ease/feature_extractor.py
def get_good_pos_ngrams(self):
        """
        Gets a set of gramatically correct part of speech sequences from an input file called essaycorpus.txt
        Returns the set and caches the file
        """
        if(os.path.isfile(NGRAM_PATH)):
            good_pos_ngrams = pickle.load(open(NGRAM_PATH, 'rb'))
        elif os.path.isfile(ESSAY_CORPUS_PATH):
            essay_corpus = open(ESSAY_CORPUS_PATH).read()
            essay_corpus = util_functions.sub_chars(essay_corpus)
            good_pos_ngrams = util_functions.regenerate_good_tokens(essay_corpus)
            pickle.dump(good_pos_ngrams, open(NGRAM_PATH, 'wb'))
        else:
            #Hard coded list in case the needed files cannot be found
            good_pos_ngrams=['NN PRP', 'NN PRP .', 'NN PRP . DT', 'PRP .', 'PRP . DT', 'PRP . DT NNP', '. DT',
             '. DT NNP', '. DT NNP NNP', 'DT NNP', 'DT NNP NNP', 'DT NNP NNP NNP', 'NNP NNP',
             'NNP NNP NNP', 'NNP NNP NNP NNP', 'NNP NNP NNP .', 'NNP NNP .', 'NNP NNP . TO',
             'NNP .', 'NNP . TO', 'NNP . TO NNP', '. TO', '. TO NNP', '. TO NNP NNP',
             'TO NNP', 'TO NNP NNP']

        return set(good_pos_ngrams)
def get_good_pos_ngrams(self):
        """
        Gets a set of gramatically correct part of speech sequences from an input file called essaycorpus.txt
        Returns the set and caches the file
        """
        if(os.path.isfile(NGRAM_PATH)):
            good_pos_ngrams = pickle.load(open(NGRAM_PATH, 'rb'))
        elif os.path.isfile(ESSAY_CORPUS_PATH):
            essay_corpus = open(ESSAY_CORPUS_PATH).read()
            essay_corpus = util_functions.sub_chars(essay_corpus)
            good_pos_ngrams = util_functions.regenerate_good_tokens(essay_corpus)
            pickle.dump(good_pos_ngrams, open(NGRAM_PATH, 'wb'))
        else:
            #Hard coded list in case the needed files cannot be found
            good_pos_ngrams=['NN PRP', 'NN PRP .', 'NN PRP . DT', 'PRP .', 'PRP . DT', 'PRP . DT NNP', '. DT',
             '. DT NNP', '. DT NNP NNP', 'DT NNP', 'DT NNP NNP', 'DT NNP NNP NNP', 'NNP NNP',
             'NNP NNP NNP', 'NNP NNP NNP NNP', 'NNP NNP NNP .', 'NNP NNP .', 'NNP NNP . TO',
             'NNP .', 'NNP . TO', 'NNP . TO NNP', '. TO', '. TO NNP', '. TO NNP NNP',
             'TO NNP', 'TO NNP NNP']

        return set(good_pos_ngrams)
def get_good_pos_ngrams ( self ) : if ( os . path . isfile ( NGRAM_PATH ) ) : good_pos_ngrams = pickle . load ( open ( NGRAM_PATH , 'rb' ) ) elif os . path . isfile ( ESSAY_CORPUS_PATH ) : essay_corpus = open ( ESSAY_CORPUS_PATH ) . read ( ) essay_corpus = util_functions . sub_chars ( essay_corpus ) good_pos_ngrams = util_functions . regenerate_good_tokens ( essay_corpus ) pickle . dump ( good_pos_ngrams , open ( NGRAM_PATH , 'wb' ) ) else : #Hard coded list in case the needed files cannot be found good_pos_ngrams = [ 'NN PRP' , 'NN PRP .' , 'NN PRP . DT' , 'PRP .' , 'PRP . DT' , 'PRP . DT NNP' , '. DT' , '. DT NNP' , '. DT NNP NNP' , 'DT NNP' , 'DT NNP NNP' , 'DT NNP NNP NNP' , 'NNP NNP' , 'NNP NNP NNP' , 'NNP NNP NNP NNP' , 'NNP NNP NNP .' , 'NNP NNP .' , 'NNP NNP . TO' , 'NNP .' , 'NNP . TO' , 'NNP . TO NNP' , '. TO' , '. TO NNP' , '. TO NNP NNP' , 'TO NNP' , 'TO NNP NNP' ] return set ( good_pos_ngrams )
Gets a set of gramatically correct part of speech sequences from an input file called essaycorpus.txt
        Returns the set and caches the file
Gets a set of gramatically correct part of speech sequences from an input file called essaycorpus . txt Returns the set and caches the file