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hailiang-wanghailiang-wang
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Merge branch 'master' of github.com:huyingxi/Synonyms
2 parents ae69e67 + eaf2d16 commit 86e24d5

2 files changed

Lines changed: 82 additions & 10 deletions

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‎synonyms/data/stopwords.txt‎

Lines changed: 70 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1595,4 +1595,73 @@
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非特
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非独
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高兴
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若果
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若果
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·
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~
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-
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——
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=
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+
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【
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{
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}
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】
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、
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|
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；
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：
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‘
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’
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“
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”
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，
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《
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。
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》
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/
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？
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*
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！
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@
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#
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￥
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%
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……
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&
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（
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）
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`
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~
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!
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@
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#
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$
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%
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^
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&
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(
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)
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[
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]
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|
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\
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;
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:
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'
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"
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,
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<
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.
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>
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/
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0
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‎synonyms/synonyms.py‎

Lines changed: 12 additions & 9 deletions
Original file line numberDiff line numberDiff line change
@@ -134,7 +134,7 @@ def _load_w2v(model_file=_f_model, binary=True):
134134
print(">> Synonyms on loading vectors [%s] ..." % _f_model)
135135
_vectors = _load_w2v(model_file=_f_model)
136136

137-
def _get_wv(sentence):
137+
def _get_wv(sentence, ignore=False):
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'''
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get word2vec data by sentence
140140
sentence is segmented string.
@@ -151,10 +151,13 @@ def _get_wv(sentence):
151151
try:
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c.append(_vectors.word_vec(y_))
153153
except KeyError as error:
154-
logging.warn("not exist in w2v model: %s" % y_)
155-
# c.append(np.zeros((100,), dtype=float))
156-
random_state = np.random.RandomState(seed=(hash(y_) % (2**32 - 1)))
157-
c.append(random_state.uniform(low=-10.0, high=10.0, size=(100,)))
154+
if ignore:
155+
continue
156+
else:
157+
logging.warning("not exist in w2v model: %s" % y_)
158+
# c.append(np.zeros((100,), dtype=float))
159+
random_state = np.random.RandomState(seed=(hash(y_) % (2**32 - 1)))
160+
c.append(random_state.uniform(low=-10.0, high=10.0, size=(100,)))
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for n in syns:
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if n is None: continue
160163
try:
@@ -223,13 +226,13 @@ def _nearby_levenshtein_distance(s1, s2):
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s = np.sum(scores) / maxlen
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return s
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226-
def _similarity_distance(s1, s2):
229+
def _similarity_distance(s1, s2, ignore):
227230
'''
228231
compute similarity with distance measurement
229232
'''
230233
g = 0.0
231234
try:
232-
g_ = cosine(_flat_sum_array(_get_wv(s1)), _flat_sum_array(_get_wv(s2)))
235+
g_ = cosine(_flat_sum_array(_get_wv(s1, ignore)), _flat_sum_array(_get_wv(s2, ignore)))
233236
if is_digit(g_): g = g_
234237
except: pass
235238

@@ -275,7 +278,7 @@ def nearby(word):
275278
_cache_nearby[w] = (words, scores)
276279
return words, scores
277280

278-
def compare(s1, s2, seg=True):
281+
def compare(s1, s2, seg=True, ignore=False):
279282
'''
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compare similarity
281284
s1 : sentence1
@@ -291,7 +294,7 @@ def compare(s1, s2, seg=True):
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s1 = s1.split()
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s2 = s2.split()
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assert len(s1) > 0 and len(s2) > 0, "The length of s1 and s2 should > 0."
294-
return _similarity_distance(s1, s2)
297+
return _similarity_distance(s1, s2, ignore)
295298

296299
def display(word):
297300
print("'%s'近义词：" % word)

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