---
title: "Conference on Machine Translation (WMT) — works"
description: "100 works of Conference on Machine Translation (WMT) in our library, the most cited first."
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---
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# Works of Conference on Machine Translation (WMT)

100 works · the most cited first · [← Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)

1. [**Meteor Universal: Language Specific Translation Evaluation for Any Target Language**Michael Denkowski, Alon Lavie*2014 · 2,392 citations*](https://md.research.elamur.ai/free/en/papers/denkowski-2014-meteor-universal-language-specific-translation/)
2. [**chrF: character n-gram F-score for automatic MT evaluation**Maja Popović*2015 · 2,105 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/)
3. [**KenLM: Faster and Smaller Language Model Queries**Kenneth Heafield*2011 · 1,759 citations*](https://md.research.elamur.ai/free/en/papers/heafield-2011-kenlm-faster-smaller-language-model/)
4. [**Findings of the 2014 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Christian Federmann, et al.*2014 · 923 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2014-findings-2014-workshop-statistical-machine/)
5. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/)
6. [**chrF++: words helping character n-grams**Maja Popović*2017 · 749 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2017-chrf-words-helping-character-n/)
7. [**Findings of the 2017 Conference on Machine Translation (WMT17)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 685 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/)
8. [**Facebook FAIR's WMT19 News Translation Task Submission**Nathan Ng, Kyra Yee, Alexei Baevski, et al.*2019 · 543 citations*](https://md.research.elamur.ai/free/en/papers/ng-2019-facebook-fair-s-wmt19-news/)
9. [**Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems**Michael Denkowski, Alon Lavie*2011 · 541 citations*](https://md.research.elamur.ai/free/en/papers/denkowski-2011-meteor-1-3-automatic-metric/)
10. [**Experiments in Domain Adaptation for Statistical Machine Translation**Philipp Koehn, Josh Schroeder*2007 · 481 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2007-experiments-domain-adaptation-statistical-machine/)
11. [**Syntax Augmented Machine Translation via Chart Parsing**Andreas Zollmann, Ashish Venugopal*2006 · 474 citations*](https://md.research.elamur.ai/free/en/papers/zollmann-2006-syntax-augmented-machine-translation-chart/)
12. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
13. [**Findings of the 2013 Workshop on Statistical Machine Translation**Ondřej Bojar, Christian Buck, Chris Callison-Burch, et al.*2013 · 441 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2013-findings-2013-workshop-statistical-machine/)
14. [**COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task**Ricardo Rei, José G. C. de Souza, Duarte Alves, et al.*2022 · 433 citations*](https://md.research.elamur.ai/free/en/papers/rei-2022-comet-22-unbabel-ist-2022/)
15. [**Manual and Automatic Evaluation of Machine Translation between European Languages**Philipp Koehn, Christof Monz*2006 · 433 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2006-manual-automatic-evaluation-machine-translation/)
16. [**Optimizing Chinese Word Segmentation for Machine Translation Performance**Pi-Chuan Chang, Michel Galley, Christopher D. Manning*2008 · 420 citations*](https://md.research.elamur.ai/free/en/papers/chang-2008-optimizing-chinese-word-segmentation-machine/)
17. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
18. [**Mixture-Model Adaptation for SMT**George Foster, Roland Kuhn*2007 · 397 citations*](https://md.research.elamur.ai/free/en/papers/foster-2007-mixture-model-adaptation-smt/)
19. [**METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments**Alon Lavie, Abhaya Agarwal*2007 · 387 citations*](https://md.research.elamur.ai/free/en/papers/lavie-2007-meteor-automatic-metric-mt-evaluation/)
20. [**CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task**Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, et al.*2022 · 325 citations*](https://md.research.elamur.ai/free/en/papers/rei-2022-cometkiwi-ist-unbabel-2022-submission/)
