ROM",
1240
+ "ROOT",
1241
+ "ROYAL",
1242
+ "RTANTA",
1243
+ "RTI",
1244
+ "RTIN()\u0645\u0635\u0627\u0631\u064a\u0641",
1245
+ "RTIN()\u0645\u0635\u0631\u0648\u0641",
1246
+ "RTIN(DIG",
1247
+ "RTIN(SALARY",
1248
+ "RTS",
1249
+ "RUN",
1250
+ "Redwood",
1251
+ "Refa",
1252
+ "Rep",
1253
+ "Rep.",
1254
+ "Rev",
1255
+ "Rev.",
1256
+ "Reverse",
1257
+ "Riot",
1258
+ "S",
1259
+ "S.C.",
1260
+ "SAMIR",
1261
+ "SAS",
1262
+ "SBC",
1263
+ "SCO",
1264
+ "SE",
1265
+ "SECOND",
1266
+ "SEOUDI",
1267
+ "SET",
1268
+ "SG",
1269
+ "SHENZAWY",
1270
+ "SHI",
1271
+ "SHOP",
1272
+ "SHUBR",
1273
+ "SHY",
1274
+ "SIDE",
1275
+ "SIDEMEN",
1276
+ "SIF",
1277
+ "SILVER",
1278
+ "SINGAPORE",
1279
+ "SIT",
1280
+ "SOLIDARITY",
1281
+ "SPOTIFY",
1282
+ "SPY",
1283
+ "SRC",
1284
+ "ST",
1285
+ "STA",
1286
+ "STAR",
1287
+ "STARBUCKS",
1288
+ "STATION",
1289
+ "STE",
1290
+ "STEAM",
1291
+ "STEAMGAMES",
1292
+ "STOCKHOLM",
1293
+ "STORE",
1294
+ "STREET",
1295
+ "SUBSCRIPTION",
1296
+ "SUEZ",
1297
+ "SUHAG",
1298
+ "SUPER",
1299
+ "SUPERMARKET",
1300
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1301
+ "SWEETS",
1302
+ "SWVL",
1303
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1304
+ "Salama",
1305
+ "Scheme",
1306
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1307
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1308
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1309
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1310
+ "Sep.",
1311
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1312
+ "Sept.",
1313
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1314
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1315
+ "She",
1316
+ "She's",
1317
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1318
+ "Should",
1319
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1320
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1321
+ "Somethin'",
1322
+ "Somethin\u2019",
1323
+ "South Carolina",
1324
+ "Space",
1325
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1326
+ "Spin",
1327
+ "Spotify",
1328
+ "St",
1329
+ "St.",
1330
+ "Starbucks",
1331
+ "Stockholm",
1332
+ "Storage",
1333
+ "T",
1334
+ "TAGAMOA",
1335
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1336
+ "TAM",
1337
+ "TAR",
1338
+ "TAYARAN",
1339
+ "TAZKARTI",
1340
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1341
+ "TBSW",
1342
+ "TEL",
1343
+ "TELECOM",
1344
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1345
+ "TES",
1346
+ "TGAMAA",
1347
+ "THE",
1348
+ "THO",
1349
+ "THRU",
1350
+ "TIC",
1351
+ "TIVOLI",
1352
+ "TOKYO",
1353
+ "TOLIP",
1354
+ "TOP",
1355
+ "TOTAL",
1356
+ "TRADE",
1357
+ "TRADING",
1358
+ "TRAFFIC",
1359
+ "TRIPMODECH",
1360
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1361
+ "TRS",
1362
+ "TRX",
1363
+ "TSEPPAS",
1364
+ "TTA",
1365
+ "TUR",
1366
+ "Talabat",
1367
+ "Talat",
1368
+ "Tenn",
1369
+ "Tenn.",
1370
+ "Tennessee",
1371
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1372
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1373
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1374
+ "That\u2019s",
1375
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1376
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1377
+ "There\u2019s",
1378
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1379
+ "They",
1380
+ "This",
1381
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1382
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1383
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1384
+ "Thru",
1385
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1386
+ "Transfer",
1387
+ "Tribe",
1388
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1389
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1390
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1391
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1392
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1393
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1394
+ "UIT",
1395
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1396
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1397
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1398
+ "UNI",
1399
+ "UNT",
1400
+ "UP",
1401
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1402
+ "URBAN",
1403
+ "URT",
1404
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1405
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1406
+ "UTS",
1407
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1408
+ "Udemy",
1409
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1410
+ "V.V",
1411
+ "VED",
1412
+ "VELIZY",
1413
+ "VENDOR",
1414
+ "VER",
1415
+ "VF",
1416
+ "VILACOFR",
1417
+ "VODAFONE",
1418
+ "V_V",
1419
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1420
+ "Va.",
1421
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1422
+ "Virginia",
1423
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1424
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1425
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1426
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1427
+ "WATCHES",
1428
+ "WATER",
1429
+ "WATERWAY",
1430
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1431
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1432
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1433
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1434
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1435
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1436
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1437
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1438
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1439
+ "WRY",
1440
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1441
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1442
+ "Was",
1443
+ "Wash",
1444
+ "Wash.",
1445
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1446
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1447
+ "Way",
1448
+ "We",
1449
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1450
+ "Were",
1451
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1452
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1453
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1454
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1455
+ "When's",
1456
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1457
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1458
+ "Where's",
1459
+ "Where\u2019s",
1460
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1461
+ "Who's",
1462
+ "Who\u2019s",
1463
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1464
+ "Why's",
1465
+ "Why\u2019s",
1466
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1467
+ "Wis.",
1468
+ "Wisconsin",
1469
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1470
+ "Would",
1471
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1472
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1473
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1474
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1475
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1476
+ "X.X.",
1477
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1478
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1479
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1480
+ "XDD",
1481
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1482
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1483
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1484
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1485
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1486
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1487
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1488
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1489
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1490
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1491
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1492
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1493
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1494
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1495
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1496
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1497
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1498
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1499
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1500
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1501
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1502
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1503
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1504
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1505
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1506
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1507
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1508
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1509
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1510
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1511
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1512
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1513
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1514
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1515
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1516
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1517
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1518
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1519
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1520
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1521
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1522
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1523
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1524
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1525
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1526
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1527
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1528
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1529
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1530
