---
title: "Who cites Simple and Effective Noisy — 55 citing papers"
description: "55 papers of the Elamur Research library cite «Simple and Effective Noisy Channel Modeling for Neural Machine Translation», found in their…"
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# Who cites «Simple and Effective Noisy Channel Modeling for Neural Machine Translation»

55 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Simple and Effective Noisy Channel Modeling for Neural Machine Translation»](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/)

1. [**Plug and Play Language Models: A Simple Approach to Controlled Text Generation arXiv:1912.02164**Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.*2019 · 567 citations*](https://md.research.elamur.ai/free/en/papers/dathathri-2019-plug-play-language-models-simple/)
2. **[Noisy Channel Language Model Prompting for Few-Shot Text Classification](https://md.research.elamur.ai/free/en/papers/min-2021-noisy-channel-language-model-prompting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.*2021 · 238 citations*
3. **[Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations*
4. **[Domain Robustness in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/muller-2020-domain-robustness-neural-machine-translation/) [Conference of the Association for Machine Translation in the Americas (AMTA)](https://md.research.elamur.ai/free/en/venues/amta/)**Mathias Müller, Annette Rios, Rico Sennrich*2020 · 135 citations*
5. **[Data-to-text Generation with Macro Planning](https://md.research.elamur.ai/free/en/papers/puduppully-2021-data-text-generation-macro-planning/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ratish Puduppully, Mirella Lapata*2021 · 98 citations*
6. **[Facebook AI's WMT21 News Translation Task Submission](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Chau Tran, Shruti Bhosale, James Cross, et al.*2021 · 42 citations*
7. **[Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese](https://md.research.elamur.ai/free/en/papers/abela-2024-tokenisation-machine-translation-does-matter/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Kurt Abela, Kurt Micallef, Marc Tanti, et al.*2024 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/yee-2019-simple-effective-noisy-channel-modeling/) — Simple and Effective Noisy Channel Modeling for Neural Machine Translation