• DocumentCode
    3385637
  • Title

    The design of a Lexical Difficulty Filter for language learning on the Internet

  • Author

    Kuo, Chin-Hwa ; Wible, David ; Wang, Chih-Chiang ; Chien, Feng-yi

  • Author_Institution
    Comput. & Networking Lab., Tamkang Univ., Tamsui, Taiwan
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    53
  • Lastpage
    54
  • 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
  • Keywords
    Internet; intelligent tutoring systems; linguistics; natural languages; teaching; English vocabulary learning; Internet; LDF; Lexical Difficulty Filter; fuzzy expert system; human expert; information resource bank; language learning; learner level; sentences; standard English corpus concordancers; Computer networks; Databases; Humans; Information filtering; Information filters; Internet; Laboratories; Natural languages; Testing; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2001. Proceedings. IEEE International Conference on
  • Conference_Location
    Madison, WI
  • Print_ISBN
    0-7695-1013-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2001.943852
  • Filename
    943852