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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/18339

    题名: A ubiquitous agent for unrestricted vocabulary learning in noisy digital environments
    作者: Wible, David Scott;Kuo, Chin-hwa;Chen, Meng-chang;Tsao, Nai-lung;Hung, Tsung-fu
    贡献者: 淡江大學資訊工程學系;淡江大學英文學系
    日期: 2006-06-01
    上传时间: 2009-08-25 14:16:25 (UTC+8)
    摘要: One of the most persistently difficult aspects of vocabulary for foreign language learners is collocation. This paper describes a browser-based agent that assists learners in acquiring collocations in context during their unrestricted Web browsing. The agent overcomes the limitations imposed by learner models in traditional ITS. Its capacity to function in noisy unscripted contexts derives from a well-understood theory of lexical knowledge that attributes a word’s identity to its contextual features. Collocations constitute a central feature type, and we extract these features computationally from a 20-million-word portion of BNC. These we are able to detect and highlight in real time for learners in the noisy Web environments they freely browse. Our learner model, derived by semi-automatic techniques from our 3-million word corpus of learner English, maps detected collocations onto corresponding collocation errors produced by this learner population, alerting learners to the non-substitutability of words within the target collocations. A notebook offers a push function for individualized repeated exposure to examples of these collocations in context.
    關聯: 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006. Proceedings, pp.503-512
    DOI: 10.1007/11774303_50
    显示于类别:[資訊工程學系暨研究所] 會議論文
    [英文學系暨研究所] 會議論文


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