def get_score(text):
words = get_words(text)
max_senses = 1
for word in words:
for form in morph.parse(word):
normal_form = form.normal_form
if form.tag.POS == 'NOUN' and normal_form in senses:
max_senses = max(max_senses, len(senses[normal_form]))
return max_senses
def get_score(text):
words = get_words(text)
if len(words) == 0:
return 0
cnt = 0
for word in words:
for form in morph.parse(word):
if form.score < 0.1:
continue
if form.tag.POS in {'VERB', 'INFN', 'GRND', 'PRTF', 'PRTS'}:
cnt += 1
break
return 1.0 * cnt / len(words)
def get_score(text):
words = get_words(text)
if len(words) == 0:
return 0
cnt = 0
for word in words:
for form in morph.parse(word):
if form.score < 0.1:
continue
if form.tag.POS in {'ADJF', 'ADJS', 'COMP'}:
cnt += 1
break
return 1.0 * cnt / len(words)
def get_word_array(text):
array = []
for word in get_words(text):
all_forms = {}
for form in morph.parse(word):
if form.score < 0.1:
continue
normalized_word, score = get_pos_form(form.normal_form)
if normalized_word is not None and normalized_word in wv.vocab:
if normalized_word not in all_forms:
all_forms[normalized_word] = 0
all_forms[normalized_word] += score * form.score
if len(all_forms) != 0:
array.append((word, all_forms))
return array
