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

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

doi:10.1109/ICALT.2001.943852

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

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

Graduate Institute of Learning and Instruction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001
Publisher	IEEE Computer Society
Pages	53-54
Number of pages	2
ISBN (Print)	0769510132, 9780769510132
DOIs	https://doi.org/10.1109/ICALT.2001.943852
State	Published - 2001
Event	2001 IEEE International Conference on Advanced Learning Technologies, ICALT 2001 - Madison, WI, United States Duration: 6 Aug 2001 → 8 Aug 2001

Publication series

Name	Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001

Conference

Conference	2001 IEEE International Conference on Advanced Learning Technologies, ICALT 2001
Country/Territory	United States
City	Madison, WI
Period	6/08/01 → 8/08/01

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10.1109/ICALT.2001.943852

Cite this

Kuo, C. H., Wible, D., Wang, C. C., & Chien, F. Y. (2001). The design of a lexical difficulty filter for language learning on the Internet. In Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001 (pp. 53-54). Article 943852 (Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001). IEEE Computer Society. https://doi.org/10.1109/ICALT.2001.943852

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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.",

author = "Kuo, {Chin Hwa} and David Wible and Wang, {Chih Chiang} and Chien, {Feng Yi}",

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Kuo, CH, Wible, D, Wang, CC & Chien, FY 2001, The design of a lexical difficulty filter for language learning on the Internet. in Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001., 943852, Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001, IEEE Computer Society, pp. 53-54, 2001 IEEE International Conference on Advanced Learning Technologies, ICALT 2001, Madison, WI, United States, 6/08/01. https://doi.org/10.1109/ICALT.2001.943852

The design of a lexical difficulty filter for language learning on the Internet. / Kuo, Chin Hwa; Wible, David; Wang, Chih Chiang et al.
Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001. IEEE Computer Society, 2001. p. 53-54 943852 (Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Kuo CH, Wible D, Wang CC, Chien FY. The design of a lexical difficulty filter for language learning on the Internet. In Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001. IEEE Computer Society. 2001. p. 53-54. 943852. (Proceedings - IEEE International Conference on Advanced Learning Technologies, ICALT 2001). doi: 10.1109/ICALT.2001.943852

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

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