Archive for the ‘CALL related to Linguistics’ Category


David Ashworth
University of Hawaii
Jan Stelovsky
University of Hawaii


Kanji City explores some of the possibilities for design of language instructional materials in hypermedia format. It takes advantage of HyperCard’s potential to integrate text with digitized and synthesized sound, interactive graphics and animation. Furthermore, the application demonstrates how hypermedia can support inductive learning through trial-and-error exploration of a simulation of real-life environment, and promote contextualization of language and language use. Kanji City serves as an umbrella for a host of related language learning programs. Several of these modules exemplify the concept of presentation shells that are not restricted to teaching Japanese, but can be filled with contents from a wide range of subjects.

KEYWORDS: hypermedia, contextualization, kanji, electronic environment, reading proficiency, InterAgency Language Round Table (ILRT), inductive learning, simulation, HyperCard, presentation shell


AUTHOR:  Gerard M. Dalgish


The field of African language CALL is expanding rapidly as part of the general trend toward foreign language CALL. Yet the assumptions and needs of the learner in such instruction are quite different from that of the more commonly taught languages. African language instruction may not always be classroom-oriented: texts are seldom available for most of the uncommonly taught languages, and a native speaker as consultant1 may or may not have training in foreign language instruction. These factors have led to the need for self-standing, computer-driven instruction for these languages. This paper will discuss some assumptions regarding generative-based African language CALL, with references to Bantu languages and to one particular language (the OluTsootso dialect of Luyai, a language of Kenya), and describe elements of a computer program that produces superficial forms from underlying forms of that language. The paper will close with a discussion of some of the differences between computer characterizations of certain phonological phenomena and the generative linguist’s description of such phenomena.

KEYWORDS: Bantu, BASIC, generative phonology, Kenya, OluTsooto