nlp - Morphology software for English -

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in application need use piece of software able to: a) convert words basic forms , b) find if 'nouns', 'verbs' etc.

i found list of software able job.

http://aclweb.org/aclwiki/index.php?title=morphology_software_for_english

does have experience of these? 1 recommend?

you can use nltk (python) perform these tasks.

find if 'nouns', 'verbs'...

this task called part-of-speech tagging. can use nltk.pos_tag function. (see peen treebank tagset)

convert words basic forms

this task called lemmatization. can use nltk.stem.wordnet.wordnetlemmatizer.lemmatize function.

example 

import nltk nltk.stem.wordnet import wordnetlemmatizer nltk.corpus import wordnet wn  penn_to_wn = lambda penn_tag: {'nn':wn.noun,'jj':wn.adj,'vb':wn.verb,'rb':wn.adv}.get(penn_tag[:2], wn.noun)  sentence = "the rabbits eating in garden." tokens = nltk.word_tokenize(sentence) pos_tags = nltk.pos_tag(tokens) wl = wordnetlemmatizer() lemmas = [wl.lemmatize(token, pos=penn_to_wn(tag)) token, tag in pos_tags]

then if print results:

>>> tokens ['the', 'rabbits', 'are', 'eating', 'in', 'the', 'garden', '.']  >>> pos_tags [('the', 'dt'),  ('rabbits', 'nns'),  ('are', 'vbp'),  ('eating', 'vbg'),  ('in', 'in'),  ('the', 'dt'),  ('garden', 'nn'),  ('.', '.')]  >>> lemmas ['the', u'rabbit', u'be', u'eat', 'in', 'the', 'garden', '.']

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