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Caroline F. Rowland; Amy Bidgood; Gary Jones; Andrew Jessop; Paula Stinson; Julian M. Pine; Samantha Durrant; Michelle S. Peter – Language Learning, 2025
A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…
Descriptors: Vocabulary Development, Comparative Analysis, Computational Linguistics, Language Skills
Cabiddu, Francesco; Bott, Lewis; Jones, Gary; Gambi, Chiara – Language Learning, 2023
Word segmentation is a crucial step in children's vocabulary learning. While computational models of word segmentation can capture infants' performance in small-scale artificial tasks, the examination of early word segmentation in naturalistic settings has been limited by the lack of measures that can relate models' performance to developmental…
Descriptors: Phonemes, Infants, Task Analysis, Phonemic Awareness
Paquot, Magali; Rubin, Rachel; Vandeweerd, Nathan – Language Learning, 2022
The main objective of this Methods Showcase Article is to show how the technique of adaptive comparative judgment, coupled with a crowdsourcing approach, can offer practical solutions to reliability issues as well as to address the time and cost difficulties associated with a text-based approach to proficiency assessment in L2 research. We…
Descriptors: Comparative Analysis, Decision Making, Language Proficiency, Reliability
Nahatame, Shingo – Language Learning, 2021
Although text readability has traditionally been measured based on simple linguistic features, recent studies have employed natural language processing techniques to develop new readability formulas that better represent theoretical accounts of reading processes. This study evaluated the construct validity of different readability formulas,…
Descriptors: Readability, Natural Language Processing, Readability Formulas, Reading Processes
Chuang, Yu-Ying; Bell, Melanie J.; Banke, Isabelle; Baayen, R. Harald – Language Learning, 2021
This study addresses whether there is anything special about learning a third language, as compared to learning a second language, that results solely from the order of acquisition. We use a computational model based on the mathematical framework of Linear Discriminative Learning to explore this question for the acquisition of a small trilingual…
Descriptors: Multilingualism, Second Language Learning, Computational Linguistics, Psycholinguistics
Öksüz, Dogus; Brezina, Vaclav; Rebuschat, Patrick – Language Learning, 2021
This study investigated the effects of individual word frequency, collocational frequency, and association on L1 and L2 collocational processing. An acceptability judgment task was administered to L1 and L2 speakers of English. Response times were analyzed using mixed-effects modeling for 3 types of adjective-noun pairs: (a) high-frequency, (b)…
Descriptors: Phrase Structure, Native Language, Second Language Learning, English (Second Language)
Gablasova, Dana; Brezina, Vaclav; McEnery, Tony – Language Learning, 2017
This article focuses on the use of collocations in language learning research (LLR). Collocations, as units of formulaic language, are becoming prominent in our understanding of language learning and use; however, while the number of corpus-based LLR studies of collocations is growing, there is still a need for a deeper understanding of factors…
Descriptors: Phrase Structure, Computational Linguistics, Language Research, Second Language Learning
Siyanova-Chanturia, Anna; Spina, Stefania – Language Learning, 2015
Research into frequency intuition has focused primarily on native (L1) and, to a lesser degree, nonnative (L2) speaker intuitions about single word frequency. What remains a largely unexplored area is L1 and L2 intuitions about collocation (i.e., phrasal) frequency. To bridge this gap, the present study aimed to answer the following question: How…
Descriptors: Intuition, Second Language Learning, Native Speakers, Phrase Structure
Hamrick, Phillip – Language Learning, 2014
Humans are remarkably sensitive to the statistical structure of language. However, different mechanisms have been proposed to account for such statistical sensitivities. The present study compared adult learning of syntax and the ability of two models of statistical learning to simulate human performance: Simple Recurrent Networks, which learn by…
Descriptors: Second Language Learning, Role, Syntax, Computational Linguistics