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* Adapt POS tagger decision-memory for use in parser
This commit is contained in:
Matthew Honnibal
parent
809ddf7887
commit
033d6c9ac2
110
spacy/index.pyx
110
spacy/index.pyx
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@ -10,6 +10,7 @@ from .tokens cimport TokenC
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from .typedefs cimport hash_t
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from preshed.maps cimport MapStruct, Cell, map_get, map_set, map_init
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from murmurhash.mrmr cimport hash64
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cdef class Index:
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@ -34,94 +35,75 @@ cdef class Index:
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self.counts.push_back(doc_counts)
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cdef class PosMemory:
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def __init__(self, tag_names):
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self.tag_names = tag_names
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self.nr_tags = len(tag_names)
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cdef class DecisionMemory:
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def __init__(self, class_names):
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self.class_names = class_names
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self.n_classes = len(class_names)
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self.mem = Pool()
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self._counts = PreshCounter()
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self._pos_counts = PreshCounter()
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self._class_counts = PreshCounter()
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def __getitem__(self, ids):
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cdef id_t[2] ngram
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ngram[0] = ids[0]
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ngram[1] = ids[1]
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cdef hash_t ngram_key = hash64(ngram, 2 * sizeof(id_t), 0)
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cdef hash_t[2] pos_context
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pos_context[0] = ngram_key
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cdef id_t[2] context
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context[0] = context[0]
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context[1] = context[1]
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cdef hash_t context_key = hash64(context, 2 * sizeof(id_t), 0)
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cdef hash_t[2] class_context
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class_context[0] = context_key
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counts = {}
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cdef id_t i
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for i, tag in enumerate(self.tag_names):
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pos_context[1] = <hash_t>i
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key = hash64(pos_context, sizeof(hash_t) * 2, 0)
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count = self._pos_counts[key]
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counts[tag] = count
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for i, clas in enumerate(self.clas_names):
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class_context[1] = <hash_t>i
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key = hash64(class_context, sizeof(hash_t) * 2, 0)
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count = self._class_counts[key]
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counts[clas] = count
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return counts
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@cython.cdivision(True)
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def iter_ngrams(self, float min_acc=0.99, count_t min_freq=10):
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cdef Address counts_addr = Address(self.nr_tags, sizeof(count_t))
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def iter_contexts(self, float min_acc=0.99, count_t min_freq=10):
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cdef Address counts_addr = Address(self.n_classes, sizeof(count_t))
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cdef count_t* counts = <count_t*>counts_addr.ptr
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cdef MapStruct* ngram_counts = self._counts.c_map
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cdef hash_t ngram_key
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cdef count_t ngram_freq
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cdef int best_pos
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cdef MapStruct* context_counts = self._counts.c_map
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cdef hash_t context_key
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cdef count_t context_freq
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cdef int best_class
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cdef float acc
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cdef int i
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for i in range(ngram_counts.length):
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ngram_key = ngram_counts.cells[i].key
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ngram_freq = <count_t>ngram_counts.cells[i].value
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if ngram_key != 0 and ngram_freq >= min_freq:
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best_pos = self.find_best_pos(counts, ngram_key)
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acc = counts[best_pos] / ngram_freq
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for i in range(context_counts.length):
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context_key = context_counts.cells[i].key
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context_freq = <count_t>context_counts.cells[i].value
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if context_key != 0 and context_freq >= min_freq:
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best_class = self.find_best_class(counts, context_key)
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acc = counts[best_class] / context_freq
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if acc >= min_acc:
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yield counts[best_pos], ngram_key, best_pos
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yield counts[best_class], context_key, best_class
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cpdef int count(self, Tokens tokens) except -1:
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cdef int i
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cdef TokenC* t
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for i in range(tokens.length):
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t = &tokens.data[i]
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if t.lex.prob != 0 and t.lex.prob >= -14:
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self.inc(t, 1)
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cdef int inc(self, hash_t context_key, hash_t clas, count_t inc) except -1:
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cdef hash_t context_and_class_key
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cdef hash_t[2] context_and_class
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context_and_class[0] = context_key
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context_and_class[1] = clas
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context_and_class_key = hash64(context_and_class, 2 * sizeof(hash_t), 0)
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self._counts.inc(context_key, inc)
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self._class_counts.inc(context_and_class_key, inc)
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cdef int inc(self, TokenC* word, count_t inc) except -1:
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cdef hash_t[2] ngram_pos_context
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cdef hash_t ngram_key = self._ngram_key(word)
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ngram_pos_context[0] = ngram_key
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ngram_pos_context[1] = <hash_t>word.pos
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ngram_pos_key = hash64(ngram_pos_context, 2 * sizeof(hash_t), 0)
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self._counts.inc(ngram_key, inc)
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self._pos_counts.inc(ngram_pos_key, inc)
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cdef int find_best_pos(self, count_t* counts, hash_t ngram_key) except -1:
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cdef int find_best_class(self, count_t* counts, hash_t context_key) except -1:
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cdef hash_t[2] unhashed_key
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unhashed_key[0] = ngram_key
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unhashed_key[0] = context_key
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cdef count_t total = 0
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cdef hash_t key
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cdef int pos
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cdef int clas
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cdef int best
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cdef int mode = 0
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for pos in range(self.nr_tags):
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unhashed_key[1] = <hash_t>pos
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for clas in range(self.n_classes):
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unhashed_key[1] = <hash_t>clas
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key = hash64(unhashed_key, sizeof(hash_t) * 2, 0)
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count = self._pos_counts[key]
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counts[pos] = count
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count = self._class_counts[key]
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counts[clas] = count
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if count >= mode:
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mode = count
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best = pos
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best = clas
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total += count
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return best
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cdef count_t ngram_count(self, TokenC* word) except -1:
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cdef hash_t ngram_key = self._ngram_key(word)
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return self._counts[ngram_key]
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cdef hash_t _ngram_key(self, TokenC* word) except 0:
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cdef id_t[2] context
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context[0] = word.lex.sic
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context[1] = word[-1].lex.sic
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return hash64(context, sizeof(id_t) * 2, 0)
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