A ubiquitous agent for unrestricted vocabulary learning in noisy digital environments
學年 94
學期 2
發表日期 2006-06-22
作品名稱 A ubiquitous agent for unrestricted vocabulary learning in noisy digital environments
作品名稱(其他語言)
著者 Wible, David Scott; Kuo, Chin-hwa; Chen, Meng-chang; Tsao, Nai-lung; Hung, Tsung-fu
作品所屬單位 淡江大學資訊工程學系; 淡江大學英文學系
出版者
會議名稱 The 8th International Conference on Intelligent Tutoring Systems, ITS 2006
會議地點 中壢市, 臺灣
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.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20060622~20060624
通訊作者
國別 TWN
公開徵稿
出版型式 紙本 電子版
出處 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006. Proceedings, pp.503-512
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/18339 )

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