mirror of https://github.com/explosion/spaCy.git
WIP on supporting morphology features
This commit is contained in:
Matthew Honnibal
parent
ac5742223a
commit
6ae645c4ef
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@ -1,48 +1,30 @@
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from cymem.cymem cimport Pool
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from preshed.maps cimport PreshMapArray
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from preshed.maps cimport PreshMap
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from libc.stdint cimport uint64_t
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from murmurhash cimport mrmr
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from .structs cimport TokenC
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from .strings cimport StringStore
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from .typedefs cimport attr_t, flags_t
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from .typedefs cimport hash_t, attr_t, flags_t
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from .parts_of_speech cimport univ_pos_t
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from . cimport symbols
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cdef struct RichTagC:
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uint64_t morph
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int id
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univ_pos_t pos
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attr_t name
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cdef struct MorphAnalysisC:
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RichTagC tag
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attr_t lemma
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cdef class Morphology:
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cdef readonly Pool mem
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cdef readonly StringStore strings
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cdef PreshMap tags # Keyed by hash, value is pointer to tag
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cdef public object lemmatizer
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cdef readonly object tag_map
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cdef public object n_tags
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cdef public object reverse_index
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cdef public object tag_names
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cdef public object exc
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cdef RichTagC* rich_tags
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cdef PreshMapArray _cache
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cdef hash_t insert(self, RichTagC tag) except 0
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cdef int assign_untagged(self, TokenC* token) except -1
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cdef int assign_tag(self, TokenC* token, tag) except -1
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cdef int assign_tag_id(self, TokenC* token, int tag_id) except -1
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cdef int assign_feature(self, uint64_t* morph, univ_morph_t feat_id, bint value) except -1
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cdef update_token_morph(self, TokenC* token, features)
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cdef set_token_morph(self, TokenC* token, pos, features)
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cdef enum univ_morph_t:
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NIL = 0
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@ -298,4 +280,47 @@ cdef enum univ_morph_t:
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VerbType_mod # U
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VerbType_light # U
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cdef struct RichTagC:
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univ_pos_t pos
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univ_morph_t abbr
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univ_morph_t adp_type
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univ_morph_t adv_type
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univ_morph_t animacy
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univ_morph_t aspect
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univ_morph_t case
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univ_morph_t conj_type
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univ_morph_t connegative
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univ_morph_t definite
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univ_morph_t degree
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univ_morph_t derivation
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univ_morph_t echo
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univ_morph_t foreign
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univ_morph_t gender
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univ_morph_t hyph
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univ_morph_t inf_form
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univ_morph_t mood
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univ_morph_t negative
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univ_morph_t number
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univ_morph_t name_type
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univ_morph_t num_form
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univ_morph_t num_type
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univ_morph_t num_value
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univ_morph_t part_form
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univ_morph_t part_type
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univ_morph_t person
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univ_morph_t polite
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univ_morph_t polarity
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univ_morph_t poss
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univ_morph_t prefix
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univ_morph_t prep_case
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univ_morph_t pron_type
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univ_morph_t punct_side
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univ_morph_t punct_type
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univ_morph_t reflex
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univ_morph_t style
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univ_morph_t style_variant
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univ_morph_t tense
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univ_morph_t verb_form
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univ_morph_t voice
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univ_morph_t verb_type
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@ -3,6 +3,7 @@
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from __future__ import unicode_literals
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from libc.string cimport memset
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import ujson as json
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from .attrs cimport POS, IS_SPACE
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from .attrs import LEMMA, intify_attrs
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@ -12,6 +13,7 @@ from .lexeme cimport Lexeme
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from .errors import Errors
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def _normalize_props(props):
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"""Transform deprecated string keys to correct names."""
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out = {}
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@ -32,9 +34,17 @@ def _normalize_props(props):
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cdef class Morphology:
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'''Store the possible morphological analyses for a language, and index them
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by hash.
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To save space on each token, tokens only know the hash of their morphological
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analysis, so queries of morphological attributes are delegated
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to this class.
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'''
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def __init__(self, StringStore string_store, tag_map, lemmatizer, exc=None):
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self.mem = Pool()
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self.strings = string_store
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self.tags = PreshMap()
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# Add special space symbol. We prefix with underscore, to make sure it
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# always sorts to the end.
