Editorial: using smartphones to collect linguistic data

Author:

Hilton Nanna Haug1,Leemann Adrian2

Affiliation:

1. Centre for Language and Cognition Groningen , University of Groningen , Oude Kijk i/t Jatstraat 26 , Groningen , 9712 EK , Netherlands

2. Center for the Study of Language and Society , Bern , Switzerland

Abstract

Abstract In the last decade, we have seen a number of studies come to life in which the collection of data for linguistic research has not followed a traditional path of holding in-person interviews or experiments, or using surveys for eliciting judgements, but instead have made use of smartphone technology and applications for collecting data. The current collection is the first to include papers with reflections from the linguistics community about the use of smartphone technology for linguistic research. The scope of the projects presented in this collection is a broad one. They have the mode of data collection, i.e. through a phone, in common, but all present different opportunities and challenges. The studies discussed in this introduction use smartphones to investigate language variation and change, clinical linguistics, psycholinguistics, and the sociology of language. Our hope is that this issue will provide ideas and inspiration, as well as access to readily usable tools, to keep researchers working, in a remote fashion, towards increasing our understanding the human competence of language.

Publisher

Walter de Gruyter GmbH

Subject

Linguistics and Language,Language and Linguistics

Reference16 articles.

1. Bird, Steven, Florian R. Hanke, Oliver Adams & Haejoong Lee. 2014. Aikuma: A mobile app for collaborative language documentation. In Proceedings of the 2014 Workshop on the Use of Computational Methods in the Study of Endangered Languages, 1–5.

2. Bonney, Rick, Tina B. Phillips, Heidi L. Ballard & Jody W. Enck. 2016. Can citizen science enhance public understanding of science? Public Understanding of Science 25. 2–16. https://doi.org/10.1177/0963662515607406.

3. Bucheli Berger, Claudia & Elvira Glaser. 2002. The syntactic Atlas of Swiss German dialects: Empirical and methodological problems. In Sjef Barbiers, Leonie Cornips & Susanne van der Kleij (eds.), Syntactic microvariation, vol. II, 41–74. Amsterdam: Meertens Institute Electronic Publications in Linguistics.

4. De Decker, Paul & Jennifer Nycz. 2011. For the record: Which digital media can be used for sociophonetic analysis? University of Pennsylvania Working Papers in Linguistics 17(2). 7.

5. De Vries, Nic J., Marelie H. Davel, Jaco Badenhorst, Willem D. Basson, Febe De Wet, Etienne Barnard & Alta De Waal. 2014. A smartphone-based ASR data collection tool for under-resourced languages. Speech Communication 56. 119–131. https://doi.org/10.1016/j.specom.2013.07.001.

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