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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
Murakami, Akira; Ellis, Nick C. – Language Learning, 2022
We investigated whether the accuracy of grammatical morphemes in second language (L2) learners' writing is associated with usage-based distributional factors. Specifically, we examined whether the accuracy of L2 English inflectional morphemes is associated with the availability (i.e., token frequency) and contingency (i.e., token frequency…
Descriptors: Grammar, Morphemes, Second Language Learning, Second Language Instruction
Havron, Naomi; Babineau, Mireille; Fiévet, Anne-Caroline; de Carvalho, Alex; Christophe, Anne – Language Learning, 2021
A previous study has shown that children use recent input to adapt their syntactic predictions and use these adapted predictions to infer the meaning of novel words. In the current study, we investigated whether children could use this mechanism to disambiguate words whose interpretation as a noun or a verb is ambiguous. We tested 2- to 4-year-old…
Descriptors: Syntax, Prediction, Linguistic Input, Inferences
Sonbul, Suhad; Schmitt, Norbert – Language Learning, 2013
To date, there has been little empirical research exploring the relationship between implicit and explicit lexical knowledge (of collocations). As a first step in addressing this gap, two laboratory experiments were conducted that evaluate different conditions (enriched, enhanced, and decontextualized) under which both adult native speakers…
Descriptors: Language Research, Phrase Structure, English (Second Language), Priming
Boyd, Jeremy K.; Gottschalk, Erin A.; Goldberg, Adele E. – Language Learning, 2009
All natural languages rely on sentence-level form-meaning associations (i.e., linking rules) to encode propositional content about who did what to whom. Although these associations are recognized as foundational in many different theoretical frameworks (Goldberg, 1995, 2006; Lidz, Gleitman, & Gleitman, 2003; Pinker, 1984, 1989) and are--at least…
Descriptors: Phrase Structure, Task Analysis, Linguistic Input, Language Acquisition