A computer assisted language learning system based on error trends grouping

Wenli Zhou, Jing Zheng, Qin Lu, Tingshing Chiu, Xiaomei You, Weiping Ye

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)


Mastering several languages almost becomes necessity in today's globalization environment. Computer Assisted Language Learning (CALL) systems are as a popular second language learning tool because of its inherent advantages. Through analyzing traditional language education and existing CALL tools, we have developed an experimental CALL system which can give relevance feedbacks through anatomy animation. It is based on deliberate data trained recognition to give error trend relevant feedbacks to language learners. The feedbacks are provided through different visualized speech features as well as articulatory anatomy animation. The visual features are easier to interpret and compare to the correct pronunciations so that the learning process can be made easier. Comparative evaluations to a simple playback system without feedbacks show that the proposed system is more effective.
Original languageEnglish
Title of host publicationIEEE NLP-KE 2007 - Proceedings of International Conference on Natural Language Processing and Knowledge Engineering
Number of pages6
Publication statusPublished - 1 Dec 2007
EventInternational Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007 - Beijing, China
Duration: 30 Aug 20071 Sep 2007


ConferenceInternational Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE 2007

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Information Systems and Management

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