論文

査読有り
2010年

Personalized Reading Support for Second-Language Web Documents by Collective Intelligence

IUI 2010
  • Yo Ehara
  • ,
  • Nobuyuki Shimizu
  • ,
  • Takashi Ninomiya
  • ,
  • Hiroshi Nakagawa

開始ページ
51
終了ページ
60
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1145/1719970.1719978
出版者・発行元
ASSOC COMPUTING MACHINERY

Novel intelligent interface eases the browsing of Web documents written in the second languages of users. It automatically predicts words unfamiliar to the user by collective intelligence and glosses them with their meaning in advance. If the prediction succeeds, the user does not need to consult a dictionary; even if it fails, the user can correct the prediction. The correction data are collected and used to improve the accuracy of further predictions. The prediction is personalized in that every user's language ability is estimated by a state-of-the-art language testing model, which is trained in a practical response time with only a small sacrifice of prediction accuracy. Evaluation results for the system in terms of prediction accuracy are encouraging.

Web of Science ® 被引用回数 : 2

リンク情報
DOI
https://doi.org/10.1145/1719970.1719978
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000283748700006&DestApp=WOS_CPL
URL
http://yoehara.com/files/ehara2010IUI.txt

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