boxer.py 文件源码

def interpret_multi_sents(self, inputs, discourse_ids=None, question=False, verbose=False):
        """
        Use Boxer to give a first order representation.

        :param inputs: list of list of str Input discourses to parse
        :param occur_index: bool Should predicates be occurrence indexed?
        :param discourse_ids: list of str Identifiers to be inserted to each occurrence-indexed predicate.
        :return: ``drt.DrtExpression``
        """
        if discourse_ids is not None:
            assert len(inputs) == len(discourse_ids)
            assert reduce(operator.and_, (id is not None for id in discourse_ids))
            use_disc_id = True
        else:
            discourse_ids = list(map(str, range(len(inputs))))
            use_disc_id = False

        candc_out = self._call_candc(inputs, discourse_ids, question, verbose=verbose)
        boxer_out = self._call_boxer(candc_out, verbose=verbose)

#        if 'ERROR: input file contains no ccg/2 terms.' in boxer_out:
#            raise UnparseableInputException('Could not parse with candc: "%s"' % input_str)

        drs_dict = self._parse_to_drs_dict(boxer_out, use_disc_id)
        return [drs_dict.get(id, None) for id in discourse_ids]