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Friesen, Norm – Mind, Culture, and Activity, 2009
As an alternative to dominant cognitive-constructivist approaches to educational technology, this article makes the case for what has been termed a discursive, or postcognitive, psychological research paradigm. It does so by adapting discursive psychological analyses of conversational activity to the study of educational technology use. It applies…
Descriptors: Constructivism (Learning), Psychological Studies, Educational Technology, Psychology
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Zadeh, L. A. – International Journal of Man-Machine Studies, 1978
Describes the Probabilistic Relational Universal Fuzzy (PRUF), a relation-manipulating language which serves the purposes of: (1) precisiation of expressions in a natural language; (2) exhibiting their logical structure; and (3) providing a system for the characterization of the meaning of a proposition by acting on a collection of fuzzy relations…
Descriptors: Computational Linguistics, Information Processing, Programing Languages, Systems Development
Reed, A. – Association for Literary and Linguistic Computing Bulletin, 1977
This article describes a computer program, or package, that has been designed to allow a novice computer user to analyze natural language text by computer. The program can produce collocations, concordances, and word lists. The article also describes the package control language, which is designed to be easily used. Word extraction, word…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Programs, Indexes
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Scharenborg, Odette; Norris, Dennis; ten Bosch, Louis; McQueen, James M. – Cognitive Science, 2005
Although researchers studying human speech recognition (HSR) and automatic speech recognition (ASR) share a common interest in how information processing systems (human or machine) recognize spoken language, there is little communication between the two disciplines. We suggest that this lack of communication follows largely from the fact that…
Descriptors: Models, Speech Communication, Computational Linguistics, Oral Language
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Griffith, Belver C. – Journal of the American Society for Information Science, 1981
Summarizes the key research issues and developments in cognitive science, especially with respect to the similarities, differences, and interrelationships between human and machine information processing. Nine references are listed. (JL)
Descriptors: Artificial Intelligence, Cognitive Processes, Computational Linguistics, Computers
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Walker, Donald E. – Journal of the American Society for Information Science, 1981
Reviews developments in research on information storage and retrieval, question-answering and natural language interface online systems, and the processes of synthesis and interpretation in intelligent behavior. Problem formulation, information requests, and knowledge representation are discussed in relation to the design and use of retrieval…
Descriptors: Artificial Intelligence, Computational Linguistics, Databases, Information Processing
Loh, Shiu-Chang; And Others – Association for Literary and Linguistic Computing Bulletin, 1978
A practical machine translation system called CULT (Chinese University Language Translator), capable of translating Chinese mathematical texts into readable English, has been developed during the period 1969-1977 at the Chinese University of Hong Kong. Programs for the system are written in Standard FORTRAN and run on the ICL1904A computer system.…
Descriptors: Algorithms, Automatic Indexing, Chinese, Computational Linguistics
Ahmad, K.; And Others – Association for Literary and Linguistic Computing Bulletin, 1978
Some of the problems facing undergraduates learning Russian can be dealt with effectively by using an online computer. A Russian numerals drill program (RUNEX) is described which aims to help the student in tackling the morphological arbitrariness and some aspects of the syntax of the Russian numerals. Paradigms are given for the numerals five,…
Descriptors: Adjectives, Computational Linguistics, Computer Assisted Instruction, Computer Programs
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Ornan, Uzzi – Association for Literary and Linguistic Computing Bulletin, 1978
The ability of the computer to generate output not included in the input may be used for linguistic as well as for computational input. The ability to accept linguistic data and process it according to a certain program seems to be a promising field for investigation. Progress in this field may strengthen the assumption that the computer can be…
Descriptors: Computational Linguistics, Computer Assisted Instruction, Computer Programs, Educational Technology