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A model for intelligent computer assisted language instruction (MICALI)

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Abstract

This paper presents the view that Computer Assisted Language Instruction (CALI) software should be developed as a natural language processing system that offers an interactive environment for language learners. A description of Artificial Intelligence tools and techniques, such as parsing, knowledge representation and expert systems is presented. Their capabilities and limitations are discussed and a model for intelligent CALI software (MICALI) is proposed. MICALI is highly interactive and communicative and can initiate conversation with a student or respond to questions on a previously defined domain of knowledge. In the present state of the art, MICALI can only operate in limited parsing and domain-specific knowledge representation.

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Authors and Affiliations

  1. English Department, Kuwait University, P.O. Box 23558, Code 13096, Safat, Kuwait

    Ali Farghaly

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  1. Ali Farghaly
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Ali Farghaly received his Ph.D. in Linguistics from the University of Texas at Austin in 1981. He joined the University of Alexandria, Egypt, the same year. In 1983, he worked as an Arabic computational linguist at Omnitrans of California. Currently, he is an assistant professor of General and Computational Linguistics at Kuwait University. He has published several papers in Arabic and English on Artificial Intelligence and Computational Linguistics. His research interests include Computer Assisted Language Instruction, natural language understanding, and machine translation.

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Farghaly, A. A model for intelligent computer assisted language instruction (MICALI). Comput Hum 23, 235–250 (1989). https://doi.org/10.1007/BF00056146

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