---
title: "Who cites Leveraging Rule-Based Machine Translation…"
description: "The papers of the Elamur Research library that cite «Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation…"
canonical: "https://research.elamur.ai/free/en/papers/torregrosa-2019-leveraging-rule-based-machine-translation/cited-by/"
---
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# Who cites «Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation Models»

7 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/torregrosa-2019-leveraging-rule-based-machine-translation/)

1. [Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine Translation](https://arxiv.org/abs/2607.26286) *— 2026 · arXiv:2607.26286*
2. [PahGen: Generating Ancient Pahlavi Text via Grammar-guided Zero-shot Translation](https://aclanthology.org/2025.loresmt-1.16/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
3. [A New Benchmark for Kalaallisut-Danish Neural Machine Translation](https://aclanthology.org/2024.americasnlp-1.7/) *— 2024 · Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)*
4. [Sign Language Recognition and Translation: A Multi-Modal Approach Using Computer Vision and Natural Language Processing](https://aclanthology.org/2023.ranlp-1.71/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
5. [Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021](https://aclanthology.org/2021.mtsummit-loresmt.14/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
6. [A multi-source approach for Breton–French hybrid machine translation](https://aclanthology.org/2020.eamt-1.8/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
7. [Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios](https://arxiv.org/abs/2009.13398) *— 2020 · arXiv:2009.13398*