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space_attrs = tag_map.get('SP', {POS: SPACE})
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@ -47,32 +57,46 @@ cdef class Morphology:
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self.lemmatizer = lemmatizer
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self.n_tags = len(tag_map)
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self.reverse_index = {}
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self.rich_tags = <RichTagC*>self.mem.alloc(self.n_tags+1, sizeof(RichTagC))
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for i, (tag_str, attrs) in enumerate(sorted(tag_map.items())):
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self.strings.add(tag_str)
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self.tag_map[tag_str] = dict(attrs)
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attrs = _normalize_props(attrs)
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attrs = intify_attrs(attrs, self.strings, _do_deprecated=True)
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self.rich_tags[i].id = i
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self.rich_tags[i].name = self.strings.add(tag_str)
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self.rich_tags[i].morph = 0
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self.rich_tags[i].pos = attrs[POS]
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self.reverse_index[self.rich_tags[i].name] = i
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# Add a 'null' tag, which we can reference when assign morphology to
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# untagged tokens.
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self.rich_tags[self.n_tags].id = self.n_tags
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self.reverse_index[i] = self.strings.add(tag_str)
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self._cache = PreshMapArray(self.n_tags)
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self.exc = {}
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if exc is not None:
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for (tag_str, orth_str), attrs in exc.items():
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self.add_special_case(tag_str, orth_str, attrs)
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def add(self, features):
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"""Insert a morphological analysis in the morphology table, if not already
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present. Returns the hash of the new analysis.
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"""
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features = intify_features(self.strings, features)
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cdef RichTagC tag = create_rich_tag(features)
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cdef hash_t key = self.insert(tag)
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return key
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def __reduce__(self):
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return (Morphology, (self.strings, self.tag_map, self.lemmatizer,
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self.exc), None, None)
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def lemmatize(self, const univ_pos_t univ_pos, attr_t orth, morphology):
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if orth not in self.strings:
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return orth
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cdef unicode py_string = self.strings[orth]
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if self.lemmatizer is None:
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return self.strings.add(py_string.lower())
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cdef list lemma_strings
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cdef unicode lemma_string
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lemma_strings = self.lemmatizer(py_string, univ_pos, morphology)
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lemma_string = lemma_strings[0]
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lemma = self.strings.add(lemma_string)
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return lemma
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cdef hash_t insert(self, RichTagC tag) except 0:
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cdef hash_t key = hash_tag(tag)
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if self.tags.get(key) == NULL:
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tag_ptr = <RichTagC*>self.mem.alloc(1, sizeof(RichTagC))
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tag_ptr[0] = tag
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self.tags.set(key, <void*>tag_ptr)
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return key
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cdef int assign_untagged(self, TokenC* token) except -1:
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"""Set morphological attributes on a token without a POS tag. Uses
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the lemmatizer's lookup() method, which looks up the string in the
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@ -101,84 +125,284 @@ cdef class Morphology:
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# figure out why the statistical model fails. Related to Issue #220
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if Lexeme.c_check_flag(token.lex, IS_SPACE):
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tag_id = self.reverse_index[self.strings.add('_SP')]
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rich_tag = self.rich_tags[tag_id]
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analysis = <MorphAnalysisC*>self._cache.get(tag_id, token.lex.orth)
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if analysis is NULL:
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analysis = <MorphAnalysisC*>self.mem.alloc(1, sizeof(MorphAnalysisC))
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tag_str = self.strings[self.rich_tags[tag_id].name]
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analysis.tag = rich_tag
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analysis.lemma = self.lemmatize(analysis.tag.pos, token.lex.orth,
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self.tag_map.get(tag_str, {}))
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self._cache.set(tag_id, token.lex.orth, analysis)
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token.lemma = analysis.lemma
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token.pos = analysis.tag.pos
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token.tag = analysis.tag.name
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token.morph = analysis.tag.morph
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lemma = <attr_t>self._cache.get(tag_id, token.lex.orth)
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if lemma == 0:
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tag_str = self.tag_names[tag_id]
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features = dict(self.tag_map.get(tag_str, {}))
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pos = self.strings.as_int(features.pop('POS'))
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lemma = self.lemmatize(pos, token.lex.orth, features)
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self._cache.set(tag_id, token.lex.orth, lemma)
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token.lemma = lemma
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token.pos = pos
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token.tag = self.strings[tag_str]
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token.morph = self.add(attrs)
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cdef int assign_feature(self, uint64_t* flags, univ_morph_t flag_id, bint value) except -1:
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cdef flags_t one = 1
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if value:
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flags[0] |= one << flag_id
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else:
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flags[0] &= ~(one << flag_id)
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cdef update_morph(self, hash_t morph, features):
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"""Update a morphological analysis with new feature values."""
