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Register SentenceSegmenter in Language.factories
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@ -16,7 +16,7 @@ from .tokenizer import Tokenizer
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from .vocab import Vocab
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from .lemmatizer import Lemmatizer
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from .pipeline import DependencyParser, Tensorizer, Tagger, EntityRecognizer
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from .pipeline import SimilarityHook, TextCategorizer
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from .pipeline import SimilarityHook, TextCategorizer, SentenceSegmenter
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from .compat import json_dumps, izip
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from .scorer import Scorer
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from ._ml import link_vectors_to_models
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@ -102,7 +102,9 @@ class Language(object):
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'parser': lambda nlp, **cfg: DependencyParser(nlp.vocab, **cfg),
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'ner': lambda nlp, **cfg: EntityRecognizer(nlp.vocab, **cfg),
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'similarity': lambda nlp, **cfg: SimilarityHook(nlp.vocab, **cfg),
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'textcat': lambda nlp, **cfg: TextCategorizer(nlp.vocab, **cfg)
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'textcat': lambda nlp, **cfg: TextCategorizer(nlp.vocab, **cfg),
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'sbd': lambda nlp, **cfg: SentenceSegmenter(nlp.vocab, **cfg),
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'sentencizer': lambda nlp, **cfg: SentenceSegmenter(nlp.vocab, **cfg)
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}
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def __init__(self, vocab=True, make_doc=True, meta={}, **kwargs):
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