---
title: "Who cites First Result on Arabic Neural Machine Translation"
description: "14 papers of the Elamur Research library cite «First Result on Arabic Neural Machine Translation», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/almahairi-2016-first-result-arabic-neural-machine/cited-by/"
---
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# Who cites «First Result on Arabic Neural Machine Translation»

14 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 «First Result on Arabic Neural Machine Translation»](https://md.research.elamur.ai/free/en/papers/almahairi-2016-first-result-arabic-neural-machine/)

1. **[TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://md.research.elamur.ai/free/en/papers/kadaoui-2023-tarjamat-evaluation-bard-chatgpt-machine/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.*2023 · 60 citations*
2. [**Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging**Hassan Sajjad, Fahim Dalvi, Nadir Durrani, et al.*2017 · 26 citations*](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/)
3. [**Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings**Pamela Shapiro, Kevin Duh*2018 · 25 citations*](https://md.research.elamur.ai/free/en/papers/shapiro-2018-morphological-word-embeddings-arabic-neural/)
4. **[TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation](https://md.research.elamur.ai/free/en/papers/nagoudi-2022-turjuman-public-toolkit-neural-arabic/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed*2022 · 21 citations*
5. **[Complementary Strategies for Low Resourced Morphological Modeling](https://md.research.elamur.ai/free/en/papers/erdmann-2018-complementary-strategies-low-resourced-morphological/) [Workshop on Computational Research in Phonetics, Phonology, and Morphology](https://md.research.elamur.ai/free/en/venues/workshop-on-computational-research-in-phonetics-phonology-and-morphology/)**Alexander Erdmann, Nizar Habash*2018 · 18 citations*
6. **[Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic](https://md.research.elamur.ai/free/en/papers/erdmann-2017-low-resourced-machine-translation-morpho/) [Machine Translation Summit (MT Summit)](https://md.research.elamur.ai/free/en/venues/mtsummit/)**Alexander Erdmann, Nizar Habash, Dima Taji, et al.*2017 · 14 citations*
7. [**Amharic-Arabic Neural Machine Translation arXiv:1912.13161**Ibrahim Gashaw, H L Shashirekha*2019 · 12 citations*](https://md.research.elamur.ai/free/en/papers/gashaw-2019-amharic-arabic-neural-machine-translation/)
8. **[Current state of LLMs for Arabic dialectal machine translation](https://md.research.elamur.ai/free/en/papers/jon-2026-current-state-llms-arabic-dialectal/) [Workshop on NLP for Languages Using Arabic Script](https://md.research.elamur.ai/free/en/venues/abjadnlp/)**Josef Jon, Rawan Bondok, Ondřej Bojar*2026 · 2 citations*

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

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