--- title: "Machine translation — papers, page 12" description: "Machine translation: 945 papers of the Elamur Research library · page 12 of 38 — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/shelves/machine-translation/page/12/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/machine-translation/page/12/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Machine translation](https://md.research.elamur.ai/free/en/shelves/machine-translation/) / page 12 # 🌐 Machine translation 945 papers · page 12 of 38 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Interlingua and transfer, rule-based and statistical MT, tree-to-tree, style transfer and how translation is measured. [← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/11/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [11](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/11/) **12** [13](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/13/) … [38](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/38/) [next →](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/13/) - [Universal Conceptual Cognitive Annotation (UCCA)](https://md.research.elamur.ai/free/en/papers/abend-2013-universal-conceptual-cognitive-annotation-ucca/) — Omri Abend, Ari Rappoport · 2013 · 162 citations - [Findings of the WMT 2020 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/) — Lucia Specia, Frédéric Blain, Marina Fomicheva, et al. · 2020 · 160 citations - [Semantic Neural Machine Translation Using AMR](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/) — Linfeng Song, Daniel Gildea, Yue Zhang, et al. · 2019 · 159 citations - [Unsupervised Text Style Transfer using Language Models as Discriminators](https://md.research.elamur.ai/free/en/papers/yang-2018-unsupervised-text-style-transfer-using/) — Zichao Yang, Zhiting Hu, Chris Dyer, et al. · 2018 · 157 citations - [Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/) — Marzena Karpinska, Mohit Iyyer · 2023 · 156 citations - [The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/) — Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al. · 2023 · 156 citations - [The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification](https://md.research.elamur.ai/free/en/papers/manchego-2021-un-suitability-automatic-evaluation-metrics/) — Fernando Alva-Manchego, Carolina Scarton, Lucia Specia · 2021 · 156 citations - [DGT-TM: A freely available Translation Memory in 22 languages](https://md.research.elamur.ai/free/en/papers/steinberger-2012-dgt-tm-freely-available-translation/) — Ralf Steinberger, Andreas Eisele, Szymon Klocek, et al. · 2012 · 156 citations - [Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/) — Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al. · 2023 · 155 citations - [Effective Domain Mixing for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/) — Denny Britz, Quoc Le, Reid Pryzant · 2017 · 155 citations - [Accurate Evaluation of Segment-level Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/) — Yvette Graham, Timothy Baldwin, Nitika Mathur · 2015 · 155 citations - [Evaluating Style Transfer for Text](https://md.research.elamur.ai/free/en/papers/mir-2019-evaluating-style-transfer-text/) — Remi Mir, Bjarke Felbo, Nick Obradovich, et al. · 2019 · 154 citations - [FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/) — Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al. · 2023 · 153 citations - [Graph Pre-training for AMR Parsing and Generation](https://md.research.elamur.ai/free/en/papers/bai-2022-graph-pre-training-amr-parsing/) — Xuefeng Bai, Yulong Chen, Yue Zhang · 2022 · 153 citations - [Unsupervised Quality Estimation for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fomicheva-2020-unsupervised-quality-estimation-neural-machine/) — Marina Fomicheva, Shuo Sun, Lisa Yankovskaya, et al. · 2020 · 153 citations - [Convergence of Translation Memory and Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/koehn-2010-convergence-translation-memory-statistical-machine/) — Philipp Koehn, Jean Senellart · 2010 · 153 citations - [Generation from Abstract Meaning Representation using Tree Transducers](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/) — Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al. · 2016 · 152 citations - [Fill-up versus interpolation methods for phrase-based SMT adaptation](https://md.research.elamur.ai/free/en/papers/bisazza-2011-fill-up-versus-interpolation-methods/) — Arianna Bisazza, Nick Ruiz, Marcello Federico · 2011 · 152 citations - [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/) — Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al. · 2023 · 151 citations - [Statistical Power and Translationese in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/) — Yvette Graham, Barry Haddow, Philipp Koehn · 2020 · 150 citations - [Investigating Pretrained Language Models for Graph-to-Text Generation](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/) — Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al. · 2021 · 149 citations - [The Effect of Translationese in Machine Translation Test Sets](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/) — Mike Zhang, Antonio Toral · 2019 · 149 citations - [How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs](https://md.research.elamur.ai/free/en/papers/sennrich-2017-how-grammatical-is-character-level/) — Rico Sennrich · 2017 · 147 citations - [Evaluating Machine Translation Output with Automatic Sentence Segmentation](https://md.research.elamur.ai/free/en/papers/matusov-2005-evaluating-machine-translation-output-automatic/) — Evgeny Matusov, Gregor Leusch, Oliver Bender, et al. · 2005 · 147 citations - [SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation](https://md.research.elamur.ai/free/en/papers/ma-2020-simuleval-evaluation-toolkit-simultaneous-translation/) — Xutai Ma, Mohammad Javad Dousti, Changhan Wang, et al. · 2020 · 144 citations [← prev](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/11/) [1](https://md.research.elamur.ai/free/en/shelves/machine-translation/) … [11](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/11/) **12** [13](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/13/) … [38](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/38/) [next →](https://md.research.elamur.ai/free/en/shelves/machine-translation/page/13/)