python - 从 nltk 或其他 NLP 库中的副词获取形容词

Question

有没有办法在 NLTK 或其他 python 库中获取对应于给定副词的形容词。例如，对于副词“terribly”，我需要得到“terrible”。谢谢。

Answer 1

在 wordnet 中有一个关系将 adjectives 连接到 adverbs，反之亦然。

>>> 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']

计算possible_adjective 的更易读的方法如下:

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())