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Rana Abu-Zhaya; Inbal Arnon – Language Learning, 2024
Making adults learn from larger linguistic units can facilitate learning article-noun agreement. Here we ask whether initial exposure to larger units improves learning by increasing the predictive associations between the article and noun. Using an artificial language learning paradigm, we taught 106 Hebrew-speaking participants novel article-noun…
Descriptors: Prediction, Grammar, Second Language Instruction, Second Language Learning
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
Joshua Buffington – ProQuest LLC, 2023
For many people, learning a second language as an adult is a challenging endeavor. Much interest in the study of adult second language learning has concerned the type of input that learners receive in their second language, with findings suggesting that second language learners are often exposed to a register of speech called 'foreigner talk' that…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, Memory
Poletiek, Fenna H.; Conway, Christopher M.; Ellefson, Michelle R.; Lai, Jun; Bocanegra, Bruno R.; Christiansen, Morten H. – Cognitive Science, 2018
It has been suggested that external and/or internal limitations paradoxically may lead to superior learning, that is, the concepts of "starting small" and "less is more" (Elman, 1993; Newport, 1990). In this paper, we explore the type of incremental ordering during training that might help learning, and what mechanism explains…
Descriptors: Grammar, Artificial Languages, Learning Processes, Teaching Methods
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
Weber, Kirsten; Christiansen, Morten H.; Indefrey, Peter; Hagoort, Peter – Language Learning, 2019
New linguistic information must be integrated into our existing language system. Using a novel experimental task that incorporates a syntactic priming paradigm into artificial language learning, we investigated how new grammatical regularities and words are learned. This innovation allowed us to control the language input the learner received,…
Descriptors: Syntax, Second Language Learning, Task Analysis, Priming
Spit, Sybren; Andringa, Sible; Rispens, Judith; Aboh, Enoch O. – Language Learning and Development, 2022
Research consistently shows that adults engaged in tutored acquisition benefit from explicit instruction in several linguistic domains. For preschool children, it is often assumed that such explicit instruction does not make a difference. In the present study, we investigated whether explicit instruction affected young learners in acquiring a…
Descriptors: Teaching Methods, Kindergarten, Eye Movements, Pictorial Stimuli
Radulescu, Silvia; Wijnen, Frank; Avrutin, Sergey – Language Learning and Development, 2020
From limited evidence, children track the regularities of their language impressively fast and they infer generalized rules that apply to novel instances. This study investigated what drives the inductive leap from memorizing specific items and statistical regularities to extracting abstract rules. We propose an innovative entropy model that…
Descriptors: Linguistic Input, Language Acquisition, Grammar, Learning Processes
Chen, Tsung-Ying – Language Acquisition: A Journal of Developmental Linguistics, 2020
In two artificial grammar learning experiments, we tested the learnability of tonal phonotactics forbidding non-domain-final rising tones (*NonFinalR) against the phonotactics banning non-domain-final high-level tones (*NonFinalH). We propose that a firm phonetic ground drives a presumably innate inductive bias favoring *NonFinalR and against…
Descriptors: Grammar, Artificial Languages, Intonation, Phonology
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
Federica Bulgarelli – ProQuest LLC, 2018
A well-known challenge for language learners is that the input is typically produced by a variety of speakers, each with distinct vocal characteristics (Liberman, Harris, Hoffman, & Griffith, 1957). Accordingly, many studies have indicated that talker variability leads to processing costs for learners across the lifespan (Jusczyk & Pisoni,…
Descriptors: Linguistic Input, Second Language Learning, Second Language Instruction, Language Processing
Aslin, Richard N.; Newport, Elissa L. – Language Learning, 2014
In the past 15 years, a substantial body of evidence has confirmed that a powerful distributional learning mechanism is present in infants, children, adults and (at least to some degree) in nonhuman animals as well. The present article briefly reviews this literature and then examines some of the fundamental questions that must be addressed for…
Descriptors: Linguistic Input, Grammar, Language Research, Computational Linguistics
McDonough, Kim; Fulga, Angelica – Language Learning, 2015
Situated within second language (L2) research about the acquisition of morphosyntax, this study investigated English L2 speakers' detection and primed production of a novel construction with morphological and structural features. We report on two experiments with Thai (n = 69) and Farsi (n = 70) English L2 speakers, respectively, carried out an…
Descriptors: Second Language Learning, Sentence Structure, Language Research, English (Second Language)
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
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