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1531
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1532
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1533
+ "YORK",
1534
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1535
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1536
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1537
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1538
+ "Yikes",
1539
+ "You",
1540
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1541
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1542
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1543
+ "ZALANDOSE",
1544
+ "ZAM",
1545
+ "ZIDAN",
1546
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1547
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1548
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1549
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1550
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1551
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1552
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1555
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1556
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1557
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1559
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1560
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1562
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1563
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1565
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1566
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1567
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1568
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1569
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1570
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1571
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1572
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1573
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1574
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1575
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1576
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1577
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1578
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1579
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1580
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1581
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1582
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1583
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1584
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1585
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1586
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1587
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1589
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1590
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1591
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1592
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1593
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1594
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1595
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1596
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1597
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1598
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1599
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1600
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1601
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1602
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1603
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1604
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1605
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1606
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1607
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1609
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1610
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1611
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1612
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1613
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1614
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1615
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1616
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1617
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1618
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1619
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1620
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1621
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1622
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1623
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1624
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1625
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1626
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1627
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1628
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1629
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1630
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1631
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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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1649
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1650
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1651
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1653
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1654
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1655
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1657
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1659
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1660
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1661
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1662
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1663
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1664
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1665
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1666
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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
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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
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1689
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1690
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1691
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1692
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1693
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1694
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1695
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1696
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1697
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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
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1706
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1708
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1709
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1710
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1711
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1712
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1714
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1715
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1716
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1717
+ "cardless",
1718
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1719
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1720
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1721
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1722
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1723
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1724
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1725
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1727
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1728
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1729
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1730
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1731
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1732
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1734
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1735
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1736
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1737
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1738
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1739
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1740
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1741
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1744
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1745
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1747
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1748
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1750
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1751
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1752
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1753
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1755
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1756
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1757
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1758
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1759
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1760
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1761
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1762
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1763
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1765
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1766
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1767
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1768
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1770
