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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/987654321/28676

    題名: Toward automating a personalized concordancer for data-driven language learning
    作者: 衛友賢;Wible, David Scott;Chien, Feng-yi;郭經華;Kuo, Chin-hwa;Wang, C. C.
    貢獻者: 淡江大學英文學系
    日期: 2002-07-01
    上傳時間: 2010-01-07 10:32:31 (UTC+8)
    出版者: Amsterdam: Rodopi
    摘要: One of the most widely acknowledged barriers to the effectiveness of corpus and concordancing resources in the hands of language learners and educators is the lack of control over the examples retrieved. The purpose of this paper is to describe a novel tool, called the Lexical Difficulty Filter (LDF), which we have developed to increase this sort of control, specifically to filter concordance examples according to a flexible threshold of lexical difficulty. We also suggest refinements and extensions to the LDF for future research. What we present here constitutes one part of a larger effort that we are engaging in to provide precision and flexibility for language teachers and learners in their use of concordancing tools and large corpora.
    關聯: Language and Computers : Studies in practical linguistics, pp.147-154
    顯示於類別:[英文學系暨研究所] 專書之單篇
    [資訊工程學系暨研究所] 專書之單篇





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