spaCy/spacy/morphology.pyx
2015-08-26 19:17:21 +02:00

130 lines
4.2 KiB
Cython

from os import path
try:
import ujson as json
except ImportError:
import json
from spacy.parts_of_speech import UNIV_POS_NAMES
cdef class Morphology:
def __init__(self, tag_map, fused_tokens, lemmatizer):
self.tag_map = tag_map
self.n_tags = len(tag_map)
self.tag_names = tuple(sorted(tag_map.keys()))
self.tag_ids = {}
for i, tag_str in enumerate(self.tag_names):
self.tag_ids[tag_str] = i
@classmethod
def from_dir(cls, data_dir):
tag_map = json.load(open(path.join(data_dir, 'tag_map.json')))
return cls(tag_map, {}, None)
cdef int assign_tag(self, TokenC* token, int tag) except -1:
props = self.tag_map[self.tag_names[tag]]
token.pos = UNIV_POS_NAMES[props['pos'].upper()]
token.tag = tag
#token.inflection = # TODO
cdef int assign_from_dict(self, TokenC* token, props) except -1:
pass
def load_morph_exceptions(self, dict exc):
pass
# Map (form, pos) to (lemma, inflection)
#cdef unicode pos_str
#cdef unicode form_str
#cdef unicode lemma_str
#cdef dict entries
#cdef dict props
#cdef int lemma
#cdef attr_t orth
#cdef int pos
#for pos_str, entries in exc.items():
# pos = self.tag_names.index(pos_str)
# for form_str, props in entries.items():
# lemma_str = props.get('L', form_str)
# orth = self.strings[form_str]
# cached = <InflectedLemma*>self.mem.alloc(1, sizeof(InflectedLemma))
# cached.lemma = self.strings[lemma_str]
# set_morph_from_dict(&cached.morph, props)
# self._morph_cache.set(pos, orth, <void*>cached)
#cdef int set_morph_from_dict(Morphology* morph, dict props) except -1:
# morph.number = props.get('number', 0)
# morph.tenspect = props.get('tenspect', 0)
# morph.mood = props.get('mood', 0)
# morph.gender = props.get('gender', 0)
# morph.person = props.get('person', 0)
# morph.case = props.get('case', 0)
# morph.misc = props.get('misc', 0)
#
#
#cdef class Morphology:
# cdef Pool mem
# cdef PreshMap table
#
# def __init__(self, tags, exceptions):
# pass
#
# def __getitem__(self, hash_t id_):
# pass
#
# cdef const InflectionC* get(self, hash_t key) except NULL:
# pass
#
# cdef MorphAnalysis analyse(const TokenC* token) except -1:
# cdef struct MorphAnalysis morphology
# tokens[i].pos = tag.pos
# cached = <_CachedMorph*>self._morph_cache.get(tag.id, tokens[i].lex.orth)
# if cached is NULL:
# cached = <_CachedMorph*>self.mem.alloc(1, sizeof(_CachedMorph))
# cached.lemma = self.lemmatize(tag.pos, tokens[i].lex)
# cached.morph = tag.morph
# self._morph_cache.set(tag.id, tokens[i].lex.orth, <void*>cached)
# tokens[i].lemma = cached.lemma
# tokens[i].morph = cached.morph
#
# cdef int lemmatize(self, const univ_pos_t pos, const LexemeC* lex) except -1:
# if self.lemmatizer is None:
# return lex.orth
# cdef unicode py_string = self.strings[lex.orth]
# if pos != NOUN and pos != VERB and pos != ADJ:
# return lex.orth
# cdef set lemma_strings
# cdef unicode lemma_string
# lemma_strings = self.lemmatizer(py_string, pos)
# lemma_string = sorted(lemma_strings)[0]
# lemma = self.strings[lemma_string]
# return lemma
#
#
#cdef class Inflection:
# cdef InflectionC* c
#
# def __init__(self, container, id_):
# self.c = container[id_]
# self.container = container
#
# for i, feat_id in enumerate(feat_ids):
# feature, value = parse_id(feat_id)
# self.add_value(feature, value, True)
#
# def has(self, Value_t feat_value_id):
# part = feat_value_id % 64
# bit = feat_value_id / 64
# if self.value_set[part] & bit:
# return True
# else:
# return False
#
# property pos: def __get__(self): return self.c.pos
#
# property id: def __get__(self): return self.c.id
#
# property features:
# pass