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1772
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1776
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1780
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1792
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1794
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1799
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1800
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1801
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1813
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1818
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1822
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1834
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1835
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1836
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1840
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1856
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1870
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1872
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1875
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1877
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1878
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1879
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1880
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1881
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1882
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1883
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1885
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1888
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1900
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1911
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1914
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1918
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1920
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1921
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1934
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1936
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1943
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1946
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1947
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1953
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1954
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1956
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1957
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1958
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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
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1972
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1973
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1976
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1977
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1978
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1987
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1989
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1991
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1992
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1993
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1994
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2000
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2001
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2002
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2007
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2011
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2012
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2013
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2014
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2015
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2017
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2018
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2020
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2021
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2457
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2468
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2673
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2682
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2683
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2684
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2685
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2686
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2687
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2689
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2692
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2694
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2695
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2696
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2697
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2698
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2699
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2701
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2702
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2703
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2704
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2705
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2706
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2707
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2708
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2709
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2710
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2711
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2712
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2713
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2714
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2715
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2716
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2717
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2718
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2719
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2720
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2721
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2722
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2723
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2724
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2725
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2726
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2727
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2728
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2729
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2730
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2731
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2732
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2733
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2734
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2735
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2736
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2737
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2738
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2739
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2740
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2741
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2742
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2743
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2744
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2745
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2746
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2747
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2748
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2749
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2750
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2751
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2752
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2753
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2754
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2755
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2756
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2757
+ "zalando",
2758
+ "zalandose",
2759
+ "zidan",
2760
+ "zydan",
2761
+ "zza",
2762
+ "|",
2763
+ "}",
2764
+ "\u00a0",
2765
+ "\u00ac",
2766
+ "\u00ac_\u00ac",
2767
+ "\u00af",
2768
+ "\u00af\\(x)/\u00af",
2769
+ "\u00af\\(\u30c4)/\u00af",
2770
+ "\u00b0",
2771
+ "\u00b0C.",
2772
+ "\u00b0F.",
2773
+ "\u00b0K.",
2774
+ "\u00b0X.",
2775
+ "\u00b0c.",
2776
+ "\u00b0f.",
2777
+ "\u00b0k.",
2778
+ "\u00b0x.",
2779
+ "\u00e4",
2780
+ "\u00e4.",
2781
+ "\u00f6",
2782
+ "\u00f6.",
2783
+ "\u00fc",
2784
+ "\u00fc.",
2785
+ "\u060c",
2786
+ "\u0627",
2787
+ "\u0627\u0633\u0644\u0645\u0627\u063a\u0648\u064a\u0644",
2788
+ "\u0631\u0648\u0641",
2789
+ "\u0631\u064a\u0641",
2790
+ "\u0648\u064a\u0644",
2791
+ "\u0ca0",
2792
+ "\u0ca0_\u0ca0",
2793
+ "\u0ca0\ufe35\u0ca0",
2794
+ "\u2014",
2795
+ "\u2018",
2796
+ "\u2018S",
2797
+ "\u2018X",
2798
+ "\u2018s",
2799
+ "\u2018x",
2800
+ "\u2019",
2801
+ "\u2019-(",
2802
+ "\u2019-)",
2803
+ "\u2019Cause",
2804
+ "\u2019Cos",
2805
+ "\u2019Coz",
2806
+ "\u2019Cuz",
2807
+ "\u2019S",
2808
+ "\u2019X",
2809
+ "\u2019Xxx",
2810
+ "\u2019Xxxxx",
2811
+ "\u2019am",
2812
+ "\u2019bout",
2813
+ "\u2019cause",
2814
+ "\u2019cos",
2815
+ "\u2019coz",
2816
+ "\u2019cuz",
2817
+ "\u2019d",
2818
+ "\u2019em",
2819
+ "\u2019ll",
2820
+ "\u2019m",
2821
+ "\u2019nuff",
2822
+ "\u2019re",
2823
+ "\u2019s",
2824
+ "\u2019ve",
2825
+ "\u2019x",
2826
+ "\u2019xx",
2827
+ "\u2019xxx",
2828
+ "\u2019xxxx",
2829
+ "\u2019y",
2830
+ "\u2019\u2019",
2831
+ "\u2501",
2832
+ "\u253b",
2833
+ "\u253b\u2501\u253b",
2834
+ "\u256f",
2835
+ "\u25a1",
2836
+ "\ufe35",
2837
+ "\uff09"
2838
+ ]
vocab/vectors ADDED
Binary file (128 Bytes). View file
 
vocab/vectors.cfg ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "mode":"default"
3
+ }