从nltk或其他NLP库中的副词获取形容词

从nltk或其他NLP库中的副词获取形容词

Wordnet中有一个关系，将反向连接

adjectives

到

adverbs

反向。

>>> from itertools import chain>>> from nltk.corpus import wordnet as wn>>> from difflib import get_close_matches as gcm>>> possible_adjectives = [k.name for k in chain(*[j.pertainyms() for j in chain(*[i.lemmas for i in wn.synsets('terribly')])])]['terrible', 'atrocious', 'awful', 'rotten']>>> gcm('terribly',possible_adjectives)['terrible']

一种更易

possible_adjective

理解的计算方式如下：

possible_adj = []for ss in wn.synsets('terribly'):  for lemmas in ss.lemmas: # all possible lemmas.    for lemma in lemmas:       for ps in lemma.pertainyms(): # all possible pertainyms.        for p in ps:          for ln in p.name: # all possible lemma names. possible_adj.append(ln)

编辑：在较新版本的NLTK中：

possible_adj = []for ss in wn.synsets('terribly'):  for lemmas in ss.lemmas(): # all possible lemmas      for ps in lemmas.pertainyms(): # all possible pertainyms          possible_adj.append(ps.name())