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Showing 1 to 15 of 51 results Save | Export
Ernesto R. Gutierrez Topete – ProQuest LLC, 2023
In phonetics research, language alternation--including code switching (speaker-initiated) and cued switching (researcher-prompted)--can be used as a tool to investigate various aspects of speech production and perception in bilingual or multilingual speakers (Bullock & Toribio, 2009a). Studies on the production of voice onset time (VOT) during…
Descriptors: Second Language Learning, Second Language Instruction, Bilingualism, Spanish
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Vera Kempe; Patricia J. Brooks; Steven Gillis – Language Teaching Research Quarterly, 2024
The Child Language Data Exchange System (CHILDES), created by Brain MacWhinney and Catherine Snow in 1984, is one of the earliest Open Science and data sharing initiatives in child language development research, and probably in developmental psychology and the behavioral sciences more generally. It is the cornerstone of TalkBank--a repository of…
Descriptors: Databases, Child Language, Language Acquisition, Language Research
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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
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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Ekrem Solak – International Journal of Education in Mathematics, Science and Technology, 2024
The integration of ChatGPT and artificial intelligence (AI) has led to innovative ideas in academic writing. This shift has improved the efficiency and quality of academic content, yet it also raises ethical concerns regarding authorship, originality, and maintaining academic rigor. This study aims to explore the interplay between AI and academic…
Descriptors: Artificial Intelligence, Academic Language, Teaching Methods, Computer Software
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Tantucci, Vittorio; Wang, Aiqing – Applied Linguistics, 2022
In Dialogic syntax (cf. Du Bois 2014; Tantucci et al. 2018), naturalistic interaction is inherently grounded in resonance, viz. the catalytic activation of affinities across turns (Du Bois and Giora 2014). Resonance occurs dynamically when interlocutors creatively coconstruct utterances that are formally and phonetically similar to the utterance…
Descriptors: Syntax, Computational Linguistics, Prediction, Mandarin Chinese
Byung-Doh Oh – ProQuest LLC, 2024
Decades of psycholinguistics research have shown that human sentence processing is highly incremental and predictive. This has provided evidence for expectation-based theories of sentence processing, which posit that the processing difficulty of linguistic material is modulated by its probability in context. However, these theories do not make…
Descriptors: Language Processing, Computational Linguistics, Artificial Intelligence, Computer Software
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Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
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Kolodny, Oren; Lotem, Arnon; Edelman, Shimon – Cognitive Science, 2015
We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given…
Descriptors: Grammar, Natural Language Processing, Computer Mediated Communication, Graphs
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Seidenberg, Mark S.; Plaut, David C. – Cognitive Science, 2014
Rumelhart and McClelland's chapter about learning the past tense created a degree of controversy extraordinary even in the adversarial culture of modern science. It also stimulated a vast amount of research that advanced the understanding of the past tense, inflectional morphology in English and other languages, the nature of linguistic…
Descriptors: Morphemes, Morphology (Languages), Language Acquisition, Reading
Banea, Carmen – ProQuest LLC, 2013
Socrates articulated it best, "Speak, so I may see you." Indeed, language represents an invisible probe into the mind. It is the medium through which we express our deepest thoughts, our aspirations, our views, our feelings, our inner reality. From the beginning of artificial intelligence, researchers have sought to impart human like…
Descriptors: Multilingualism, Computational Linguistics, English, Classification
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Schepens, Job; Dijkstra, Ton; Grootjen, Franc – Bilingualism: Language and Cognition, 2012
Researchers on bilingual processing can benefit from computational tools developed in artificial intelligence. We show that a normalized Levenshtein distance function can efficiently and reliably simulate bilingual orthographic similarity ratings. Orthographic similarity distributions of cognates and non-cognates were identified across pairs of…
Descriptors: Semantics, Artificial Intelligence, Foreign Countries, Instructional Effectiveness
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Baron, R. J. – International Journal Of Man-Machine Studies, 1974
A report which describes a theory and corresponding model for the neural basis of language. A detailed functional description is given for elementary visual-linguistic processes. (Author)
Descriptors: Artificial Intelligence, Language, Language Research, Linguistic Theory
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Mulford, George W. – Computers and the Humanities, 1989
Outlines the history of semantically based programs that have influenced the design of computer assisted language instruction (CALI) programs. Describes early attempts to make intelligent CALI as well as current projects, including the Foreign Language Adventure Game, developed at the University of Delaware. Describes some important…
Descriptors: Artificial Intelligence, Computational Linguistics, Computer Assisted Instruction, Computer Software
Psotka, Joseph; And Others – 1988
Methods and approaches used at the U.S. Army Research Institute to investigate intelligent computer-assisted foreign language instruction are discussed. The research described explores the use of hypertext and natural language processing for improving language training by articulating student knowledge structures and for providing, incidentally, a…
Descriptors: Artificial Intelligence, Cognitive Ability, Communicative Competence (Languages), Computational Linguistics
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