21. [**Tagged Back-Translation**Isaac Caswell, Ciprian Chelba, David Grangier*2019 · 323 citations*](https://md.research.elamur.ai/free/en/papers/caswell-2019-tagged-back-translation/)
22. [**Copied Monolingual Data Improves Low-Resource Neural Machine Translation**Anna Currey, Antonio Valerio Miceli Barone, Kenneth Heafield*2017 · 296 citations*](https://md.research.elamur.ai/free/en/papers/currey-2017-copied-monolingual-data-improves-low/)
23. [**Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges**Qingsong Ma, Johnny Wei, Ondřej Bojar, et al.*2019 · 283 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-results-wmt19-metrics-shared-task/)
24. [**A Systematic Comparison of Smoothing Techniques for Sentence-Level BLEU**Boxing Chen, Colin Cherry*2014 · 281 citations*](https://md.research.elamur.ai/free/en/papers/chen-2014-systematic-comparison-smoothing-techniques-sentence/)
25. [**Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2022 · 263 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2022-results-wmt22-metrics-shared-task/)
26. [**Domain Adaptation for Statistical Machine Translation with Monolingual Resources**Nicola Bertoldi, Marcello Federico*2009 · 241 citations*](https://md.research.elamur.ai/free/en/papers/bertoldi-2009-domain-adaptation-statistical-machine-translation/)
27. [**The University of Edinburgh's Neural MT Systems for WMT17**Rico Sennrich, Alexandra Birch, Anna Currey, et al.*2017 · 227 citations*](https://md.research.elamur.ai/free/en/papers/sennrich-2017-university-edinburgh-s-neural-mt/)
28. [**Microsoft Translator at WMT 2019: Towards Large-Scale Document-Level Neural Machine Translation**Marcin Junczys-Dowmunt*2019 · 222 citations*](https://md.research.elamur.ai/free/en/papers/dowmunt-2019-microsoft-translator-wmt-2019-large/)
29. [**YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available Resources**Chi-kiu Lo*2019 · 216 citations*](https://md.research.elamur.ai/free/en/papers/lo-2019-yisi-unified-semantic-mt-quality/)
30. [**Results of the WMT17 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran*2017 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-results-wmt17-metrics-shared-task/)
31. [**(Meta-) Evaluation of Machine Translation**Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, et al.*2007 · 206 citations*](https://md.research.elamur.ai/free/en/papers/burch-2007-meta-evaluation-machine-translation/)
32. [**Predictor-Estimator using Multilevel Task Learning with Stack Propagation for Neural Quality Estimation**Hyun Kim, Jong-Hyeok Lee, Seung-Hoon Na*2017 · 205 citations*](https://md.research.elamur.ai/free/en/papers/kim-2017-predictor-estimator-multilevel-task-learning/)
33. [**Findings of the 2012 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2012 · 203 citations*](https://md.research.elamur.ai/free/en/papers/burch-2012-findings-2012-workshop-statistical-machine/)
34. [**Results of the WMT20 Metrics Shared Task**Nitika Mathur, Johnny Wei, Markus Freitag, et al.*2020 · 195 citations*](https://md.research.elamur.ai/free/en/papers/mathur-2020-results-wmt20-metrics-shared-task/)
35. [**GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4**Tom Kocmi, Christian Federmann*2023 · 191 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2023-gemba-mqm-detecting-translation-quality/)
36. [**Findings of the 2021 Conference on Machine Translation (WMT21)**Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, et al.*2021 · 189 citations*](https://md.research.elamur.ai/free/en/papers/akhbardeh-2021-findings-2021-conference-machine-translation/)
37. [**Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings**Annette Rios Gonzales, Laura Mascarell, Rico Sennrich*2017 · 185 citations*](https://md.research.elamur.ai/free/en/papers/gonzales-2017-improving-word-sense-disambiguation-neural/)
38. [**The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT**Jörg Tiedemann*2020 · 183 citations*](https://md.research.elamur.ai/free/en/papers/tiedemann-2020-tatoeba-translation-challenge-realistic-data/)
39. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
