0a37dea8cd7bc8d533ee971cb6fc5ec59537f4b7,pliers/extractors/text.py,PartOfSpeechExtractor,_extract,#PartOfSpeechExtractor#Any#,182

Before Change

        data = {}
        onsets = []
        durations = []
        for i, w in enumerate(stim):
            p = pos[i][1]
            if p not in data:
                data[p] = [0] * len(words)
            data[p][i] += 1
            onsets.append(w.onset)
            durations.append(w.duration)

        return ExtractorResult(np.array(list(data.values())).transpose(),
                               stim, self, features=list(data.keys()),
                               onsets=onsets, durations=durations)

After Change

                "returned by nltk"s part-of-speech tagger.")

        results = []
        tagset = nltk.data.load("help/tagsets/upenn_tagset.pickle").keys()
        for i, s in enumerate(stims):
            pos_vector = [0] * len(tagset)
            pos_vector[tagset.index(pos[i][1])] = 1
            results.append(ExtractorResult([pos_vector], s, self,

Instances