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Showing 1 to 15 of 84 results Save | Export
Adam, Christopher C. – ProQuest LLC, 2015
Those advocating the existence of a distinct language instinct generally claim that human language is not reliant on general human cognition. However, limitations on recursive patterns in human language are universally attested, from the micro-level elements of phonology, throughout the mid-level elements of morphology and syntax, and up to the…
Descriptors: Languages, Cognitive Processes, Linguistic Theory, Information Processing
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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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Glickert, Peter – Journal of the American Society for Information Science, 1972
Because they look to the computer for automatic processing of verbal information, linguists have allied themselves with mathematicians. (10 references) (Author)
Descriptors: Computational Linguistics, Computers, Information Processing, Mathematics
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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
Guespin, L. – Langages, 1974
(Text is in French.)
Descriptors: Computational Linguistics, Information Processing, Linguistic Theory, Morphology (Languages)
Graves, Patricia A.; And Others – 1966
This memorandum describes a set of subroutines for the IBM 7040/44 computers for reading textual material with complex formats and coding conventions--questionnaires, library catalog cards, etc.--from any external medium into the high-speed store of the machine. Different kinds of information in the input are recognized by explicit markers,…
Descriptors: Catalogs, Computational Linguistics, Computer Programs, Information Processing
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Montgomery, Christine A. – Journal of the American Society for Information Science, 1972
This paper defines the relationship between linguistics and information science in terms of a common interest in natural language. The concept of a natural language information system is introduced as a framework for reviewing automated language processing efforts by computational linguists and information scientists. (96 references) (Author)
Descriptors: Automation, Computational Linguistics, Information Processing, Information Science
Sedelow, Sally Y. – 1968
This report describes current research associated with the Automated Language Analysis Project at the University of North Carolina, Chapel Hill. The focus of the research is upon the delineation of patterns formed in the linguistic coding of information; this delineation is called stylistic analysis. The report describes research on thesauri,…
Descriptors: Computational Linguistics, Computer Programs, Content Analysis, Information Processing
Bailey, Richard W.; Robinson, Jay L. – 1969
Proposals for the use of the computer in the humanities often ask more of the machine than it can reasonably yield, and the enthusiastic generation of data for dictionary projects may well overburden the editors who must eventually cope with it. Procedures in lexicography are not well enough defined for a substantial burden to be placed on the…
Descriptors: Computational Linguistics, Computer Science, Databases, Dictionaries
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Josselson, Harry H. – 1972
This research is designed to fulfill the need of scholars, teachers, and developers of teaching materials who are active in the study and compilation of Russian textbooks. Through computer processing, the idioms were classified on the basis of pertinent linguistic criteria, including phonological, morphological, and syntactic information. Included…
Descriptors: Computational Linguistics, Computer Programs, Idioms, Information Processing
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Bektaev, K. B.; And Others – Linguistics, 1977
Examines the prospects for the use of computers in solving linguistics problems and discusses questions of linguistic theory which relate to the functioning of a language within the communicatory system of "man-machine-man." (EJS)
Descriptors: Automatic Indexing, Computational Linguistics, Information Processing, Linguistic Theory
Pacak, Milos; Pratt, Arnold W. – 1971
This paper is a survey of some of the major semantic models that have been developed for automated semantic analysis of natural language. Current approaches to semantic analysis and logical interference are based mainly on models of human cognitive processes such as Quillian's semantic memory, Simmon's Protosynthex III and others. All existing…
Descriptors: Computational Linguistics, Information Processing, Information Retrieval, Linguistic Theory
Jacobson, Milton D. – 1972
The procedures for compiling a new elementary word list using computers are described. Words were taken from 127 books in fourteen series of widely used elementary textbooks. The compilation procedures consisted of (1) input: putting the lists into the computer, (2) processing of the vocabulary into compiled lists, (3) output: production of the…
Descriptors: Basal Reading, Computational Linguistics, Information Processing, Instructional Materials
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Widmann, R. L. – Computers and the Humanities, 1972
The field of computer applications is becoming extensive, and the researcher can take advantage of the literary use of computers. Article lists the wide variety of tasks the computer tackles concerning literature and linguistics. (RK)
Descriptors: Computational Linguistics, Computer Programs, Data Processing, Information Processing
Dansereau, Jules – Meta, 1978
An exposition of reasons why a system of automatic translation could not use a terminology bank except as a source of information. The fundamental difference between the two tools is explained and examples of translation and mistranslation are given as evidence of the limits and possibilities of each process. (Text is in French.) (AMH)
Descriptors: Computational Linguistics, Information Processing, Machine Translation, Programing Languages
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