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Gudmestad, Aarnes; Edmonds, Amanda; Metzger, Thomas – Language Learning, 2019
The current study responds to the call for increased dialogue among different areas of additional language research. Specifically, we bring together learner corpus research and variationist approaches to second language acquisition to advance learner corpus research in two ways: (a) by modeling interlanguage development and variability and (b) by…
Descriptors: Language Research, Error Analysis (Language), Computational Linguistics, Interlanguage
Lyskawa, Paulina; Nagy, Naomi – Language Learning, 2020
We examined case-marking variation in heritage Polish, Russian, and Ukrainian. Comparing heritage to homeland Polish and Ukrainian speakers, we found only a few types and a few tokens of systematic distinction between heritage and homeland varieties. A total of 6,291 instances of nouns and pronouns were extracted from transcribed conversations…
Descriptors: Slavic Languages, Native Language, Second Language Learning, Grammar
Vanhove, Jan – Language Learning, 2017
This study investigated how standard and substandard varieties of first language (L1) Dutch affect grammatical gender assignments to nouns in second language (L2) German. While German distinguishes between masculine, feminine, and neuter gender, the masculine--feminine distinction has nearly disappeared in Standard Dutch. Many substandard Belgian…
Descriptors: Indo European Languages, Standard Spoken Usage, Native Language, Language Research
Gudmestad, Aarnes; House, Leanna; Geeslin, Kimberly L. – Language Learning, 2013
This study constitutes the first statistical analysis to employ a Bayesian multinomial probit model in the investigation of subject expression in first and second language (L2) Spanish. The study analyzes the use of third-person subject-expression forms and demonstrates that the following variables are important for subject expression:…
Descriptors: Bayesian Statistics, Second Language Learning, Native Language, Spanish
Beckner, Clay; Bybee, Joan – Language Learning, 2009
Constituent structure is considered to be the very foundation of linguistic competence and often considered to be innate, yet we show here that it is derivable from the domain-general processes of chunking and categorization. Using modern and diachronic corpus data, we show that the facts support a view of constituent structure as gradient (as…
Descriptors: Linguistic Competence, Language Variation, Semantics, Form Classes (Languages)