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Large language models (LLMs) are competitive with the state of the art on a wide range of sentence-level translation datasets.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Memes of Translation
Andrew Chesterman. 1997 · 1997
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What Distinguishes Major Types of Translation?
Juan C. Sager. 1998 · 1998
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Outside The Stranger? English Retranslations of Camus’
Jonathan Kaplansky. 2004 · 2004
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Translation techniques revisited: A dynamic and functionalist approach
Lucía Molina and Amparo Hurtado Albir. 2004 · 2004
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Machine translation by triangulation: Making effective use of multi-parallel corpora
Trevor Cohn and Mirella Lapata. 2007 · 2007
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A comparison of pivot methods for phrase-based statistical machine translation
Masao Utiyama and Hitoshi Isahara. 2007 · 2007
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Mixed-effects modeling with crossed random effects for subjects and items
R.H. Baayen, D.J. Davidson, and D.M. Bates. 2008 · 2008
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The Trouble with SMT Consistency
Marine Carpuat and Michel Simard. 2012 · 2012
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Discourse in Statistical Machine Translation
Christian Hardmeier. 2012 · 2012
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Translation as human–computer interaction
Sharon O'Brien. 2012 · 2012
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Quality in professional translation
Joanna Drugan. 2013 · 2013
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Docent: A Document-level Decoder for Phrase-Based Statistical Machine Translation
Christian Hardmeier, Sara Stymne, Jörg Tiedemann, and Joakim Nivre. 2013 · 2013
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Machine translation for litterature: a pilot study (traduction automatisée d’une oeuvre littéraire: une étude pilote) [in French]
Laurent Besacier. 2014 · 2014
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Document-level re-ranking with soft lexical and semantic features for statistical machine translation
Chenchen Ding, Masao Utiyama, and Eiichiro Sumita. 2014 · 2014
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Fitting Linear Mixed-Effects Models Using lme4
Douglas Bates, Martin Mächler, Ben Bolker, and Steve Walker. 2015 · 2015
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Machine-assisted translation of literary text
Antonio Toral and Andy Way. 2015 · 2015
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Comparative literature and translation: A cross-cultural and interdisciplinary perspective
Wang Ning and César Domínguez. 2016 · 2016
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Does neural machine translation benefit from larger context?
Sebastien Jean, Stanislas Lauly, Orhan Firat, and Kyunghyun Cho. 2017 · 2017
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lmerTest Package: Tests in Linear Mixed Effects Models
Alexandra Kuznetsova, Per B. Brockhoff, and Rune H. B. Christensen. 2017 · 2017
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Neural machine translation with extended context
Jörg Tiedemann and Yves Scherrer. 2017 · 2017
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Contextual Handling in Neural machine Translation: Look Behind, Ahead and on Both Sides
Ruchit Agrawal, Marco Turchi, and Matteo Negri. 2018 · 2018
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Document-level neural machine translation with hierarchical attention networks
Lesly Miculicich, Dhananjay Ram, Nikolaos Pappas, and James Henderson. 2018 · 2018
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Improving the transformer translation model with document-level context
Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, and Yang Liu. 2018 · 2018
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Microsoft translator at WMT 2019: Towards large-scale document-level neural machine translation
Marcin Junczys-Dowmunt. 2019 · 2019
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Hierarchical modeling of global context for document-level neural machine translation
Xin Tan, Longyin Zhang, Deyi Xiong, and Guodong Zhou. 2019 · 2019
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When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion
Elena Voita, Rico Sennrich, and Ivan Titov. 2019 · 2019
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Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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Modeling Discourse Structure for Document-level Neural Machine Translation
Junxuan Chen, Xiang Li, Jiarui Zhang, Chulun Zhou, Jianwei Cui, Bin Wang, and Jinsong Su. 2020 · 2020
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DEMETR: Diagnosing Evaluation Metrics for Translation
Marzena Karpinska, Nishant Raj, Katherine Thai, Yixiao Song, Ankita Gupta, and Mohit Iyyer. 2022 · 2022
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Introducing ChatGPT
OpenAI. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task
Ricardo Rei, José G. C. de Souza, Duarte Alves, Chrysoula Zerva, Ana C Farinha, Taisiya Glushkova, Alon Lavie, Luisa Coheur, and André F. T. Martins. 2022 · 2022
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Exploring document-level literary machine translation with parallel paragraphs from world literature
Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, and Mohit Iyyer. 2022 · 2022
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RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
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Translation quality assessment: a critical methodological review
Chao Han. 2020 · 2020
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Dynamic context selection for document-level neural machine translation via reinforcement learning
Xiaomian Kang, Yang Zhao, Jiajun Zhang, and Chengqing Zong. 2020 · 2020
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Document-level neural MT: A Systematic Comparison
António Lopes, M. Amin Farajian, Rachel Bawden, Michael Zhang, and André F. T. Martins. 2020 · 2020
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Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020 · 2020
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BLEURT: Learning Robust Metrics for Text Generation
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BERTScore: Evaluating Text Generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
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Label Studio: Data labeling software
Maxim Tkachenko, Mikhail Malyuk, Andrey Holmanyuk, and Nikolai Liubimov. 2020-2022 · 2022
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Embarrassingly Easy Document-level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric
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Prompting palm for translation: Assessing strategies and performance
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Multilingual document-level translation enables zero-shot transfer from sentences to documents
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Hallucinations in Large Multilingual Translation Models
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