---
title: "Conference on Machine Translation (WMT) — conference series"
description: "Conference on Machine Translation (WMT): 100 works in the Elamur Research library (2006–2025), 25,067 citations; its topics, authors and institutions."
canonical: "https://research.elamur.ai/free/en/venues/wmt/"
---
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# Conference on Machine Translation (WMT)

Conference series Published by [Association for Computational Linguistics](https://md.research.elamur.ai/free/en/publishers/association-for-computational-linguistics/)

- [ACL Anthology](https://aclanthology.org/venues/wmt/)
- [OpenAlex](https://openalex.org/S7407087242)

[**100** works in our library](https://md.research.elamur.ai/free/en/venues/wmt/works/) · [**25,067** citations of these works](https://md.research.elamur.ai/free/en/venues/wmt/works/) · [**12,930** citations in our library](https://md.research.elamur.ai/free/en/venues/wmt/works/) · [**2006–2025** years of the works here](#years)

## Works by year

Works in our library by year 100 dated works from 2006 to 2025; the busiest year is 2019 with 16.

**The numbers**

| Year | Works |
| --- | --- |
| 2025 | 1 |
| 2024 | 6 |
| 2023 | 11 |
| 2022 | 8 |
| 2021 | 6 |
| 2020 | 10 |
| 2019 | 16 |
| 2017 | 12 |
| 2015 | 2 |
| 2014 | 5 |
| 2013 | 2 |
| 2012 | 2 |
| 2011 | 3 |
| 2010 | 2 |
| 2009 | 4 |
| 2008 | 2 |
| 2007 | 4 |
| 2006 | 4 |

## Top topics

Topics of its works in our library, with the number of works on each.

[Machine translation (91)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Evaluation & benchmarks (62)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Low-resource languages (7)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [French (7)](https://md.research.elamur.ai/free/en/topics/french/) · [Multilingual & cross-lingual NLP (6)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [English (4)](https://md.research.elamur.ai/free/en/topics/english/) · [Coreference resolution (2)](https://md.research.elamur.ai/free/en/topics/coreference-resolution/) · [Word sense disambiguation (1)](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Lexical semantics & word embeddings (1)](https://md.research.elamur.ai/free/en/topics/lexical-semantics/) · [Syntax & grammar formalisms (1)](https://md.research.elamur.ai/free/en/topics/syntax-grammar/) · [Vision & language (1)](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Fields

[Computer Science (100)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (98)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Philipp Koehn**18 works here · 6,009 citations](https://md.research.elamur.ai/free/en/authors/philipp-koehn/) · [🧑‍🔬**Ondřej Bojar**17 works here · 5,388 citations](https://md.research.elamur.ai/free/en/authors/ondrej-bojar/) · [🧑‍🔬**Markus Freitag**14 works here · 1,927 citations](https://md.research.elamur.ai/free/en/authors/markus-freitag/) · [🧑‍🔬**André F. T. Martins**12 works here · 2,059 citations](https://md.research.elamur.ai/free/en/authors/andre-f-t-martins/) · [🧑‍🔬**Christian Federmann**11 works here · 4,582 citations](https://md.research.elamur.ai/free/en/authors/christian-federmann/) · [🧑‍🔬**Christof Monz**11 works here · 4,579 citations](https://md.research.elamur.ai/free/en/authors/christof-monz/) · [🧑‍🔬**Ricardo Rei**11 works here · 1,989 citations](https://md.research.elamur.ai/free/en/authors/ricardo-rei/) · [🧑‍🔬**Alon Lavie**9 works here · 4,693 citations](https://md.research.elamur.ai/free/en/authors/alon-lavie/) · [🧑‍🔬**Barry Haddow**9 works here · 4,223 citations](https://md.research.elamur.ai/free/en/authors/barry-haddow/) · [🧑‍🔬**Eleftherios Avramidis**9 works here · 942 citations](https://md.research.elamur.ai/free/en/authors/eleftherios-avramidis/) · [🧑‍🔬**Tom Kocmi**8 works here · 1,449 citations](https://md.research.elamur.ai/free/en/authors/tom-kocmi/) · [🧑‍🔬**Lucia Specia**7 works here · 2,031 citations](https://md.research.elamur.ai/free/en/authors/lucia-specia/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of Edinburgh** Edinburgh · United Kingdom 18 works here](https://md.research.elamur.ai/free/en/universities/university-of-edinburgh/) · [🎓**Charles University** Prague · Czechia 14 works here](https://md.research.elamur.ai/free/en/universities/charles-university/) · [🏢**Microsoft** Redmond · United States 13 works here](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Johns Hopkins University** Baltimore · United States 12 works here](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🔬**Instituto de Telecomunicações** Lisbon · Portugal 12 works here](https://md.research.elamur.ai/free/en/labs/instituto-de-telecomunicacoes/) · [🏢**Google** Mountain View · United States 11 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**German Research Centre for Artificial Intelligence** Kaiserslautern · Germany 11 works here](https://md.research.elamur.ai/free/en/labs/german-research-centre-for-artificial-intelligence/) · [🎓**Instituto Superior Técnico** Lisbon · Portugal 10 works here](https://md.research.elamur.ai/free/en/universities/instituto-superior-tecnico/) · [🏛️**National Research Council Canada** Ottawa · Canada 9 works here](https://md.research.elamur.ai/free/en/government/national-research-council-canada/) · [🎓**Dublin City University** Dublin · Ireland 9 works here](https://md.research.elamur.ai/free/en/universities/dublin-city-university/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 8 works here](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 7 works here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

## Works in our library (100)

The most cited first (OpenAlex citations plus our library's).

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/)

[See all 100 works →](https://md.research.elamur.ai/free/en/venues/wmt/works/)

Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.