🔗 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»

1. Plug and Play Language Models: A Simple Approach to Controlled Text GenerationarXiv:1912.02164Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.2019 · 567 citations
2. Noisy Channel Language Model Prompting for Few-Shot Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Sewon Min, Mike Lewis, Hannaneh Hajishirzi, et al.2021 · 238 citations
3. Quality-Aware Decoding for Neural Machine TranslationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Patrick Fernandes, António Farinhas, Ricardo Rei, et al.2022 · 143 citations
4. Domain Robustness in Neural Machine TranslationConference of the Association for Machine Translation in the Americas (AMTA)Mathias Müller, Annette Rios, Rico Sennrich2020 · 135 citations
5. Data-to-text Generation with Macro PlanningTransactions of the Association for Computational Linguistics (TACL)Ratish Puduppully, Mirella Lapata2021 · 98 citations
6. Facebook AI's WMT21 News Translation Task SubmissionConference on Machine Translation (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 MalteseWorkshop on Technologies for Machine Translation of Low-Resource Languages (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.

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