🔗 Who cites «QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features»

1. Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared TaskInternational Conference on Computational Linguistics (COLING)Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, et al.2016 · 287 citations
2. Automatic Language Identification in Texts: A SurveyJournal of Artificial Intelligence ResearchTommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.2019 · 277 citations
3. Learning from Relatives: Unified Dialectal Arabic SegmentationConference on Computational Natural Language Learning (CoNLL)Younes Samih, Mohamed Eldesouki, Mohammed Attia, et al.2017 · 37 citations
4. Automatic Arabic Dialect Identification Systems for Written Texts: A SurveyarXiv:2009.12622Maha J. Althobaiti2020 · 24 citations
5. Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVMMohamed Eldesouki, Younes Samih, Ahmed Abdelali, et al.2017 · 16 citations
6. Neural Network Architectures for Arabic Dialect IdentificationInternational Conference on Computational Linguistics (COLING)Elise Michon, Minh Quang Pham, Josep Crego, et al.2018 · 13 citations
7. Team Alexa at NADI Shared TaskArabic Natural Language Processing Workshop (WANLP)Mutaz Younes, Nour Al-khdour, Mohammad AL-Smadi2020 · 5 citations
8. Classifier Ensembles for Dialect and Language Variety IdentificationarXiv:1808.04800Liviu P. Dinu, Alina Maria Ciobanu, Marcos Zampieri, et al.2018 · 4 citations

4 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/eldesouki-2016-qcri-dsl-2016-spoken-arabic/cited-by/