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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
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
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
Hudson Kam, Carla L. – Language Learning and Development, 2019
The phenomenon of regularization -- learners imposing systematicity on inconsistent variation in language input -- is complex. Studies show that children are more likely to regularize than adults, but adults will also regularize under certain circumstances. Exactly why we see the pattern of behaviour that we do is not well understood, however.…
Descriptors: Language Variation, Linguistic Input, Interference (Learning), Language Acquisition
Hudson Kam, Carla L. – Language Learning and Development, 2018
Adult learners know that language is for communicating and that there are patterns in the language that need to be learned. This affects the way they engage with language input; they search for form-meaning linkages, and this effortful engagement could interfere with their learning, especially for things like grammatical gender that often have at…
Descriptors: Infants, Adult Learning, Grammar, Language Patterns
McDonough, Kim; Trofimovich, Pavel – Bilingualism: Language and Cognition, 2013
This study compared the effectiveness of balanced and skewed input at facilitating the acquisition of the transitive construction in Esperanto, characterized by the accusative suffix "-n" and variable word order (SVO, OVS). Thai university students (N = 98) listened to 24 sentences under skewed (one noun with high token frequency) or…
Descriptors: Linguistic Input, Second Language Learning, Morphemes, Artificial Languages
Kapa, Leah Lynn – ProQuest LLC, 2013
Prior research has established an executive function advantage among bilinguals as compared to monolingual peers. These non-linguistic cognitive advantages are largely assumed to result from the experience of managing two linguistic systems. However, the possibility remains that the relationship between bilingualism and executive function is…
Descriptors: Artificial Languages, Executive Function, Adults, Bilingualism
Austin, Alison C. – ProQuest LLC, 2010
When linguistic input provides inconsistent evidence for grammatical structures, children tend to regularize. For example, children learning languages from parents who are imperfect users of the language regularize their parents' inconsistent usages (Singleton & Newport, 2004). Previous studies (Hudson Kam & Newport, 2005, 2009) have examined this…
Descriptors: Evidence, Sentences, Form Classes (Languages), Grammar
Hudson Kam, Carla L.; Newport, Elissa L. – Cognitive Psychology, 2009
When natural language input contains grammatical forms that are used probabilistically and inconsistently, learners will sometimes reproduce the inconsistencies; but sometimes they will instead regularize the use of these forms, introducing consistency in the language that was not present in the input. In this paper we ask what produces such…
Descriptors: Form Classes (Languages), Artificial Languages, Adult Learning, Linguistic Input