for category in categories:
if not 'stopwords' in kwargs:
tokens = [w for w in brown.words(categories=category)]
else:
if kwargs['stopwords'] == 'english':
tokens = [w for w in brown.words(categories=category) if w not in FileOps.get_stopwords('stopwords.txt')]
token_count = len(tokens)
type_count = len(set(tokens))
diversity = "%.3f" % (type_count/token_count)
tmp = category.split('_')
category = ' '.join(tmp)
category_info = (category, token_count, type_count, diversity)
print(category_info)
corpus_info.append(category_info)
return corpus_info
if __name__ == "__main__":
<<<<<<< HEAD
=======
plurals_info = get_plurals_info(brown.categories())
FileOps.write_plurals_table(plurals_info)
>>>>>>> a4d8d09f16fdcb0d863e6b8683049a38be7be961
corpus_info = get_corpus_info(brown.categories())
stopwords_info = get_corpus_info(brown.categories(), stopwords='english')
FileOps.write_table(corpus_info, stopwords_info)
print_corpus_info(brown.categories(), FileOps.get_stopwords('stopwords.txt'))
