Parsing Japanese Utterance with Self-repair

T. Harano, Y. Sagawa, and N. Sugie (Japan)


selfrepair, Japanese utterance, parsing, morphological analysis


In spontaneous speech, speakers make many kinds of mistakes. Human listener can guess the intended meaning of the utterance even if it includes ill-formedness. However, the previous natural language processing systems including the spoken dialogue systems cannot cope with ill-formed utterances, and they have no flexibility like human. Conventional parsing systems also cannot cope with ill-formed sentences mostly. We aim to construct a parsing system that can cope with self-repairs, one of typical and frequent ill-formedness. In this paper, we propose the grammatical rule based on the analysis of characteristics of sentences including self-repairs, and evaluate its effectiveness.

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