spaCy/spacy/spacy.pyx

185 lines
6.0 KiB
Cython

# cython: profile=True
# cython: embedsignature=True
"""Common classes and utilities across languages.
Provides the main implementation for the spacy tokenizer. Specific languages
subclass the Language class, over-writing the tokenization rules as necessary.
Special-case tokenization rules are read from data/<lang>/tokenization .
"""
from __future__ import unicode_literals
from libc.stdlib cimport calloc, free
from libcpp.pair cimport pair
from cython.operator cimport dereference as deref
from spacy.lexeme cimport Lexeme
from spacy.lexeme cimport LexID
from . import util
from os import path
TAGS = {}
DIST_FLAGS = {}
cdef class Language:
def __cinit__(self, name):
self.name = name
self.bacov = {}
self.chunks = dense_hash_map[StringHash, size_t]()
self.vocab = dense_hash_map[StringHash, size_t]()
self.chunks.set_empty_key(0)
self.vocab.set_empty_key(0)
self.load_tokenization(util.read_tokenization(name))
self.load_dist_info(util.read_dist_info(name))
cpdef Tokens tokenize(self, unicode string):
"""Tokenize.
Split the string into tokens.
Args:
string (unicode): The string to split.
Returns:
tokens (Tokens): A Tokens object.
"""
cdef Lexeme** chunk
cdef Tokens tokens = Tokens(self)
cdef size_t length = len(string)
cdef size_t start = 0
cdef size_t i = 0
for c in string:
if _is_whitespace(c):
if start < i:
chunk = self.lookup_chunk(string[start:i])
_extend(tokens, chunk)
start = i + 1
i += 1
if start < i:
chunk = self.lookup_chunk(string[start:])
_extend(tokens, chunk)
return tokens
cdef Lexeme* lookup(self, unicode string) except NULL:
assert len(string) != 0
cdef Lexeme* word = <Lexeme*>self.vocab[hash(string)]
if word == NULL:
word = self.new_lexeme(string)
return word
cdef Lexeme** lookup_chunk(self, unicode string) except NULL:
cdef StringHash h = hash(string)
cdef Lexeme** chunk = <Lexeme**>self.chunks[h]
cdef int split
if chunk == NULL:
chunk = self.new_chunk(string, self.find_substrings(string))
return chunk
cdef Lexeme** new_chunk(self, unicode string, list substrings) except NULL:
cdef Lexeme** chunk = <Lexeme**>calloc(len(substrings) + 1, sizeof(Lexeme*))
for i, substring in enumerate(substrings):
chunk[i] = self.lookup(substring)
chunk[i + 1] = NULL
self.chunks[hash(string)] = <size_t>chunk
return chunk
cdef Lexeme* new_lexeme(self, unicode string) except NULL:
cdef Lexeme* word = <Lexeme*>calloc(1, sizeof(Lexeme))
cdef bytes byte_string = string.encode('utf8')
word.string = <char*>byte_string
word.length = len(byte_string)
self.set_orth(string, word)
word.lex = hash(string)
self.bacov[word.lex] = string
self.vocab[word.lex] = <LexID>word
return word
cpdef unicode unhash(self, StringHash hash_value):
'''Fetch a string from the reverse index, given its hash value.'''
return self.bacov[hash_value]
cpdef list find_substrings(self, unicode chunk):
"""Find how to split a chunk into substrings.
This method calls find_split repeatedly. Most languages will want to
override find_split, but it may be useful to override this instead.
Args:
chunk (unicode): The string to be split, e.g. u"Mike's!"
Returns:
substrings (list): The component substrings, e.g. [u"Mike", "'s", "!"].
"""
substrings = []
while chunk:
split = self.find_split(chunk)
if split == 0:
substrings.append(chunk)
break
substrings.append(chunk[:split])
chunk = chunk[split:]
return substrings
cdef int find_split(self, unicode word):
return len(word)
cdef int set_orth(self, unicode string, Lexeme* word):
pass
def load_tokenization(self, token_rules):
'''Load special-case tokenization rules.
Loads special-case tokenization rules into the Language.chunk cache,
read from data/<lang>/tokenization . The special cases are loaded before
any language data is tokenized, giving these priority. For instance,
the English tokenization rules map "ain't" to ["are", "not"].
Args:
token_rules (list): A list of (chunk, tokens) pairs, where chunk is
a string and tokens is a list of strings.
'''
for chunk, tokens in token_rules:
self.new_chunk(chunk, tokens)
def load_dist_info(self, dist_info):
'''Load distributional information for the known lexemes of the language.
The distributional information is read from data/<lang>/dist_info.json .
It contains information like the (smoothed) unigram log probability of
the word, how often the word is found upper-cased, how often the word
is found title-cased, etc.
'''
cdef unicode string
cdef dict word_dist
cdef Lexeme* w
for string, word_dist in dist_info.items():
w = self.lookup(string)
w.prob = word_dist.prob
w.cluster = word_dist.cluster
for flag in word_dist.flags:
w.dist_flags |= DIST_FLAGS[flag]
for tag in word_dist.tagdict:
w.possible_tags |= TAGS[tag]
cdef inline bint _is_whitespace(Py_UNICODE c) nogil:
if c == ' ':
return True
elif c == '\n':
return True
elif c == '\t':
return True
else:
return False
cdef inline int _extend(Tokens tokens, Lexeme** chunk) nogil:
cdef size_t i = 0
while chunk[i] != NULL:
tokens.vctr[0].push_back(<Lexeme_addr>chunk[i])
tokens.length += 1
i += 1