---
title: "Who cites Machine Translation between Hebrew and Arabic…"
description: "The papers of the Elamur Research library that cite «Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions», found in…"
canonical: "https://research.elamur.ai/free/en/papers/lingbulk-2010-shilon-machine-translation-between-hebrew-arabic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Machine Translation between Hebrew and Arabic…](https://md.research.elamur.ai/free/en/papers/lingbulk-2010-shilon-machine-translation-between-hebrew-arabic/) / cited by

# Who cites «Machine Translation between Hebrew and Arabic: Needs, Challenges and Preliminary Solutions»

5 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/lingbulk-2010-shilon-machine-translation-between-hebrew-arabic/)

1. [When Similar Means Different: Evaluating LLMs on Arabic--Hebrew Cognates](https://md.research.elamur.ai/free/en/papers/langstream-2026-liang-similar-means-different-evaluating-llms/) *— our card · 2026 · arXiv:2606.13218*
2. [Morphological constraints for phrase pivot statistical machine translation](https://aclanthology.org/2015.mtsummit-papers.9/) *— 2015 · Proceedings of Machine Translation Summit XV: Papers*
3. [Alignment symmetrisation optimization targeting phrase pivot statistical machine translation](https://aclanthology.org/2014.eamt-1.16/) *— 2014 · Proceedings of the 17th Annual Conference of the European Association for Machine Translation*
4. [Selective Combination of Pivot and Direct Statistical Machine Translation Models](https://aclanthology.org/I13-1167/) *— 2013 · Proceedings of the Sixth International Joint Conference on Natural Language Processing*
5. [Incorporating Linguistic Knowledge in Statistical Machine Translation: Translating Prepositions](https://aclanthology.org/W12-0514/) *— 2012 · Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data*
