I am new to NLTK Python and i am looking for some sample application which can do word sense disambiguation. I have got a lot of algorithms in search results but not a sample application. I just want to pass a sentence and want to know the sense of each word by referring to wordnet library. Thanks
I have found a similar module in PERL. http://marimba.d.umn.edu/allwords/allwords.html Is there such module present in NLTK Python?
NLTK has apis to access Wordnet. Wordnet places words as synsets. This would give you some information on the word, its hypernyms, hyponyms, root word etc.
"Python Text Processing with NLTK 2.0 Cookbook" is a good book to get you started on various features of NLTK. It is easy to read, understand and implement.
Also, you can look at other papers(outside the realm of NLTK) which talks about using wikipedia for word sense disambiguation.