40. [**Multi-Domain Neural Machine Translation through Unsupervised Adaptation**M. Amin Farajian, Marco Turchi, Matteo Negri, et al.*2017 · 176 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2017-multi-domain-neural-machine-translation/)
41. [**Results of the WMT14 Metrics Shared Task**Matouš Macháček, Ondřej Bojar*2014 · 174 citations*](https://md.research.elamur.ai/free/en/papers/machacek-2014-results-wmt14-metrics-shared-task/)
42. [**Findings of the WMT 2019 Shared Tasks on Quality Estimation**Erick Fonseca, Lisa Yankovskaya, André F. T. Martins, et al.*2019 · 173 citations*](https://md.research.elamur.ai/free/en/papers/fonseca-2019-findings-wmt-2019-shared-tasks/)
43. [**Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain**Markus Freitag, Ricardo Rei, Nitika Mathur, et al.*2021 · 169 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2021-results-wmt21-metrics-shared-task/)
44. [**Aiding Pronoun Translation with Co-Reference Resolution**Ronan Le Nagard, Philipp Koehn*2010 · 165 citations*](https://md.research.elamur.ai/free/en/papers/nagard-2010-aiding-pronoun-translation-co-reference/)
45. [**Joshua: An Open Source Toolkit for Parsing-Based Machine Translation**Zhifei Li, Chris Callison-Burch, Chris Dyer, et al.*2009 · 163 citations*](https://md.research.elamur.ai/free/en/papers/li-2009-joshua-open-source-toolkit-parsing/)
46. [**Findings of the WMT 2020 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2020 · 160 citations*](https://md.research.elamur.ai/free/en/papers/specia-2020-findings-wmt-2020-shared-task-2020-wmt-1-79/)
47. [**The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation**Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/)
48. [**Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors Persist**Marzena Karpinska, Mohit Iyyer*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/karpinska-2023-large-language-models-effectively-leverage/)
49. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
50. [**Effective Domain Mixing for Neural Machine Translation**Denny Britz, Quoc Le, Reid Pryzant*2017 · 155 citations*](https://md.research.elamur.ai/free/en/papers/britz-2017-effective-domain-mixing-neural-machine/)
51. [**ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages**Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.*2023 · 151 citations*](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/)
52. [**The Effect of Translationese in Machine Translation Test Sets**Mike Zhang, Antonio Toral*2019 · 149 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-effect-translationese-machine-translation-test/)
53. [**Findings of the 2009 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2009 · 136 citations*](https://md.research.elamur.ai/free/en/papers/burch-2009-findings-2009-workshop-statistical-machine/)
54. [**Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task**Ricardo Rei, Nuno M. Guerreiro, José Pombal, et al.*2023 · 135 citations*](https://md.research.elamur.ai/free/en/papers/rei-2023-scaling-up-cometkiwi-unbabel-ist/)
55. [**Findings of the 2011 Workshop on Statistical Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2011 · 135 citations*](https://md.research.elamur.ai/free/en/papers/burch-2011-findings-2011-workshop-statistical-machine/)
56. [**Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description**Desmond Elliott, Stella Frank, Loïc Barrault, et al.*2017 · 133 citations*](https://md.research.elamur.ai/free/en/papers/elliott-2017-findings-second-shared-task-multimodal/)
57. [**Quasi-Synchronous Grammars: Alignment by Soft Projection of Syntactic Dependencies**David Smith, Jason Eisner*2006 · 132 citations*](https://md.research.elamur.ai/free/en/papers/smith-2006-quasi-synchronous-grammars-alignment-soft/)
58. [**Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low-Resource Conditions**Philipp Koehn, Francisco Guzmán, Vishrav Chaudhary, et al.*2019 · 131 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2019-findings-wmt-2019-shared-task/)
59. [**Findings of the WMT 2023 Shared Task on Quality Estimation**Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al.*2023 · 129 citations*](https://md.research.elamur.ai/free/en/papers/blain-2023-findings-wmt-2023-shared-task/)
