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Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
Haselkorn, Mark P. – Technical Writing Teacher, 1986
Introduces the idea of a smart documentation system (SDS). Argues that an SDS will be more useful for providing interface that allows the user to describe problems using natural language. Describes a computational linguistic system that could provide the basis for such an interface, and the basic design of an SDS that would incorporate such an…
Descriptors: Computational Linguistics, Computer Software, Expert Systems, Higher Education
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Teubert, Wolfgang – 1995
Language, once a cultural asset in Europe, has become an economic commodity. The national language institutes now have the task of providing the means for making knowledge available in the national language and distributing locally produced information worldwide. This includes not only training more translators, but also developing the necessary…
Descriptors: Computational Linguistics, Computer Software, Computer Software Development, Discourse Analysis
Grice, R. D. – Unicorn, Journal of the Australian College of Education, 1986
The nature of literacy associated with the widely used new medium of microcomputers has not been fully exploited by schools to foster development of literacy programs. Microcomputer applications need integration with classroom activities where students construct language meaning. (19 references) (CJH)
Descriptors: Computational Linguistics, Computer Assisted Instruction, Computer Literacy, Computer Simulation