---
title: "Who cites Arabic Dialect Identification Using — 22 citing papers"
description: "22 papers of the Elamur Research library cite «Arabic Dialect Identification Using iVectors and ASR Transcripts», found in their bibliographies…"
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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/) / [Arabic Dialect Identification Using iVectors and…](https://md.research.elamur.ai/free/en/papers/malmasi-2017-arabic-dialect-identification-ivectors-asr/) / cited by

# Who cites «Arabic Dialect Identification Using iVectors and ASR Transcripts»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «Arabic Dialect Identification Using iVectors and ASR Transcripts»](https://md.research.elamur.ai/free/en/papers/malmasi-2017-arabic-dialect-identification-ivectors-asr/)

1. **[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*
2. **[Findings of the VarDial Evaluation Campaign 2017](https://md.research.elamur.ai/free/en/papers/zampieri-2017-findings-vardial-evaluation-campaign/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Nikola Ljubešić, et al.*2017 · 261 citations*
3. **[Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 170 citations*
4. **[UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row](https://md.research.elamur.ai/free/en/papers/butnaru-2018-unibuckernel-reloaded-first-place-arabic/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Andrei Butnaru, Radu Tudor Ionescu*2018 · 39 citations*
5. **[MIT-QCRI Arabic Dialect Identification System for the 2017 Multi-Genre Broadcast Challenge](https://md.research.elamur.ai/free/en/papers/shon-2017-mit-qcri-arabic-dialect-identification/) [IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)](https://md.research.elamur.ai/free/en/venues/ieee-automatic-speech-recognition-and-understanding-workshop-asru/)**Suwon Shon, Ahmed Ali, James Glass*2017 · 37 citations*
6. [**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/)
7. **[Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set](https://md.research.elamur.ai/free/en/papers/ionescu-2018-improving-results-string-kernels-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Radu Tudor Ionescu, Andrei M. Butnaru*2018 · 22 citations*
8. **[VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System](https://md.research.elamur.ai/free/en/papers/waheed-2023-voxarabica-robust-dialect-aware-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Abdul Waheed, Bashar Talafha, Peter Sullivan, et al.*2023 · 20 citations*
9. **[Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Reem AlYami, Rabah Al-Zaidy*2022 · 11 citations*
10. **[Experiments in Cuneiform Language Identification](https://md.research.elamur.ai/free/en/papers/paetzold-2019-experiments-cuneiform-language-identification/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Gustavo Henrique Paetzold, Marcos Zampieri*2019 · 6 citations*
11. [**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/)
12. **[A Corpus-Based Investigation of Contemporary Arabic Dialects Using the SADA Corpus](https://md.research.elamur.ai/free/en/papers/alfattni-2026-corpus-based-investigation-contemporary-arabic/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Ghada Alfattni*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/malmasi-2017-arabic-dialect-identification-ivectors-asr/) — Arabic Dialect Identification Using iVectors and ASR Transcripts
