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pythonnltk

Is there a way to correctly remove the tense or plural from a word?

Is it possible to to change words like running, helping, cooks, finds and happily into run, help, cook, find and happy using nltk?

Solution

  • There are some stemming algorithms implemented in nltk. It looks like Lancaster stemming algorithm will work for you.

    >>> from nltk.stem.lancaster import LancasterStemmer
>>> st = LancasterStemmer()
>>> st.stem('happily')
'happy'
>>> st.stem('cooks')
'cook'
>>> st.stem('helping')
'help'
>>> st.stem('running')
'run'
>>> st.stem('finds')
'find'