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DeKeyser, Robert M., Ed.; Botana, Goretti Prieto, Ed. – Language Learning & Language Teaching, 2019
This book is unique in bringing together studies on instructed second language acquisition that focus on a common question: "What renders this research particularly relevant to classroom applications, and what are the advantages, challenges, and potential pitfalls of the methodology adopted?" The empirical studies feature experimental,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Decision Making
Ortony, Andrew; Radin, Dean I. – 1983
The product of researchers' efforts to develop a computer processor which distinguishes between relevant and irrelevant information in the database, Spreading Activation Processor for Information Encoded in Network Structures (SAPIENS) exhibits (1) context sensitivity, (2) efficiency, (3) decreasing activation over time, (4) summation of…
Descriptors: Artificial Intelligence, Cognitive Processes, Computational Linguistics, Computer Programs
Gevarter, William B. – 1983
Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Software, Computers

Holmes, David I. – Computers and the Humanities, 1994
Considers problems of quantifying literary style. Examines several variables that may be used as stylistic "fingerprints" of a writer. Reviews work done on statistical analysis of change over time in literary style and applies this technique to the Bible. (CFR)
Descriptors: Authors, Biblical Literature, Computational Linguistics, Computer Uses in Education

Das-Gupta, Padmini – Journal of the American Society for Information Science, 1987
Presents an algorithm for use in natural language document retrieval systems which automatically determines if the conjunction "and" in a statement representing an information need should be translated into a Boolean "and" or "or." The results of an experiment that used the algorithm are reported, and further research is suggested. (CLB)
Descriptors: Algorithms, Componential Analysis, Computational Linguistics, Conjunctions

Vleduts-Stokolov, Natasha – Journal of the American Society for Information Science, 1987
Describes a system developed for the automatic recognition of biological concepts in titles of scientific articles; reports results of several pilot experiments which tested the system's performance; analyzes typical ambiguity problems encountered by the system; describes a disambiguation technique that was developed; and discusses future plans…
Descriptors: Automatic Indexing, Biological Sciences, Componential Analysis, Computational Linguistics