---
title: "Who cites Challenging Language-Dependent Segmentation for…"
description: "13 papers of the Elamur Research library cite «Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and…"
canonical: "https://research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/cited-by/"
---
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# Who cites «Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging»

13 papers of our library cite it (of the 140,884 whose bibliographies we read) · 3 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/)

1. [**What do Neural Machine Translation Models Learn about Morphology?**Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.*2017 · 485 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/)
2. [**Fanar: An Arabic-Centric Multimodal Generative AI Platform**Fanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.*2025 · 127 citations*](https://md.research.elamur.ai/free/en/papers/abbas-2025-fanar-arabic-centric-multimodal-generative/)
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/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/sajjad-2017-challenging-language-dependent-segmentation-arabic/) — Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
