Arabic Dialect Identification: Experimenting Pre-trained Models and Tools on Country-level Datasets
Author:
Affiliation:
1. Nile University,School of Information Technology and Computer Science,Giza,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10479189/10479228/10479320.pdf?arnumber=10479320
Reference23 articles.
1. Deep models for Arabic dialect identification on benchmarked data;Elaraby
2. The Addition of Arabic as an Official and Working Language of the UN General Assembly and at Diplomatic Conferences
3. CAMeL tools: An open source python toolkit for Arabic natural language processing;Obeid
4. Transformer-based Arabic Dialect Identification
5. Multi-dialect Arabic BERT for country-level dialect identification;Talafha
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