English  |  正體中文  |  简体中文  |  Items with full text/Total items : 50122/85141 (59%)
Visitors : 7890742      Online Users : 78
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/28562


    Title: The design of a lexical difficulty filter for language learning on the internet
    Authors: 衛友賢;Wible, David Scott;Kuo, Chin-hwa;Wang, Chih-chiang;Chien, Feng-yi
    Contributors: 淡江大學英文學系
    Date: 2001-08
    Issue Date: 2010-01-07 10:21:22 (UTC+8)
    Publisher: IEEE Computer Society
    Abstract: The authors describe the design and implementation of a tool called the Lexical Difficulty Filter (LDF) intended to help learners or teachers in selecting sentences appropriate to the level of students for English vocabulary learning. The LDF serves as a bridge between learner and information resource bank. It selects suitable sentences from the output of standard English corpus concordancers. The core technology in the design of LDF is a fuzzy expert system. The results obtained are very encouraging in this pioneering work. We achieve 94.33% accuracy rate in imitating the judgments of a human expert in determining the degree of difficulty of a sentence for a given learner level
    Relation: IEEE International Conference on Advanced Learning Technologies (ICALT 2001),pp.53-54
    DOI: 10.1109/ICALT.2001.943852
    Appears in Collections:[英文學系暨研究所] 會議論文
    [資訊工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML186View/Open
    The Design of a Lexical Difficulty Filter for Language Learning on the Internet.pdf175KbAdobe PDF243View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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