Summary of the paper
| Title | YouDACC: the Youtube Dialectal Arabic Comment Corpus |
|---|---|
| Authors | Ahmed Salama, Houda Bouamor, Behrang Mohit and Kemal Oflazer |
| 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. |
| Topics | Acquisition, Multilinguality |
Full paper  |
YouDACC: the Youtube Dialectal Arabic Comment Corpus |
| Bibtex | @InProceedings{SALAMA14.558, author = {Ahmed Salama and Houda Bouamor and Behrang Mohit and Kemal Oflazer}, title = {YouDACC: the Youtube Dialectal Arabic Comment Corpus}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |