如何在Python中使用WordNet相似性Perl模块？

Question

I want to use perl modules from WordNet::Similarity package to calculate semantic relatedness(Hirst-St Onge, Lexical chains, etc.) between texts. Does anybody have idea about how to use them in python?

Answer 1

NLTK is the Python interface with WordNet .

Check out section 5 on this page for similarity. You will also have to install the module, the instructions for that are here .

Answer 2

You need to use nltk.wordnet.corpus. You should have a synset method available that will return what you need. Basically the wordnet corpus from nltk offers: words, synsets, lemmas, verb frames, similarity etc. You can check the extensive howto for nltk for code and approach samples.