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}
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