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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/100105

    題名: Adaptive Music Video Recommendation System Framework for Foreign English Language Learning
    作者: Kuo, Chin-Hwa;Chi, Chen-Chung
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Language Learning;Mutual Information;Document Difficulty;Document Readability;Music Recommender System
    日期: 2013-12-01
    上傳時間: 2015-01-28 11:07:37 (UTC+8)
    出版者: 新北市:淡江大學
    摘要: For many EFL learners, reading English articles or listening to music has been a good way to improve their English proficiency. However, it's not always easy to find the appropriate learning multimedia materials that can satisfy the learners' interest. The approach proposed in this paper uses a music video recommendation framework which fetches videos from Youtubeto be accessed either via mobile device or web browser. Learners can practice the usage of Verb-Noun collocations by watching the dynamic display of lyrics sentence by sentence, as well as listen to a recommended music video playing at the same time. The proposed system fetches collocation words by calculating mutual information of corpus, choosing music lyrics in the range of appropriate reading difficulty by cluster music lyric based on a particular vocabulary difficulty estimation method, and then providing a practice tool for mobile language learning.
    關聯: Journal of Applied Science and Engineering 16(4), pp.405-414
    DOI: 10.6180/jase.2013.16.4.08
    顯示於類別:[資訊工程學系暨研究所] 期刊論文


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