---
title: "Who cites QCRI @ DSL 2016: Spoken — 12 citing papers"
description: "12 papers of the Elamur Research library cite «QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features», found in their…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [QCRI @ DSL 2016: Spoken Arabic Dialect…](https://md.research.elamur.ai/free/en/papers/eldesouki-2016-qcri-dsl-2016-spoken-arabic/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/eldesouki-2016-qcri-dsl-2016-spoken-arabic/)

1. **[Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task](https://md.research.elamur.ai/free/en/papers/malmasi-2016-discriminating-between-similar-languages/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shervin Malmasi, Marcos Zampieri, Nikola Ljubešić, et al.*2016 · 287 citations*
2. **[Automatic Language Identification in Texts: A Survey](https://md.research.elamur.ai/free/en/papers/jauhiainen-2019-automatic-language-identification-texts/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Tommi Jauhiainen, Marco Lui, Marcos Zampieri, et al.*2019 · 277 citations*
3. **[Learning from Relatives: Unified Dialectal Arabic Segmentation](https://md.research.elamur.ai/free/en/papers/samih-2017-learning-relatives-unified-dialectal-arabic/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Younes Samih, Mohamed Eldesouki, Mohammed Attia, et al.*2017 · 37 citations*
4. [**Automatic Arabic Dialect Identification Systems for Written Texts: A Survey arXiv:2009.12622**Maha J. Althobaiti*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/althobaiti-2020-automatic-arabic-dialect-identification-systems/)
5. [**Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM**Mohamed Eldesouki, Younes Samih, Ahmed Abdelali, et al.*2017 · 16 citations*](https://md.research.elamur.ai/free/en/papers/eldesouki-2017-arabic-multi-dialect-segmentation-bi/)
6. **[Neural Network Architectures for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/michon-2018-neural-network-architectures-arabic-dialect/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Elise Michon, Minh Quang Pham, Josep Crego, et al.*2018 · 13 citations*
7. **[Team Alexa at NADI Shared Task](https://md.research.elamur.ai/free/en/papers/younes-2020-team-alexa-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mutaz Younes, Nour Al-khdour, Mohammad AL-Smadi*2020 · 5 citations*
8. [**Classifier Ensembles for Dialect and Language Variety Identification arXiv:1808.04800**Liviu P. Dinu, Alina Maria Ciobanu, Marcos Zampieri, et al.*2018 · 4 citations*](https://md.research.elamur.ai/free/en/papers/dinu-2018-classifier-ensembles-dialect-language-variety/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/eldesouki-2016-qcri-dsl-2016-spoken-arabic/) — QCRI @ DSL 2016: Spoken Arabic Dialect Identification Using Textual Features