AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic

@inproceedings{AlBadrashiny2015AIDA2AH,
  title={AIDA2: A Hybrid Approach for Token and Sentence Level Dialect Identification in Arabic},
  author={Mohamed Al-Badrashiny and Heba Elfardy and Mona T. Diab},
  booktitle={CoNLL},
  year={2015}
}
In this paper, we present a hybrid approach for performing token and sentence levels Dialect Identification in Arabic. Specifically we try to identify whether each token in a given sentence belongs to Modern Standard Arabic (MSA), Egyptian Dialectal Arabic (EDA) or some other class and whether the whole sentence is mostly EDA or MSA. The token level component relies on a Conditional Random Field (CRF) classifier that uses decisions from several underlying components such as language models, a… CONTINUE READING
Highly Cited
This paper has 20 citations. REVIEW CITATIONS

10 Figures & Tables

Topics

Statistics

01020201620172018
Citations per Year

Citation Velocity: 7

Averaging 7 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.