オオノ　トモヒロ   Ohno Tomohiro   大野　誠寛    所属   東京電機大学  未来科学部 情報メディア学科    東京電機大学大学院  未来科学研究科 情報メディア学専攻    東京電機大学大学院  先端科学技術研究科 情報通信メディア工学専攻    職種   准教授
言語種別	英語
発行・発表の年月	2005/03
形態種別	学術研究論文
査読	査読有り
標題	Robust Dependency Parsing of Spontaneous Japanese Spoken Language
執筆形態	共著
掲載誌名	IEICE Transactions on Information and Systems
掲載区分	国内
巻・号・頁	E88-D(3),pp.545-552
著者・共著者	Tomohiro Ohno, Shigeki Matsubara, Nobuo Kawaguchi, Yasuyoshi Inagaki
概要	Spontaneously spoken Japanese includes a lot of grammatically ill-formed linguistic phenomena such as fillers, hesitations, inversions, and so on, which do not appear in written language. This paper proposes a novel method of robust dependency parsing using a large-scale spoken language corpus, and evaluates the availability and robustness of the method using spontaneously spoken dialogue sentences. By utilizing stochastic information about the appearance of ill-formed phenomena, the method can robustly parse spoken Japanese including fillers, inversions, or dependencies over utterance units. Experimental results reveal that the parsing accuracy reached 87.0%, and we confirmed that it is effective to utilize the location information of a bunsetsu, and the distance information between bunsetsus as stochastic information.