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