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Yasmine Tachakourt; Outhmane Rassili – International Journal of Multilingualism, 2024
This study aims to extend statistical learning (SL) research to multilinguals and provide an insight into what could facilitate word segmentation. We studied how the number of cues available in the input as well as the number of languages spoken influence SL and word segmentation. We used two SL tasks: one involving the tracking of transitional…
Descriptors: Tone Languages, Multilingualism, Bilingualism, Second Language Learning
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Muylle, Merel; Bernolet, Sarah; Hartsuiker, Robert J. – Language Learning, 2020
Several studies found cross-linguistic structural priming with various language combinations. Here, we investigated the role of two important domains of language variation: case marking and word order, for transitive and ditransitive structures. We varied these features in an artificial language learning paradigm, using three different artificial…
Descriptors: Bilingualism, Priming, Language Processing, Language Variation
Shuxiao Gong – ProQuest LLC, 2022
Understanding how native speakers acquire the phonological patterns in their language is a key task for the field of phonology. Numerous studies have suggested that phonological learning is a biased process: certain phonological patterns are easily accessed and learned by the speakers, while others show acquisition difficulties. These differences…
Descriptors: Phonology, Native Speakers, Language Patterns, Language Acquisition
David Abugaber – ProQuest LLC, 2022
Learning new languages is a complex task involving both explicit and implicit processes (i.e., that do/do not involve awareness). Understanding how these processes interact is essential to a full account of second language (L2) learning, but accounts vary as to whether explicit processes help (e.g., DeKeyser, 2007), hinder (e.g., Ellis &…
Descriptors: Second Language Instruction, Second Language Learning, Artificial Languages, Task Analysis
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Cooper, Angela; Paquette-Smith, Melissa; Bordignon, Caterina; Johnson, Elizabeth K. – Language Learning and Development, 2023
Foreign accents can vary considerably in the degree to which they deviate from the listener's native accent, but little is known about how the relationship between a speaker's accent and a listener's native language phonology mediates adaptation. Using an artificial accent methodology, we addressed this issue by constructing a set of three…
Descriptors: Pronunciation, Auditory Perception, Adults, Toddlers
Dionysia Saratsli – ProQuest LLC, 2022
It is often assumed that cross-linguistically more prevalent distinctions are easier to learn potentially due to their conceptual naturalness. Prior work supports this hypothesis in phonology, morphology and syntax but has not addressed semantics. This work aims to unravel the potential factors that contribute to the learnability and the…
Descriptors: Semantics, Grammar, English, Artificial Languages
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Lany, Jill; Shoaib, Amber – Journal of Child Language, 2020
There is considerable controversy over the factors that shape infants' developing knowledge of grammar. Work with artificial languages suggests that infants' ability to track statistical regularities within the speech they hear could, in principle, support grammatical development. However, little work has tested whether infants' performance on…
Descriptors: Individual Differences, Infants, Grammar, Language Acquisition
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de la Cruz-Pavía, Irene; Elordieta, Gorka; Villegas, Julián; Gervain, Judit; Laka, Itziar – International Journal of Bilingual Education and Bilingualism, 2022
In two artificial language learning experiments with four groups of highly proficient Basque-Spanish bilinguals and two groups of Spanish monolinguals, we examine the cues that allow adult listeners to parse new input into phrases. In addition, we investigate which factors lead bilinguals to switch between the segmentation strategies…
Descriptors: Phonemes, Native Language, Language Minorities, Languages
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Austin, Alison C.; Schuler, Kathryn D.; Furlong, Sarah; Newport, Elissa L. – Language Learning and Development, 2022
When linguistic input contains inconsistent use of grammatical forms, children produce these forms more consistently, a process called "regularization." Deaf children learning American Sign Language from parents who are non-native users of the language regularize their parents' inconsistent usages. In studies of artificial languages…
Descriptors: Linguistic Input, Deafness, Age Differences, Language Acquisition
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Tamariz, Mónica; Roberts, Seán G.; Martínez, J. Isidro; Santiago, Julio – Cognitive Science, 2018
We investigate the emergence of iconicity, specifically a bouba-kiki effect in miniature artificial languages under different functional constraints: when the languages are reproduced and when they are used communicatively. We ran transmission chains of (a) participant dyads who played an interactive communicative game and (b) individual…
Descriptors: Artificial Languages, Educational Games, Geometric Concepts, Language Usage
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Prince, Jon B.; Stevens, Catherine J.; Jones, Mari Riess; Tillmann, Barbara – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Despite the empirical evidence for the power of the cognitive capacity of implicit learning of structures and regularities in several modalities and materials, it remains controversial whether implicit learning extends to the learning of temporal structures and regularities. We investigated whether (a) an artificial grammar can be learned equally…
Descriptors: Intonation, Suprasegmentals, Grammar, Task Analysis
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Crespo, Kimberly; Kaushanskaya, Margarita – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The current study examined the role of attention and language ability in nonverbal rule induction performance in a demographically diverse sample of school-age children. Method: The participants included 43 English-speaking monolingual and 65 Spanish-English bilingual children between the ages of 5 and 9 years. Core Language Index…
Descriptors: Role, Learning Processes, Attention Control, Language Skills
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Mansfield, John; Saldana, Carmen; Hurst, Peter; Nordlinger, Rachel; Stoll, Sabine; Bickel, Balthasar; Perfors, Andrew – Cognitive Science, 2022
Inflectional affixes expressing the same grammatical category (e.g., subject agreement) tend to appear in the same morphological position in the word. We hypothesize that this cross-linguistic tendency toward "category clustering" is at least partly the result of a learning bias, which facilitates the transmission of morphology from one…
Descriptors: Morphology (Languages), Morphemes, Grammar, Transfer of Training
Elisabeth Wilhelmina Maria Hopman – ProQuest LLC, 2022
Generalization is the ability to apply regularities to novel instances, for example, correctly guessing that the plural for the novel English word 'wug' should be 'wugs'. Early language learners make overgeneralization errors like 'mouses', applying regularities beyond their attested uses. Theories concerned with the question of how learners learn…
Descriptors: Generalization, Second Language Learning, Second Language Instruction, Error Patterns
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Thontirawong, Pipat; Chinchanachokchai, Sydney – Marketing Education Review, 2021
In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…
Descriptors: Marketing, Artificial Languages, Career Development, Time Management
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