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Du Gan; Kanokporn Numtong; Hao Li; Songyu Jiang – Eurasian Journal of Applied Linguistics, 2024
This study applies the Apriori algorithm to analyse patterns, syntactic structures, and thematic clusters in Chinese studies data from various genres. This study aims to identify recurring linguistic elements in order to shed light on the dynamic nature of the Chinese language across different contexts and time periods. The Apriori algorithm is…
Descriptors: Chinese, Applied Linguistics, Algorithms, Computational Linguistics
Jennifer Hu – ProQuest LLC, 2023
Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…
Descriptors: Linguistic Theory, Computational Linguistics, Models, Language Research
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Siskind, Jeffrey Mark – Cognition, 1996
Presents a computational study of children's acquisition of word-to-meaning mappings, approximates this task as a mathematical problem, and presents an algorithm for solving the problem, illustrating the algorithm's operation on a small example. Notes that computational simulations demonstrated the robustness of the algorithm and illustrated how…
Descriptors: Algorithms, Computational Linguistics, Language Acquisition, Language Processing
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Niyogi, Partha; Berwick, Robert C. – Cognition, 1996
Shows how to characterize language learning in a finite parameter space, such as in the "principles-and-parameters" approach, as a Markov structure. Explains how sample complexity varies with input distributions and learning regimes. Finds that a simple random-step algorithm always converges to the right target language and works faster than a…
Descriptors: Algorithms, Computational Linguistics, Grammar, Language Acquisition
Tokmouline, Timur – 2000
This article explores whether or not it is possible for computers to be effectively used to analyze textual information. Computerization of human linguistic analysis would be enormously useful, because it would relieve many highly skilled linguistics professionals (researchers and teachers) from having to spend enormous amounts of time on the…
Descriptors: Algorithms, Artificial Intelligence, Computational Linguistics, Computer Assisted Testing
Weber, David – 1989
The computerized morphological parser, AMPLE, grew out of work in computer assisted dialect adaptation. AMPLE contains no language-specific code, but is controlled entirely through external, user-written files, the notations of which were designed for linguists. AMPLE's constructs are linguistic: e.g., allomorph, morpheme, conditioning…
Descriptors: Algorithms, Computational Linguistics, Computer Oriented Programs, Computer Software
Kaplan, Ronald M. – 1971
This paper describes the notation and underlying organization of an augmented, recursive-transition network grammar and illustrates how such a grammar is a natural medium for expressing and explaining a wide variety of facts about the psychological processes of sentence comprehension. A general discussion of transformational grammar and…
Descriptors: Algorithms, Cognitive Processes, Computational Linguistics, Computer Programs
Schank, Roger C.; Wilks, Yorick – 1973
There is a need for a new kind of linguistic theory which, while being concerned with both generation and analysis, must include the roles of memory, non-linguistic knowledge, and inference. The role of logic is diminished according to such a theory because inference has no real logical content. Meaning must be studied with respect to the actual…
Descriptors: Algorithms, Computational Linguistics, Computer Programs, Deep Structure
Price, James D. – 1971
The final part of a four-part report of research on the development of a computerized, phrase-structure grammar of modern Hebrew describes the computerized algorithm for analyzing the sentences generated based on a complex-constituent-phrase structure grammar. The first section here discusses a structural model for modern Hebrew; the second…
Descriptors: Algorithms, Computational Linguistics, Computer Programs, Deep Structure
Price, James D. – 1971
This first part of a four-part report of research on the development of a computerized, phrase-structure grammar of modern Hebrew presents evidence to demonstrate the need for material to train teachers of Semitic languagues in the theory of grammar. It then provides a discussion of the research already done on the application of computational…
Descriptors: Algorithms, Computational Linguistics, Computer Programs, Deep Structure
Simmons, R. F.; Slocum, Jonathan – 1970
The system described in this report is designed for use as a computational tool that allows a linguist to develop and study methods for generating surface strings from an underlying semantic structure. Initial findings with regard to form-determiners (such as voice, form, tense, and mood), some rules for embedding sentences, and some attention to…
Descriptors: Algorithms, Computational Linguistics, Computer Assisted Instruction, Computer Programs
Center for Applied Linguistics, Washington, DC. – 1972
This document contains the reports summarizing the main discussion held during the March 1972 Computational Linguistics Conference. The first report, "Computational Linguistics and Linguistics," helps to establish definitions and an understanding of the scope of computational linguistics. "Integrated Computer Systems for Language" and…
Descriptors: Algorithms, Artificial Speech, Computational Linguistics, Computer Science
Price, James D. – 1971
The second part of the four-part report of research on the development of a computerized, phrase-structure grammar of modern Hebrew describes the application of a generalized complex-constituent-phrase structure grammar to modern Hebrew. This volume discusses the details of the grammar: limitations, input and output, symbols, rules, tree diagrams,…
Descriptors: Algorithms, Computational Linguistics, Computer Programs, Deep Structure