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

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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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