形態論に基づく中国語テキストのなかに離合詞自動識別

カテゴリ: 部門大会

論文No: GS13-4

グループ名: 【C】平成21年電気学会電子・情報・システム部門大会講演論文集

発行日: 2009/09/03

タイトル(英語): Learning Lexical Pattern from Internet Sentences for Chinese Separable Verb-object Words

著者名: 黄開妍 (徳島大学)

著者名(英語): Huang Kaiyan(The University of Tokushima)

キーワード: 離合詞|編集距離|Separable Verb-object Words| edit-distance

要約(日本語): In this paper, for automatic dimensioning Chinese separable verb-object words in sentences, lexical patterns are generated from typical grammar patterns or learned from words and phrases appearing between word morphemes. For learning sentences with morphemes of separable words are collected from Internet employing search engine for 4,126 separable words then being tagged artificially with agreement of whether being used separable words. Lexical patterns are also optimized gradually in experiment by limiting part-of-speech tags, word order and count etc. With the final patterns, test for automatic dimensioning is done with the collected sentences.

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