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Category : Book Reports
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Date Submitted: 08/16/2011 01:00 PM
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Development Of Computer

Proceedings of the workshop "Intelligent Educational Systems on the World Wide Web", 8th World Conference of the AIED Society, Kobe, Japan, 18-22 August 1997 Development of computer assisted language learning system for Japanese writing using natural language processing techniques: A study on passive voice Jie Chi YANG, Kanji AKAHORI the Center for Research And DeveLopment of Educational technology (CRADLE), Tokyo Institute of Technology 2-12-1 O-okayama, Meguro-ku, Tokyo, 152, Japan Tel: +81-3-5734-3233, Fax: +81-3-5734-2995 E-mail: yang@cradle.titech.ac.jp, akahori@cradle.titech.ac.jp Abstract: This paper describes the development of a computer assisted language learning (CALL) system for learning of Japanese writing using natural language processing (NLP) techniques. This system could be used for writing to learn Japanese passive voice on the World Wide Web (WWW). To investigate the error types when writing in passive voice of Japanese language by foreign students, the authors conducted a test and took a questionnaire survey. From this investigation, the authors classified the error types of Japanese passive voice into 12 categories, 65 kinds and 228 errors. This classification will be used for error analysis which deals with the implementation of the system. In this system, the authors use NLP tools (including Morpheme analyzer and Syntax analyzer) and then add the error analysis and the feedback processing part to the system. This system thus enables the learner to key in sentence freely, can detect the error in typed sentence (sentence key in by learner) and gives the adequate feedback messages back to the learner. Furthermore, the authors propose the mechanism of correction by learner which allows the learner to correct the typed sentence by herself/himself, and allows the learner to realize that what error she/he has made. This mechanism can be considered as a supplement to the prediction of the system, and as an improvement in the effectiveness of current...

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