def codify_sentence(self, sentence):
        if self._converter is None:
            self.create_converter()
        return np.array([self.converter.convert(t) for t in sentence])
Parse a single unit term with zero or more multiplier prefixes and one unit
dataset/ETHPy150Open erickrf/nlpnet/nlpnet/reader.py/TaggerReader.codify_sentence--crossover with--dataset/ETHPy150Open vimeo/graph-explorer/graph_explorer/unitconv.py/parse_simple_unitname