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使用 PennTreeBank (ptb) 标记集,则只需使用 POS 标记中的第一个字符映射到 WN pos 标记。
WN POS 标记集包括“a”=形容词/副词、“s”=卫星形容词、“n”=名词和“v”=动词。
尝试:
>>> from nltk import word_tokenize, pos_tag
>>> from nltk.corpus import wordnet as wn
>>> text = 'this is a pos tagset in some foo bar paradigm'
>>> pos_tag(word_tokenize(text))
[('this', 'DT'), ('is', 'VBZ'), ('a', 'DT'), ('pos', 'NN'), ('tagset', 'NN'), ('in', 'IN'), ('some', 'DT'), ('foo', 'NN'), ('bar', 'NN'), ('paradigm', 'NN')]
>>> for tok, pos in pos_tag(word_tokenize(text)):
... pos = pos[0].lower()
... if pos in ['a', 'n', 'v']:
... wn.synsets(tok, pos)
...
[Synset('be.v.01'), Synset('be.v.02'), Synset('be.v.03'), Synset('exist.v.01'), Synset('be.v.05'), Synset('equal.v.01'), Synset('constitute.v.01'), Synset('be.v.08'), Synset('embody.v.02'), Synset('be.v.10'), Synset('be.v.11'), Synset('be.v.12'), Synset('cost.v.01')]
[Synset('polonium.n.01'), Synset('petty_officer.n.01'), Synset('po.n.03'), Synset('united_states_post_office.n.01')]
[]
[]
[Synset('barroom.n.01'), Synset('bar.n.02'), Synset('bar.n.03'), Synset('measure.n.07'), Synset('bar.n.05'), Synset('prevention.n.01'), Synset('bar.n.07'), Synset('bar.n.08'), Synset('legal_profession.n.01'), Synset('stripe.n.05'), Synset('cake.n.01'), Synset('browning_automatic_rifle.n.01'), Synset('bar.n.13'), Synset('bar.n.14'), Synset('bar.n.15')]
[Synset('paradigm.n.01'), Synset('prototype.n.01'), Synset('substitution_class.n.01'), Synset('paradigm.n.04')]