Stem2Word

>>> from nltk.corpus import wordnet as wn
>>> from nltk.stem import PorterStemmer
>>> from difflib import get_close_matches as gcm
>>> from itertools import chain
>>> dictionary = set(chain(*[i.lemma_names() for i in wn.all_synsets()]))
>>> len(dictionary)
148730
>>> porter = PorterStemmer()
>>> stemmed = porter.stem('force')
>>> gcm(stemmed, dictionary)
[u'force', u'formic', u'forced']
>>> gcm(stemmed, dictionary)[0]
u'force'