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tag = (<RichTagC*>self.tags.get(morph))[0]
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cdef univ_morph_t feature
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cdef int value
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for feature_, value in features.items():
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feature = self.strings.as_int(feature_)
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set_feature(&tag, feature, 1)
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morph = self.insert_tag(tag)
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return morph
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def add_special_case(self, unicode tag_str, unicode orth_str, attrs,
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force=False):
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"""Add a special-case rule to the morphological analyser. Tokens whose
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tag and orth match the rule will receive the specified properties.
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def to_bytes(self):
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json_tags = []
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for key in self.tags:
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tag_ptr = <RichTagC*>self.tags.get(key)
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if tag_ptr != NULL:
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json_tags.append(tag_to_json(tag_ptr[0]))
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raise json.dumps(json_tags)
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tag (unicode): The part-of-speech tag to key the exception.
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orth (unicode): The word-form to key the exception.
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"""
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# TODO: Currently we've assumed that we know the number of tags --
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# RichTagC is an array, and _cache is a PreshMapArray
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# This is really bad: it makes the morphology typed to the tagger
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# classes, which is all wrong.
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self.exc[(tag_str, orth_str)] = dict(attrs)
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tag = self.strings.add(tag_str)
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if tag not in self.reverse_index:
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return
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tag_id = self.reverse_index[tag]
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orth = self.strings[orth_str]
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cdef RichTagC rich_tag = self.rich_tags[tag_id]
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attrs = intify_attrs(attrs, self.strings, _do_deprecated=True)
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cached = <MorphAnalysisC*>self._cache.get(tag_id, orth)
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if cached is NULL:
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cached = <MorphAnalysisC*>self.mem.alloc(1, sizeof(MorphAnalysisC))
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elif force:
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memset(cached, 0, sizeof(cached[0]))
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else:
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raise ValueError(Errors.E015.format(tag=tag_str, orth=orth_str))
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def from_bytes(self, byte_string):
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raise NotImplementedError
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cached.tag = rich_tag
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# TODO: Refactor this to take arbitrary attributes.
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for name_id, value_id in attrs.items():
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if name_id == LEMMA:
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cached.lemma = value_id
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else:
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self.assign_feature(&cached.tag.morph, name_id, value_id)
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if cached.lemma == 0:
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cached.lemma = self.lemmatize(rich_tag.pos, orth, attrs)
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self._cache.set(tag_id, orth, <void*>cached)
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def to_disk(self, path):
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raise NotImplementedError
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def from_disk(self, path):
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raise NotImplementedError
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cpdef univ_pos_t get_int_tag(pos_):
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return <univ_pos_t>0
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cpdef intify_features(StringStore strings, features):
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return {strings.as_int(feature) for feature in features}
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cdef hash_t hash_tag(RichTagC tag) nogil:
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return mrmr.hash64(&tag, sizeof(tag), 0)
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cdef RichTagC create_rich_tag(pos_, features):
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cdef RichTagC tag
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cdef univ_morph_t feature
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tag.pos = get_int_tag(pos_)
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for feature in features:
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set_feature(&tag, feature, 1)
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return tag
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cdef tag_to_json(RichTagC tag):
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return {}
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cdef RichTagC tag_from_json(json_tag):
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cdef RichTagC tag
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return tag
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cdef int set_feature(RichTagC* tag, univ_morph_t feature, int value) nogil:
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if value == True:
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value_ = feature
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else:
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value_ = NIL
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if feature == NIL:
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pass
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if is_abbr_feature(feature):
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tag.abbr = value_
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elif is_adp_type_feature(feature):
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tag.adp_type = value_
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elif is_adv_type_feature(feature):
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tag.adv_type = value_
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elif is_animacy_feature(feature):
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tag.animacy = value_
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elif is_aspect_feature(feature):
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tag.aspect = value_
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elif is_case_feature(feature):
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tag.case = value_
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elif is_conj_type_feature(feature):
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tag.conj_type = value_
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elif is_connegative_feature(feature):
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tag.connegative = value_
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elif is_definite_feature(feature):
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tag.definite = value_
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elif is_degree_feature(feature):
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tag.degree = value_
