English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 49064/83170 (59%)
造访人次 : 6962056      在线人数 : 40
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=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

    题名: 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.
    贡献者: 淡江大學英文學系
    日期: 2002-07-01
    上传时间: 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
    显示于类别:[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





    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