mirror of https://github.com/explosion/spaCy.git
* Use the symbols file in vocab instead of the symbols subfiles like attrs.pxd
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@ -20,7 +20,7 @@ from .cfile cimport CFile
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from .lemmatizer import Lemmatizer
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from . import attrs
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from . import parts_of_speech
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from . import symbols
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from cymem.cymem cimport Address
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from . import util
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@ -75,18 +75,9 @@ cdef class Vocab:
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# is the frequency rank of the word, plus a certain offset. The structural
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# strings are loaded first, because the vocab is open-class, and these
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# symbols are closed class.
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for name in attrs.NAMES:
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for name in symbols.NAMES + list(sorted(tag_map.keys())):
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if name:
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_ = self.strings[name]
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for name in parts_of_speech.NAMES:
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if name:
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_ = self.strings[name]
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#for morph_name in UNIV_MORPH_NAMES:
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# _ = self.strings[morph_name]
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#for entity_type_name in entity_types.NAMES:
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# _ = self.strings[entity_type_name]
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#for tag_name in sorted(tag_map.keys()):
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# _ = self.strings[tag_name]
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self.get_lex_attr = get_lex_attr
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self.morphology = Morphology(self.strings, tag_map, lemmatizer)
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self.serializer_freqs = serializer_freqs
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