Extract different POS words for a given word in python nltk
NLTK has a lot of clever things hiding away, so there might be a direct way of doing it. However, I think you may have to write your own code to work with the WordNet database.
Is there any package in python nltk that can produce all different parts of speech words for a given word. For example if i give add(verb) then it must produce addition(noun),additive(adj) and so on. Can anyone let me know?