mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-11 04:08:09 +03:00
81 lines
3.0 KiB
Cython
81 lines
3.0 KiB
Cython
# cython: profile=True
|
|
# cython: embedsignature=True
|
|
|
|
from .lexeme cimport lexeme_get_string
|
|
from .lexeme cimport lexeme_check_orth_flag, lexeme_check_dist_flag
|
|
|
|
from .lexeme cimport *
|
|
|
|
|
|
cdef class Lexeme:
|
|
"""A lexical type --- a word, punctuation symbol, whitespace sequence, etc
|
|
keyed by a case-sensitive unicode string. All tokens with the same string,
|
|
e.g. all instances of "dog", ",", "NASA" etc should be mapped to the same
|
|
Lexeme.
|
|
|
|
You should avoid instantiating Lexemes directly, and instead use the
|
|
:py:meth:`space.lang.Language.tokenize` and :py:meth:`spacy.lang.Language.lookup`
|
|
methods on the global object exposed by the language you're working with,
|
|
e.g. :py:data:`spacy.en.EN`.
|
|
|
|
Attributes:
|
|
string (unicode):
|
|
The unicode string.
|
|
|
|
Implemented as a property; relatively expensive.
|
|
|
|
length (size_t):
|
|
The number of unicode code-points in the string.
|
|
|
|
prob (double):
|
|
An estimate of the word's unigram log probability.
|
|
|
|
Probabilities are calculated from a large text corpus, and smoothed using
|
|
simple Good-Turing. Estimates are read from data/en/probabilities, and
|
|
can be replaced using spacy.en.load_probabilities.
|
|
|
|
cluster (size_t):
|
|
An integer representation of the word's Brown cluster.
|
|
|
|
A Brown cluster is an address into a binary tree, which gives some (noisy)
|
|
information about the word's distributional context.
|
|
|
|
>>> strings = (u'pineapple', u'apple', u'dapple', u'scalable')
|
|
>>> print ["{0:b"} % lookup(s).cluster for s in strings]
|
|
["100111110110", "100111100100", "01010111011001", "100111110110"]
|
|
|
|
The clusterings are unideal, but often slightly useful.
|
|
"pineapple" and "apple" share a long prefix, indicating a similar meaning,
|
|
while "dapple" is totally different. On the other hand, "scalable" receives
|
|
the same cluster ID as "pineapple", which is not what we'd like.
|
|
"""
|
|
def __cinit__(self, size_t lexeme_addr):
|
|
self._c = <LexemeC*>lexeme_addr
|
|
|
|
property string:
|
|
def __get__(self):
|
|
cdef bytes utf8_string = self._c.strings[<int>LexStr_orig]
|
|
cdef unicode string = utf8_string.decode('utf8')
|
|
return string
|
|
|
|
property prob:
|
|
def __get__(self):
|
|
return self._c.floats[<int>LexFloat_prob]
|
|
|
|
property cluster:
|
|
def __get__(self):
|
|
return self._c.ints[<int>LexInt_cluster]
|
|
|
|
property length:
|
|
def __get__(self):
|
|
return self._c.ints[<int>LexInt_length]
|
|
|
|
cpdef bint check_orth_flag(self, size_t flag_id) except *:
|
|
return lexeme_check_orth_flag(self._c, flag_id)
|
|
|
|
cpdef bint check_dist_flag(self, size_t flag_id) except *:
|
|
return lexeme_check_dist_flag(self._c, flag_id)
|
|
|
|
cpdef unicode string_view(self, size_t view_id):
|
|
return lexeme_get_string(self._c, view_id)
|