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elif is_derivation_feature(feature):
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tag.derivation = value_
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elif is_echo_feature(feature):
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tag.echo = value_
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elif is_foreign_feature(feature):
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tag.foreign = value_
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elif is_gender_feature(feature):
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tag.gender = value_
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elif is_hyph_feature(feature):
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tag.hyph = value_
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elif is_inf_form_feature(feature):
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tag.inf_form = value_
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elif is_mood_feature(feature):
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tag.mood = value_
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elif is_negative_feature(feature):
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tag.negative = value_
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elif is_number_feature(feature):
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tag.number = value_
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elif is_name_type_feature(feature):
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tag.name_type = value_
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elif is_num_form_feature(feature):
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tag.num_form = value_
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elif is_num_value_feature(feature):
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tag.num_value = value_
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elif is_part_form_feature(feature):
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tag.part_form = value_
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elif is_part_type_feature(feature):
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tag.part_type = value_
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elif is_person_feature(feature):
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tag.person = value_
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elif is_polite_feature(feature):
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tag.polite = value_
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elif is_polarity_feature(feature):
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tag.polarity = value_
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elif is_poss_feature(feature):
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tag.poss = value_
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elif is_prefix_feature(feature):
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tag.prefix = value_
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elif is_prep_case_feature(feature):
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tag.prep_case = value_
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elif is_pron_type_feature(feature):
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tag.pron_type = value_
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elif is_punct_side_feature(feature):
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tag.punct_type = value_
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elif is_reflex_feature(feature):
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tag.reflex = value_
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elif is_style_feature(feature):
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tag.style = value_
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elif is_style_variant_feature(feature):
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tag.style_variant = value_
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elif is_tense_feature(feature):
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tag.tense = value_
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elif is_verb_form_feature(feature):
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tag.verb_form = value_
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elif is_voice_feature(feature):
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tag.voice = value_
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elif is_verb_type_feature(feature):
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tag.verb_type = value_
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else:
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with gil:
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raise ValueError("Unknown feature: %d" % feature)
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cdef int is_abbr_feature(univ_morph_t abbr) nogil:
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return 0
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cdef int is_adp_type_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_adv_type_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_animacy_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_aspect_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_case_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_conj_type_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_connegative_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_definite_feature(univ_morph_t feature) nogil:
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return 0
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cdef int is_degree_feature(univ_morph_t feature) nogil:
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return 0
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|
||||
cdef int is_derivation_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_echo_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_foreign_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_gender_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_hyph_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_inf_form_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_mood_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_negative_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_number_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_name_type_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_num_form_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_num_type_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_num_value_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_part_form_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_part_type_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_person_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_polite_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_polarity_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_poss_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_prefix_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_prep_case_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_pron_type_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_punct_side_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_punct_type_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_reflex_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_style_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_style_variant_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_tense_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_verb_form_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_voice_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
cdef int is_verb_type_feature(univ_morph_t feature) nogil:
|
||||
return 0
|
||||
|
||||
def load_morph_exceptions(self, dict exc):
|
||||
# Map (form, pos) to (lemma, rich tag)
|
||||
for tag_str, entries in exc.items():
|
||||
for form_str, attrs in entries.items():
|
||||
self.add_special_case(tag_str, form_str, attrs)
|
||||
|
||||
def lemmatize(self, const univ_pos_t univ_pos, attr_t orth, morphology):
|
||||
if orth not in self.strings:
|
||||
return orth
|
||||
cdef unicode py_string = self.strings[orth]
|
||||
if self.lemmatizer is None:
|
||||
return self.strings.add(py_string.lower())
|
||||
cdef list lemma_strings
|
||||
cdef unicode lemma_string
|
||||
lemma_strings = self.lemmatizer(py_string, univ_pos, morphology)
|
||||
lemma_string = lemma_strings[0]
|
||||
lemma = self.strings.add(lemma_string)
|
||||
return lemma
|
||||
|
||||
|
||||
IDS = {
|
||||
|
|
|
|||
Loading…
Reference in New Issue