--- title: "Who cites Character Level Convolutional — 18 citing papers" description: "18 papers of the Elamur Research library cite «Character Level Convolutional Neural Network for Arabic Dialect Identification», found in their…" canonical: "https://research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Character Level Convolutional Neural Network for…](https://md.research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/) / cited by # Who cites «Character Level Convolutional Neural Network for Arabic Dialect Identification» 18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «Character Level Convolutional Neural Network for Arabic Dialect Identification»](https://md.research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/) 1. **[Arabic natural language processing: An overview](https://md.research.elamur.ai/free/en/papers/guellil-2019-arabic-natural-language-processing-overview/) [Journal of King Saud University - Computer and Information Sciences](https://md.research.elamur.ai/free/en/venues/journal-of-king-saud-university-computer-and-information-sciences/)**Imane Guellil, Houda Saadane, Faical Azouaou, et al.*2019 · 239 citations* 2. **[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* 3. **[Multi-dialect Arabic BERT for Country-level Dialect Identification](https://md.research.elamur.ai/free/en/papers/talafha-2020-multi-dialect-arabic-bert-country/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Bashar Talafha, Mohammad Ali, Muhy Eddin Za'ter, et al.*2020 · 77 citations* 4. **[Arabic Dialect Identification with Deep Learning and Hybrid Frequency Based Features](https://md.research.elamur.ai/free/en/papers/fares-2019-arabic-dialect-identification-deep-learning/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Youssef Fares, Zeyad El-Zanaty, Kareem Abdel-Salam, et al.*2019 · 25 citations* 5. [**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/) 6. [**Modeling Global Syntactic Variation in English Using Dialect Classification**Jonathan Dunn*2019 · 23 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2019-modeling-global-syntactic-variation-english/) 7. **[A Character Level Convolutional BiLSTM for Arabic Dialect Identification](https://md.research.elamur.ai/free/en/papers/elaraby-2019-character-level-convolutional-bilstm-arabic/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Mohamed Elaraby, Ahmed Zahran*2019 · 14 citations* 8. **[NLP_DI at NADI 2024 shared task: Multi-label Arabic Dialect Classifications with an Unsupervised Cross-Encoder](https://md.research.elamur.ai/free/en/papers/kanjirangat-2024-nlp-di-nadi-2024-shared/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2024 · 4 citations* 9. [**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/) 10. **[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* 11. **[NLP DI at NADI Shared Task Subtask-1: Sub-word Level Convolutional Neural Models and Pre-trained Binary Classifiers for Dialect Identification](https://md.research.elamur.ai/free/en/papers/kanjirangat-2022-nlp-di-nadi-shared-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Vani Kanjirangat, Tanja Samardzic, Ljiljana Dolamic, et al.*2022 · 1 citation* 7 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/ali-2018-character-level-convolutional-neural-network/) — Character Level Convolutional Neural Network for Arabic Dialect Identification