---
title: "Who cites Neural Machine Translation of Rare Words with…"
description: "3,409 papers of the Elamur Research library cite «Neural Machine Translation of Rare Words with Subword Units», found in their bibliographies · page 4 of…"
canonical: "https://research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/4/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Neural Machine Translation of Rare Words with…](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/) / [cited by](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/) / page 4

# Who cites «Neural Machine Translation of Rare Words with Subword Units»

3,409 papers of our library cite it (of the 140,884 whose bibliographies we read) · 304 with a page here, the most cited first · page 4 of 4 · 301–304 · [← the paper](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/)

[← prev](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/3/) **4**

301. [**Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/)
302. [**The Impact of Tokenization Algorithms on Hungarian Language Model Performance**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/)
303. [**Toxic Subword Pruning for Dialogue Response Generation on Large Language Models**Hongyuan Adam Lu, Wai Lam*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)
304. [**Word predictability estimates from language models are not robust to tokenizer vocabulary**Kien Nguyen, Suhas Arehalli*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/)

[← prev](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/papers/sennrich-2016-neural-machine-translation-rare-words/cited-by/page/3/) **4**

3,105 more papers of our library cite it; they have no page here yet.

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