@inproceedings{burghardt-etal-2016-creating,
title = "Creating a Lexicon of {B}avarian Dialect by Means of {F}acebook Language Data and Crowdsourcing",
author = "Burghardt, Manuel and
Granvogl, Daniel and
Wolff, Christian",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1321",
pages = "2029--2033",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Creating a Lexicon of Bavarian Dialect by Means of Facebook Language Data and Crowdsourcing
%A Burghardt, Manuel
%A Granvogl, Daniel
%A Wolff, Christian
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 may
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F burghardt-etal-2016-creating
%X 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.
%U https://aclanthology.org/L16-1321
%P 2029-2033
Markdown (Informal)
[Creating a Lexicon of Bavarian Dialect by Means of Facebook Language Data and Crowdsourcing](https://aclanthology.org/L16-1321) (Burghardt et al., LREC 2016)
ACL