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Mastering Japanese through Augmented Browsing

Published: 02 December 2013 Publication History

Abstract

In this paper we present an extensible framework for Web-based language learning. At the client side we make extensive use of augmented browsing technology to accommodate various language education approaches with an emphasis on incidental language learning. Though our system architecture is designed in a generic and language-independent way, we built our first use cases for Japanese due to the inherent challenges in studying this complex language. Based on first valuable feedback from students and instructors we have concentrated our recent development efforts on three important extensions: contextual Japanese character training, visualization of Japanese sentence structures, and personal vocabulary lists.

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Cited By

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  • (2021)DARE – a Comprehensive Methodology for Mastering KanjiThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487791(425-433)Online publication date: 29-Nov-2021
  • (2017)KANGAROOProceedings of the 19th International Conference on Information Integration and Web-based Applications & Services10.1145/3151759.3151764(535-544)Online publication date: 4-Dec-2017
  • (2015)JILLProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837191(1-9)Online publication date: 11-Dec-2015

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cover image ACM Other conferences
IIWAS '13: Proceedings of International Conference on Information Integration and Web-based Applications & Services
December 2013
753 pages
ISBN:9781450321136
DOI:10.1145/2539150
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • @WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 December 2013

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Author Tags

  1. Web-based learning
  2. augmented browsing
  3. computer-assisted language learning
  4. incidental learning
  5. natural language visualization
  6. technology enhanced learning

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Cited By

View all
  • (2021)DARE – a Comprehensive Methodology for Mastering KanjiThe 23rd International Conference on Information Integration and Web Intelligence10.1145/3487664.3487791(425-433)Online publication date: 29-Nov-2021
  • (2017)KANGAROOProceedings of the 19th International Conference on Information Integration and Web-based Applications & Services10.1145/3151759.3151764(535-544)Online publication date: 4-Dec-2017
  • (2015)JILLProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837191(1-9)Online publication date: 11-Dec-2015

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