Evaluation of Knowledge Cards Classification Method with Translation Dictionary
Evaluation of Knowledge Cards Classification Method with Translation Dictionary
カテゴリ: 研究会(論文単位)
論文No: IS11011
グループ名: 【C】電子・情報・システム部門 情報システム研究会
発行日: 2011/04/14
タイトル(英語): Evaluation of Knowledge Cards Classification Method with Translation Dictionary
著者名: Liu Xiaopeng(Osaka University),Akiyoshi Masanori(Osaka University),Komoda Norihisa(Osaka University),Wang Zuoqi(Jinan Ryouka Science & Technology Co.,Ltd.),Cai Li(Jinan Ryouka Science & Technology Co.,Ltd.)
著者名(英語): Liu Xiaopeng(Osaka University),Akiyoshi Masanori(Osaka University),Komoda Norihisa(Osaka University),Wang Zuoqi(Jinan Ryouka Science & Technology Co.,Ltd.),Cai Li(Jinan Ryouka Science & Technology Co.,Ltd.)
キーワード: Classification|Knowledge Management|Hybrid System|Classification|Knowledge Management|Hybrid System
要約(日本語): This paper discusses a classification method on knowledge cards written in Japanese and Chinese at offshore softwaredevelopment company. Th method uses a terminology dictionary for translating Chinese words to Japanese ones as toChinese knowledge cards in addition to a category-based dictionary. Two experimental results show that our methodachieved better classification than that of hand-translated Japanese cards of Chinese cards. We also discuss the causes ofwrong classification. Finally we addresses further experiments and research direction towards improving categorizationaccuracy.
要約(英語): This paper discusses a classification method on knowledge cards written in Japanese and Chinese at offshore softwaredevelopment company. Th method uses a terminology dictionary for translating Chinese words to Japanese ones as toChinese knowledge cards in addition to a category-based dictionary. Two experimental results show that our methodachieved better classification than that of hand-translated Japanese cards of Chinese cards. We also discuss the causes ofwrong classification. Finally we addresses further experiments and research direction towards improving categorizationaccuracy.
原稿種別: 日本語
PDFファイルサイズ: 946 Kバイト
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