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Minority language Twitter: part-of-speech tagging and analysis of Irish Tweets

Lynn, Teresa, Scannell, Kevin and Maguire, Eimear (2015) Minority language Twitter: part-of-speech tagging and analysis of Irish Tweets. In: ACL 2015 Workshop on Noisy User-generated Text 2015 (W-NUT), 31 July 2015, Beijing, China.

Abstract
Noisy user-generated text poses problems for natural language processing. In this paper, we show that this statement also holds true for the Irish language. Irish is regarded as a low-resourced language, with limited annotated corpora available to NLP researchers and linguists to fully analyse the linguistic patterns in language use in social media. We contribute to recent advances in this area of research by reporting on the development of part-of speech annotation scheme and annotated corpus for Irish language tweets. We also report on state-of-the-art tagging results of training and testing three existing POStaggers on our new dataset.
Metadata
Item Type:Conference or Workshop Item (Lecture)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Social media; Irish language; Gaeilge;
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Proceedings of the Workshop on Noisy User-generated Text. .
Official URL:http://dx.doi.org/10.18653/v1/W15-4301
Copyright Information:© 2015 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Fulbright Commision of Ireland (Fulbright Enterprise-Ireland Award 2014-2015), Science Foundation Ireland through the CNGL Programme (Grant 12/CE/I2267) in the ADAPT Centre (www.adaptcentre.ie) at Dublin City University, The second author was partially supported by US NSF grant 1159174
ID Code:23604
Deposited On:30 Jul 2019 09:31 by Thomas Murtagh . Last Modified 30 Jul 2019 09:31
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