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SPIRAL CONSTRUCTION OF SYNTACTICALLY ANNOTATED SPOKEN LANGUAGE CORPUS
http://hdl.handle.net/2237/15085
http://hdl.handle.net/2237/15085b17934ff-b994-45b9-87ae-329db01d7aa7
名前 / ファイル | ライセンス | アクション |
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NLPKE2003_ohno.pdf (269.5 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2011-07-20 | |||||
タイトル | ||||||
タイトル | SPIRAL CONSTRUCTION OF SYNTACTICALLY ANNOTATED SPOKEN LANGUAGE CORPUS | |||||
言語 | en | |||||
著者 |
Ohno, Tomohiro
× Ohno, Tomohiro× Matsubara, Shigeki× Kawaguchi, Nobuo× Inagaki, Yasuyoshi |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | (C) 2003 IEEE. Reprinted, with permission, from [Ohno, Tomohiro; Matsubara, Shigeki; Kawaguchi, Nobuo; Inagaki, Yasuyoshi, SPIRAL CONSTRUCTION OF SYNTACTICALLY ANNOTATED SPOKEN LANGUAGE CORPUS, proceedings : International Conference on Natural Language Processing and Knowledge Engineering in Beijing China on October 26-29. 2003]. | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Stochastic parsing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Dependency parsing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Language database | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Spoken dialogue corpus | |||||
抄録 | ||||||
内容記述 | Spontaneous speech includes a broad range of linguistic phenomena characteristic of spoken language, and therefore a statistical approach would be effective for robust parsing of spoken language. Though a largescale syntactically annotated corpus is required for the stochastic parsing, its construction requires a lot of human resources. This paper proposes a method of efficiently constructing a spoken language corpus for which the dependency analysis is provided. This method uses an existing spoken language corpus. A stochastic dependency parse is employed to tag spoken language sentences with the dependency structures, and the results are corrected manually. The tagged corpus is constructed in a spiral fashion where in the corrected data is utilized as the statistical information for automatic parsing of other data. Taking this spiral approach reduces the parsing errors, also allowing us to reduce the correction cost. An experiment using 10,995 Japanese utterances shows the spiral approach to be effective for efficient corpus construction. | |||||
言語 | en | |||||
内容記述タイプ | Abstract | |||||
出版者 | ||||||
言語 | en | |||||
出版者 | IEEE | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1109/NLPKE.2003.1275953 | |||||
ISBN | ||||||
関連タイプ | isPartOf | |||||
識別子タイプ | ISBN | |||||
関連識別子 | 0-7803-7902-0 | |||||
書誌情報 |
en : NLP-KE2003 : proceedings : International Conference on Natural Language Processing and Knowledge Engineering in Beijing China p. 477-483, 発行日 2003-10-26 |
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著者版フラグ | ||||||
値 | author | |||||
URI | ||||||
識別子 | http://dx.doi.org/10.1109/NLPKE.2003.1275953 | |||||
識別子タイプ | DOI | |||||
URI | ||||||
識別子 | http://hdl.handle.net/2237/15085 | |||||
識別子タイプ | HDL |