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.