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* More docs
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@ -17,4 +17,4 @@ cdef class Lexeme:
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cdef readonly flag_t flags
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cdef readonly flag_t flags
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cpdef bint check_flag(self, size_t flag_id) except *
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cpdef bint check_flag(self, size_t flag_id) except *
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cpdef int set_flag(self, size_t flag_id) except -1
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cpdef unicode string_view(self, size_t view_id)
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@ -5,20 +5,17 @@
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from libc.stdlib cimport calloc, free, realloc
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from libc.stdlib cimport calloc, free, realloc
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cdef class Lexeme:
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cdef class Lexeme:
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"""A lexical type.
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"""A lexical type --- a word, punctuation symbol, whitespace sequence, etc
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keyed by a case-sensitive unicode string. All tokens with the same string,
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e.g. all instances of "dog", ",", "NASA" etc should be mapped to the same
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Lexeme.
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Clients should avoid instantiating Lexemes directly, and instead use get_lexeme
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You should avoid instantiating Lexemes directly, and instead use the
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from a language module, e.g. spacy.en.get_lexeme . This allows us to use only
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:py:meth:`space.lang.Language.tokenize` and :py:meth:`spacy.lang.Language.lookup`
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one Lexeme object per lexical type.
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methods on the global object exposed by the language you're working with,
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e.g. :py:data:`spacy.en.EN`.
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Attributes:
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Attributes:
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id (view_id_t):
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A unique ID of the word's string.
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Implemented as the memory-address of the string,
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as we use Python's string interning to guarantee that only one copy
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of each string is seen.
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string (unicode):
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string (unicode):
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The unicode string.
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The unicode string.
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@ -34,7 +31,7 @@ cdef class Lexeme:
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simple Good-Turing. Estimates are read from data/en/probabilities, and
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simple Good-Turing. Estimates are read from data/en/probabilities, and
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can be replaced using spacy.en.load_probabilities.
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can be replaced using spacy.en.load_probabilities.
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cluster (int):
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cluster (size_t):
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An integer representation of the word's Brown cluster.
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An integer representation of the word's Brown cluster.
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A Brown cluster is an address into a binary tree, which gives some (noisy)
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A Brown cluster is an address into a binary tree, which gives some (noisy)
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@ -62,18 +59,43 @@ cdef class Lexeme:
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for i, flag_feature in enumerate(flag_features):
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for i, flag_feature in enumerate(flag_features):
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if flag_feature(string, prob, case_stats, tag_stats):
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if flag_feature(string, prob, case_stats, tag_stats):
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self.set_flag(i)
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self.flags |= (1 << i)
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def __dealloc__(self):
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def __dealloc__(self):
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pass
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pass
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cpdef bint check_flag(self, size_t flag_id) except *:
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cpdef bint check_flag(self, size_t flag_id) except *:
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"""Access the value of one of the pre-computed boolean distribution features.
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"""Lexemes may store language-specific boolean features in a bit-field,
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with values accessed by providing an ID constant to this function.
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Meanings depend on the language-specific distributional features being loaded.
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The ID constants are exposed as global variables in the language module,
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The suggested features for latin-alphabet languages are: TODO
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e.g.
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>>> from spacy.en import EN
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>>> lexeme = EN.lookup(u'Nasa')
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>>> lexeme.check_flag(EN.IS_UPPER)
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False
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>>> lexeme.check_flag(EN.OFT_UPPER)
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True
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"""
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"""
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return self.flags & (1 << flag_id)
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return self.flags & (1 << flag_id)
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cpdef int set_flag(self, size_t flag_id) except -1:
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cpdef unicode string_view(self, size_t view_id):
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self.flags |= (1 << flag_id)
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"""Lexemes may store language-specific string-view features, obtained
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by transforming the string, possibly in light of distributional information.
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The string-view features are accessed by providing an ID constant to this
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function.
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The ID constants are exposed as global variables in the language module,
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e.g.
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>>> from spacy.en import EN
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>>> lexeme = EN.lookup(u'Nasa')
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>>> lexeme.string_view(EN.CANON_CASED)
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u'NASA'
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>>> lexeme.string_view(EN.SHAPE)
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u'Xxxx'
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>>> lexeme.string_view(EN.NON_SPARSE)
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u'Xxxx'
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"""
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return self.views[view_id]
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