---
title: "Who cites A Character Level Convolutional — 3 citing papers"
description: "3 papers of the Elamur Research library cite «A Character Level Convolutional BiLSTM for Arabic Dialect Identification», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/elaraby-2019-character-level-convolutional-bilstm-arabic/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/elaraby-2019-character-level-convolutional-bilstm-arabic/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Character Level Convolutional BiLSTM for Arabic…](https://md.research.elamur.ai/free/en/papers/elaraby-2019-character-level-convolutional-bilstm-arabic/) / cited by

# Who cites «A Character Level Convolutional BiLSTM for Arabic Dialect Identification»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «A Character Level Convolutional BiLSTM for Arabic Dialect Identification»](https://md.research.elamur.ai/free/en/papers/elaraby-2019-character-level-convolutional-bilstm-arabic/)

1. **[The MADAR Shared Task on Arabic Fine-Grained Dialect Identification](https://md.research.elamur.ai/free/en/papers/bouamor-2019-madar-shared-task-arabic-fine/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Houda Bouamor, Sabit Hassan, Nizar Habash*2019 · 220 citations*
2. [**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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/elaraby-2019-character-level-convolutional-bilstm-arabic/) — A Character Level Convolutional BiLSTM for Arabic Dialect Identification