商品情報にスキップ
1 1

Evaluation of Knowledge Cards Classification Method with Translation Dictionary

Evaluation of Knowledge Cards Classification Method with Translation Dictionary

通常価格 ¥330 JPY
通常価格 セール価格 ¥330 JPY
セール 売り切れ
税込

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

販売タイプ
書籍サイズ
ページ数
詳細を表示する