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
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;
Conference_Titel :
Advanced Learning Technologies, 2001. Proceedings. IEEE International Conference on
Conference_Location :
Madison, WI
Print_ISBN :
0-7695-1013-2
DOI :
10.1109/ICALT.2001.943852