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    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:[Graduate Institute & Department of English] Proceeding
    [Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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