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Artificial language learning methods as a tool for sociolinguistic research

Artificial language learning methods as a tool for sociolinguistic research

Samara, Anna ORCID: 0000-0001-6503-5181 (2021) Artificial language learning methods as a tool for sociolinguistic research. In: Geeslin, Kimberly, (ed.) The Routledge Handbook of Second Language Acquisition and Sociolinguistics. Routledge, Milton Park, Abingdon-on-Thames, Oxfordshire, England, UK. (In Press)

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Abstract

To study how languages are learned, experimental researchers have developed precisely controlled methods whereby participants learn and get tested on artificial language systems. Recently, these methods have been enriched with social references (e.g., speaker gender cues) which enables research into socially patterned variable language: Languages exhibit variation that depends probabilistically on speaker social characteristics such as one’s social class or gender. This chapter introduces artificial language learning as a tool for sociolinguistic research and summarizes previous research that has used artificial language materials to achieve control over input and learner variables that affect the acquisition of social variation.

Item Type: Book Section
Uncontrolled Keywords: Artificial language learning, linguistic variation, probabilistic social patterning, sociolinguistics.
Subjects: L Education > L Education (General)
P Language and Literature > P Philology. Linguistics
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Department of Psychology, Social Work & Counselling
Last Modified: 25 Aug 2021 10:37
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33463

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