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 - Taylor & Francis, New York. ISBN 978-0367861636 (doi:https://doi.org/10.4324/9781003017325)

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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 Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Education, Health & Human Sciences Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Last Modified:	04 Dec 2023 17:11
URI:	http://gala.gre.ac.uk/id/eprint/33463

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