---
title: "Who cites Can Modern Standard Arabic — 6 citing papers"
description: "6 papers of the Elamur Research library cite «Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a…"
canonical: "https://research.elamur.ai/free/en/papers/kwaik-2019-can-modern-standard-arabic-approaches/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Can Modern Standard Arabic Approaches be used for…](https://md.research.elamur.ai/free/en/papers/kwaik-2019-can-modern-standard-arabic-approaches/) / cited by

# Who cites «Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study»](https://md.research.elamur.ai/free/en/papers/kwaik-2019-can-modern-standard-arabic-approaches/)

1. **[Domain Adaptation for Arabic Cross-Domain and Cross-Dialect Sentiment Analysis from Contextualized Word Embedding](https://md.research.elamur.ai/free/en/papers/mekki-2021-domain-adaptation-arabic-cross-domain/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Abdellah El Mekki, Abdelkader El Mahdaouy, Ismail Berrada, et al.*2021 · 41 citations*
2. **[An Arabic Tweets Sentiment Analysis Dataset (ATSAD) using Distant Supervision and Self Training](https://md.research.elamur.ai/free/en/papers/kwaik-2020-arabic-tweets-sentiment-analysis-dataset/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik, et al.*2020 · 38 citations*
3. [**Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages arXiv:2501.00425**Or Haim Anidjar, Revital Marbel, Roi Yozevitch*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/anidjar-2024-whisper-turns-stronger-augmenting-wav2vec/)
4. **[Pre-trained Models or Feature Engineering: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/kwaik-2022-pre-trained-models-or-feature/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Kathrein Abu Kwaik, Stergios Chatzikyriakidis, Simon Dobnik*2022 · 2 citations*
5. **[An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi Corpus](https://md.research.elamur.ai/free/en/papers/gugliotta-2023-empirical-analysis-task-relations-multi/) [Conference on Language, Data and Knowledge](https://md.research.elamur.ai/free/en/venues/ldk/)**Elisa Gugliotta, Marco Dinarelli*2023 · 1 citation*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/kwaik-2019-can-modern-standard-arabic-approaches/) — Can Modern Standard Arabic Approaches be used for Arabic Dialects? Sentiment Analysis as a Case Study