Creating a Lexicon of Bavarian Dialect by Means of Facebook Language Data and Crowdsourcing

Manuel Burghardt, Daniel Granvogl, Christian Wolff


Abstract
Data acquisition in dialectology is typically a tedious task, as dialect samples of spoken language have to be collected via questionnaires or interviews. In this article, we suggest to use the “web as a corpus” approach for dialectology. We present a case study that demonstrates how authentic language data for the Bavarian dialect (ISO 639-3:bar) can be collected automatically from the social network Facebook. We also show that Facebook can be used effectively as a crowdsourcing platform, where users are willing to translate dialect words collaboratively in order to create a common lexicon of their Bavarian dialect. Key insights from the case study are summarized as “lessons learned”, together with suggestions for future enhancements of the lexicon creation approach.
Anthology ID:
L16-1321
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2029–2033
Language:
URL:
https://aclanthology.org/L16-1321
DOI:
Bibkey:
Cite (ACL):
Manuel Burghardt, Daniel Granvogl, and Christian Wolff. 2016. Creating a Lexicon of Bavarian Dialect by Means of Facebook Language Data and Crowdsourcing. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2029–2033, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
Creating a Lexicon of Bavarian Dialect by Means of Facebook Language Data and Crowdsourcing (Burghardt et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1321.pdf