60. [**MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task**Juraj Juraska, Daniel Deutsch, Mara Finkelstein, et al.*2024 · 118 citations*](https://md.research.elamur.ai/free/en/papers/juraska-2024-metricx-24-google-submission-wmt/)
61. [**MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task**Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.*2023 · 118 citations*](https://md.research.elamur.ai/free/en/papers/juraska-2023-metricx-23-google-submission-wmt/)
62. [**Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation**Chris Callison-Burch, Philipp Koehn, Christof Monz, et al.*2010 · 117 citations*](https://md.research.elamur.ai/free/en/papers/burch-2010-findings-2010-joint-workshop-statistical/)
63. [**Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric**Matthew Snover, Nitin Madnani, Bonnie Dorr, et al.*2009 · 115 citations*](https://md.research.elamur.ai/free/en/papers/snover-2009-fluency-adequacy-or-hter-exploring/)
64. [**Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings**Vishrav Chaudhary, Yuqing Tang, Francisco Guzmán, et al.*2019 · 110 citations*](https://md.research.elamur.ai/free/en/papers/chaudhary-2019-low-resource-corpus-filtering-multilingual/)
65. [**APE at Scale and Its Implications on MT Evaluation Biases**Markus Freitag, Isaac Caswell, Scott Roy*2019 · 107 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2019-ape-scale-its-implications-mt/)
66. [**Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task**Markus Freitag, Nitika Mathur, Daniel Deutsch, et al.*2024 · 106 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2024-are-llms-breaking-mt-metrics/)
67. [**Findings of the WMT 2019 Shared Task on Automatic Post-Editing**Rajen Chatterjee, Christian Federmann, Matteo Negri, et al.*2019 · 102 citations*](https://md.research.elamur.ai/free/en/papers/chatterjee-2019-findings-wmt-2019-shared-task/)
68. [**Findings of the WMT 2020 Shared Task on Parallel Corpus Filtering and Alignment**Philipp Koehn, Vishrav Chaudhary, Ahmed El-Kishky, et al.*2020 · 100 citations*](https://md.research.elamur.ai/free/en/papers/koehn-2020-findings-wmt-2020-shared-task/)
69. [**Unbabel's Participation in the WMT20 Metrics Shared Task**Ricardo Rei, Craig Stewart, Ana C Farinha, et al.*2020 · 98 citations*](https://md.research.elamur.ai/free/en/papers/rei-2020-unbabel-s-participation-wmt20-metrics/)
70. [**The NiuTrans Machine Translation Systems for WMT19**Bei Li, Yinqiao Li, Chen Xu, et al.*2019 · 92 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-niutrans-machine-translation-systems-wmt19/)
71. [**Findings of the WMT 2022 Shared Task on Quality Estimation**Chrysoula Zerva, Frédéric Blain, Ricardo Rei, et al.*2022 · 91 citations*](https://md.research.elamur.ai/free/en/papers/zerva-2022-findings-wmt-2022-shared-task/)
72. [**Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task**Ricardo Rei, Ana C Farinha, Chrysoula Zerva, et al.*2021 · 85 citations*](https://md.research.elamur.ai/free/en/papers/rei-2021-are-references-really-needed-unbabel/)
73. [**Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation**Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, et al.*2024 · 83 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-error-span-annotation-balanced-approach/)
74. [**MEANT 2.0: Accurate semantic MT evaluation for any output language**Chi-kiu Lo*2017 · 81 citations*](https://md.research.elamur.ai/free/en/papers/lo-2017-meant-2-0-accurate-semantic/)
75. [**Findings of the WMT 2021 Shared Task on Quality Estimation**Lucia Specia, Frédéric Blain, Marina Fomicheva, et al.*2021 · 80 citations*](https://md.research.elamur.ai/free/en/papers/specia-2021-findings-wmt-2021-shared-task/)
76. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
77. [**Findings of the WMT 2017 Biomedical Translation Shared Task**Antonio Jimeno Yepes, Aurélie Névéol, Mariana Neves, et al.*2017 · 69 citations*](https://md.research.elamur.ai/free/en/papers/yepes-2017-findings-wmt-2017-biomedical-translation/)
