The design of a lexical difficulty filter for language learning on the Internet

Chin Hwa Kuo, David Wible, Chih Chiang Wang, Feng Yi Chien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001
PublisherIEEE Computer Society
Pages53-54
Number of pages2
ISBN (Print)0769510132, 9780769510132
DOIs
StatePublished - 2001
Event2001 IEEE International Conference on Advanced Learning Technologies, ICALT 2001 - Madison, WI, United States
Duration: 6 Aug 20018 Aug 2001

Publication series

NameProceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001

Conference

Conference2001 IEEE International Conference on Advanced Learning Technologies, ICALT 2001
Country/TerritoryUnited States
CityMadison, WI
Period6/08/018/08/01

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