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Elazar, Amit; Alhama, Raquel G.; Bogaerts, Louisa; Siegelman, Noam; Baus, Cristina; Frost, Ram – Cognitive Science, 2022
How does prior linguistic knowledge modulate learning in verbal auditory statistical learning (SL) tasks? Here, we address this question by assessing to what extent the frequency of syllabic co-occurrences in the learners' native language determines SL performance. We computed the frequency of co-occurrences of syllables in spoken Spanish through…
Descriptors: Prior Learning, Native Language, Syllables, Auditory Perception
Do, Youngah; Mooney, Shannon – Journal of Child Language, 2022
This article examines whether children alter a variable phonological pattern in an artificial language towards a phonetically-natural form. We address acquisition of a variable rounding harmony pattern through the use of two artificial languages; one with dominant harmony pattern, and another with dominant non-harmony pattern. Overall, children…
Descriptors: Language Variation, Vowels, Phonology, Learning Processes
Lichtman, Karen – Applied Linguistics, 2021
A great deal of research explores how implicit vs. explicit instruction affects second language learners' grammatical accuracy, generally finding that explicit instruction increases accuracy. However, no research to date has examined the impact of implicit/explicit instruction on learners' fluency. Additionally, nearly all the research has only…
Descriptors: Artificial Languages, Second Language Learning, Language Fluency, Second Language Instruction
Williams, Glenn P.; Panayotov, Nikolay; Kempe, Vera – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Many bidialectal children grow up speaking a variety (e.g., a regional dialect) that differs from the variety in which they subsequently acquire literacy. Previous computational simulations and artificial literacy learning experiments with adults have demonstrated lower accuracy in reading "contrastive" words for which dialect variants…
Descriptors: Dialects, Bilingualism, Language Variation, Contrastive Linguistics
Jonathan Serfaty; Raquel Serrano – Language Learning, 2024
This study investigated how much practice is necessary for learners to attain durable second language (L2) grammar knowledge. Using digital flashcards, 119 participants practiced translating 12 sentences into an artificial language, followed by feedback, until they had typed all sentences correctly. Participants repeated this activity in one, two,…
Descriptors: Grammar, Second Language Learning, Second Language Instruction, Translation
Stärk, Katja; Kidd, Evan; Frost, Rebecca L. A. – Language Learning, 2023
Statistical learning, the ability to extract regularities from input (e.g., in language), is likely supported by learners' prior expectations about how component units co-occur. In this study, we investigated how adults' prior experience with sublexical regularities in their native language influences performance on an empirical language learning…
Descriptors: Linguistic Input, Adults, Prior Learning, Task Analysis
Isbilen, Erin S.; McCauley, Stewart M.; Kidd, Evan; Christiansen, Morten H. – Cognitive Science, 2020
The computations involved in statistical learning have long been debated. Here, we build on work suggesting that a basic memory process, "chunking," may account for the processing of statistical regularities into larger units. Drawing on methods from the memory literature, we developed a novel paradigm to test statistical learning by…
Descriptors: Statistics, Cognitive Processes, Teaching Methods, Recall (Psychology)
Hoppe, Dorothée B.; Rij, Jacolien; Hendriks, Petra; Ramscar, Michael – Cognitive Science, 2020
Linguistic category learning has been shown to be highly sensitive to linear order, and depending on the task, differentially sensitive to the information provided by preceding category markers ("premarkers," e.g., gendered articles) or succeeding category markers ("postmarkers," e.g., gendered suffixes). Given that numerous…
Descriptors: Discrimination Learning, Computational Linguistics, Natural Language Processing, Artificial Languages
Raviv, Limor; Meyer, Antje; Lev-Ari, Shiri – Cognitive Science, 2020
Social network structure has been argued to shape the structure of languages, as well as affect the spread of innovations and the formation of conventions in the community. Specifically, theoretical and computational models of language change predict that sparsely connected communities develop more systematic languages, while tightly knit…
Descriptors: Social Networks, Language Usage, Language Research, Artificial Languages
Li, Daoxin; Schuler, Kathryn D. – Language Acquisition: A Journal of Developmental Linguistics, 2023
Languages differ regarding the depth, structure, and syntactic domains of recursive structures. Even within a single language, some structures allow infinite self-embedding while others are more restricted. For example, when expressing ownership relation, English allows infinite embedding of the prenominal genitive "-s," whereas the…
Descriptors: Language Acquisition, Linguistic Input, Artificial Languages, Learning Processes
Acha, Joana; Rodriguez, Nuria; Perea, Manuel – Journal of Research in Reading, 2023
Background: Letter knowledge is crucial in the first stages of reading development. It supports learning letter-sound mappings and the identification of the letters that make up words. Previous studies have investigated the longitudinal impact of early letter knowledge on children's further word reading abilities. This study employed an artificial…
Descriptors: Alphabets, Phoneme Grapheme Correspondence, Foreign Countries, Reading Skills
Havron, Naomi; Arnon, Inbal – Journal of Child Language, 2021
Multiword units play an important role in language learning and use. It was proposed that learning from such units can facilitate mastery of certain grammatical relations, and that children and adults differ in their use of multiword units during learning, contributing to their varying language-learning trajectories. Accordingly, adults learn…
Descriptors: Language Acquisition, Phrase Structure, Grammar, Form Classes (Languages)
Mengliyev, Bakhtiyor; Shahabitdinova, Shohida; Khamroeva, Shahlo; Gulyamova, Shakhnoza; Botirova, Adiba – Journal of Language and Linguistic Studies, 2021
This article is dedicated to the issue of morphological analysis and synthesis of word forms in a linguistic analyzer, which is a significant feature of corpus linguistics. The article discourses in detail the morphological analysis, the creation of artificial language, grammar and analyzer, the general scheme of the analysis program that…
Descriptors: Morphology (Languages), Computational Linguistics, Computer Software, Artificial Languages
Carter, William Thomas Jeffrey – ProQuest LLC, 2019
Despite OT's success, opaque alternations prove difficult to capture with constraints, and some violate the theory's formal restrictions. Here, I propose a novel account of opacity drawing upon developments in psychology. Rather than one grammar, I propose a dual-system model with implicit and explicit mechanisms, a domain-specific OT-like system…
Descriptors: Grammar, Language Patterns, Models, Psychology
Walker, Neil; Monaghan, Padraic; Schoetensack, Christine; Rebuschat, Patrick – Language Learning, 2020
Learning language requires acquiring the grammatical categories of words in the language, but learning those categories requires understanding the role of words in the syntax. In this study, we examined how this chicken and egg problem is resolved by learners of an artificial language comprising nouns, verbs, adjectives, and case markers following…
Descriptors: Syntax, Grammar, Vocabulary Development, Nouns

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