78. [**Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric**Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.*2022 · 68 citations*](https://md.research.elamur.ai/free/en/papers/vernikos-2022-embarrassingly-easy-document-level-mt/)
79. [**A Fine-Grained Analysis of BERTScore**Michael Hanna, Ondřej Bojar*2021 · 62 citations*](https://md.research.elamur.ai/free/en/papers/hanna-2021-fine-grained-analysis-bertscore/)
80. [**Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task**Thibault Sellam, Amy Pu, Hyung Won Chung, et al.*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/sellam-2020-learning-evaluate-translation-beyond-english/)
81. [**Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity**Brian Thompson, Matt Post*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-paraphrase-generation-as-zero-shot/)
82. [**Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies**Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, et al.*2019 · 54 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2019-findings-wmt-2019-biomedical-translation/)
83. [**Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output**Maja Popović, Adrià de Gispert, Deepa Gupta, et al.*2006 · 49 citations*](https://md.research.elamur.ai/free/en/papers/popovic-2006-morpho-syntactic-information-automatic-error/)
84. [**Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts**Eleftheria Briakou, Jiaming Luo, Colin Cherry, et al.*2024 · 46 citations*](https://md.research.elamur.ai/free/en/papers/briakou-2024-translating-step-step-decomposing-translation/)
85. [**Facebook AI's WMT21 News Translation Task Submission**Chau Tran, Shruti Bhosale, James Cross, et al.*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/)
86. [**Findings of the WMT 2023 Shared Task on Low-Resource Indic Language Translation**Santanu Pal, Partha Pakray, Sahinur Rahman Laskar, et al.*2023 · 41 citations*](https://md.research.elamur.ai/free/en/papers/pal-2023-findings-wmt-2023-shared-task/)
87. [**Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)**Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, et al.*2023 · 39 citations*](https://md.research.elamur.ai/free/en/papers/muller-2023-findings-second-wmt-shared-task/)
88. [**Towards Effective Disambiguation for Machine Translation with Large Language Models**Vivek Iyer, Pinzhen Chen, Alexandra Birch*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/iyer-2023-effective-disambiguation-machine-translation-large/)
89. [**Linguistic Evaluation of German-English Machine Translation Using a Test Suite**Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, et al.*2019 · 38 citations*](https://md.research.elamur.ai/free/en/papers/avramidis-2019-linguistic-evaluation-german-english-machine/)
90. [**Phrase-Based and Deep Syntactic English-to-Czech Statistical Machine Translation**Ondřej Bojar, Jan Hajič*2008 · 37 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2008-phrase-based-deep-syntactic-english/)
91. [**MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem**Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2022-matese-machine-translation-evaluation-as/)
92. [**ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics**Chantal Amrhein, Nikita Moghe, Liane Guillou*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/)
93. [**Findings of the WMT 2020 Shared Task on Chat Translation**M. Amin Farajian, António V. Lopes, André F. T. Martins, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2020-findings-wmt-2020-shared-task/)
94. [**Formemes in English-Czech Deep Syntactic MT**Ondřej Dušek, Zdeněk Žabokrtský, Martin Popel, et al.*2012 · 28 citations*](https://md.research.elamur.ai/free/en/papers/dusek-2012-formemes-english-czech-deep-syntactic/)
95. [**Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation**Partha Pakray, Santanu Pal, Advaitha Vetagiri, et al.*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/pakray-2024-findings-wmt-2024-shared-task/)
96. [**Anaphora Models and Reordering for Phrase-Based SMT**Christian Hardmeier, Sara Stymne, Jörg Tiedemann, et al.*2014 · 13 citations*](https://md.research.elamur.ai/free/en/papers/hardmeier-2014-anaphora-models-reordering-phrase-based/)
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