Abstract
This paper presents YOUDACC, an automatically annotated large-scale multi-dialectal Arabic corpus collected from user comments on Youtube videos. Our corpus covers different groups of dialects: Egyptian (EG), Gulf (GU), Iraqi (IQ), Maghrebi (MG) and Levantine (LV). We perform an empirical analysis on the crawled corpus and demonstrate that our location-based proposed method is effective for the task of dialect labeling.- Anthology ID:
- L14-1456
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1246–1251
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/558_Paper.pdf
- DOI:
- Cite (ACL):
- Ahmed Salama, Houda Bouamor, Behrang Mohit, and Kemal Oflazer. 2014. YouDACC: the Youtube Dialectal Arabic Comment Corpus. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1246–1251, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- YouDACC: the Youtube Dialectal Arabic Comment Corpus (Salama et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/558_Paper.pdf