論文

査読有り
2013年3月

Personalized Reading Support for Second-Language Web Documents

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
  • Yo Ehara
  • ,
  • Nobuyuki Shimizu
  • ,
  • Takashi Ninomiya
  • ,
  • Hiroshi Nakagawa

4
2
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1145/2438653.2438666
出版者・発行元
ASSOC COMPUTING MACHINERY

A 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 a collective intelligence method 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. The system was evaluated in terms of prediction accuracy and reading simulation. The reading simulation results show that this system can reduce the number of clicks for most readers with insufficient vocabulary to read documents and can significantly reduce the remaining number of unfamiliar words after the prediction and glossing for all users.

Web of Science ® 被引用回数 : 1

リンク情報
DOI
https://doi.org/10.1145/2438653.2438666
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000321223100013&DestApp=WOS_CPL

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