🖨️ Works of European Association for Machine Translation

68 works · the most cited first · ← European Association for Machine Translation

1. WIT3: Web Inventory of Transcribed and Translated TalksMauro Cettolo, Christian Girardi, Marcello Federico2012 · 706 citations
2. Estimating the Sentence-Level Quality of Machine Translation SystemsLucia Specia, Marco Turchi, Nicola Cancedda, et al.2009 · 351 citations
3. Adaptation of the translation model for statistical machine translation based on information retrievalAlmut Silja Hildebrand, Matthias Eck, Stephan Vogel, et al.2005 · 230 citations
4. Lost in Translation: Loss and Decay of Linguistic Richness in Machine TranslationEva Vanmassenhove, Dimitar Shterionov, Andy Way2019 · 137 citations
5. ParaCrawl: Web-scale parallel corpora for the languages of the EUMiquel Esplà, Mikel Forcada, Gema Ramírez-Sánchez, et al.2019 · 130 citations
6. Document-level Neural MT: A Systematic ComparisonAntónio Lopes, M. Amin Farajian, Rachel Bawden, et al.2020 · 114 citations
7. Iterative Translation Refinement with Large Language ModelsPinzhen Chen, Zhicheng Guo, Barry Haddow, et al.2024 · 73 citations
8. Bifixer and Bicleaner: two open-source tools to clean your parallel dataGema Ramírez-Sánchez, Jaume Zaragoza-Bernabeu, Marta Bañón, et al.2020 · 55 citations
9. From Human to Automatic Error Classification for Machine Translation OutputMaja Popović, Aljoscha Burchardt2011 · 47 citations
10. Flexible finite-state lexical selection for rule-based machine translationFrancis M. Tyers, Felipe Sánchez-Martínez, Mikel L. Forcada2012 · 31 citations
11. Leveraging Rule-Based Machine Translation Knowledge for Under-Resourced Neural Machine Translation ModelsDaniel Torregrosa, Nivranshu Pasricha, Maraim Masoud, et al.2019 · 20 citations
12. Hebrew Morphological Preprocessing for Statistical Machine TranslationNimesh Singh, Nizar Habash2012 · 15 citations
13. Universal dependencies for Scottish Gaelic: syntaxColin Batchelor2019 · 10 citations
14. Gender Bias Evaluation in Machine Translation for Amharic, Tigrigna, and Afaan OromooWalelign Sewunetie, Atnafu Tonja, Tadesse Belay, et al.2024 · 5 citations
15. The User-Aware Arabic Gender RewriterBashar Alhafni, Ossama Obeid, Nizar Habash2023 · 5 citations
16. Grammatical Framework (GF) for MT in Sublanguage DomainsJanna Khegai2006 · 4 citations
17. A Longitudinal Study of the Adoption of Specialized MT Systems in Canadian Parliamentary TranslationMichel Simard, Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, et al.2026 · 2 citations
18. Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?Perla Al Almaoui, Pierrette Bouillon, Simon Hengchen2025 · 2 citations
19. Multilingual Communication in the Asylum Context: Evaluating LLM-Based Machine Translation with Fuzzy Match Augmentation and Adaptive NMT across Resource Conditions under Low-Data ConstraintsThomas Moerman, Arda Tezcan, Lieve Macken2026 · 1 citation
20. ‘It's like talking about how I use a pencil': Journalists' use of machine translation in their workMary Nurminen, Nina Havumetsä2026 · 1 citation
21. “All those in favour will please say yea”: Understanding the Factors Behind Machine Translation Adoption at the Canadian ParliamentJeniffer Leal-Wyss, Delaney Lothian, Gabriel Bernier-Colborne, et al.2026 · 1 citation
22. Holistic Regression Testing for High-Quality MT: Some Methodological and Technological ReflectionsStephan Oepen, Helge Dyvik, Dan Flickinger, et al.2005 · 1 citation
23. COPECO-Speech: Multimodal Post-Editing with Speech and LLMs for Translation TeachingJeevanthi Liyanapathirana, Pierrette Bouillon, Jonathan Mutal, et al.2026
24. One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMsValerio Lorini, Paula Vlaic, Ulascan Akbulut, et al.2026
25. Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data LanguagesBethelhem Mamo, Hellina Nigatu2026
26. Can Emotions Signal Gender? Investigating Implicit Cues in Human and LLM Translations of Amazon ReviewsShushen Manakhimova, Ekaterina Lapshinova-Koltunski2026
27. Rethinking Gender Annotation for Bias Evaluation in Machine Translation: Can LLMs Improve Reliability?Chiara Manna, Argentina Anna Rescigno, Eva Vanmassenhove2026
28. The past and future of FairslatorMichal Měchura2026
29. Teaching linguistic prompt control for LLM based translation: A classroom approach to developing critical and responsible AI literacyKatrin Menzel2026
30. Making Jobs Accessible through AI-supported Easy Language TranslationFabian Merkel, Marco Baumgartner, Athanasios Breskas, et al.2026
31. Meaning-Making Process and Error Dynamics in ChatGPT-Mediated TranslationIulia Mihalache, María-José Varela Salinas2026
32. On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?Joachim Minder, Guillaume Wisniewski, Natalie Kübler2026
33. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyPaolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
34. Reasoning About Gender: How Source Text Strategies Impact Italian–to-German Machine Translation Beyond the BinaryPaolo Di Natale, Laura Schlutter, Elena Chiocchetti, et al.2026
35. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentLydia Nishimwe, Benoît Sagot, Rachel Bawden2026
36. AI Post-Editing in Production: A 71,262-Segment Evaluation Across Five Domains, Ten Languages and Five SystemsMara Nunziatini, Mercedes Speroni2026
37. TaMTAS: Terminology-Aware Machine Translation for Accessible Science. Large Corpus compilation, terminology extraction and data augmentationAntoni Oliver, Sergi Alvarez-Vidal2026
38. Teaching Machine Translation Technologies with MTUUOCAntoni Oliver, Sergi Alvarez-Vidal2026
39. TELÓ: AI-Driven Automatic Subtitling for the Promotion of the Performing ArtsAntoni Oliver, Sílvia Rodríguez Vázquez, Manel Jiménez2026
40. A Multilingual Red Teaming–Driven Safety Analysis of LLMsPatrícia Pandeiro, Vera Cabarrão, Helena Moniz2026
41. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026
42. Extending Creativity: Large Language Models and the Practice of Poetry TranslationNatalia Resende, James Hadley2026
43. AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality ControlEmanuele Di Rosa, Piotr Peszynski2026
44. Adaptive CAT-embedded MT for low-memory, low-compute end-user devicesMarek Sabo2026
45. From Insights to Impact: Actionable Interpretability for Neural Machine TranslationGabriele Sarti2026
46. Audio description between MT translation and recreation: An Interview Study for the Language Pair English-GermanMerle Sauter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki2026
47. Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with MachinesLara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki2026
48. BlAInded by Fluency: How Idiomatic Machine Translation Outputs Affect Student Post-Editors' Edit TypesValentin Scourneau, Loïc De Faria Pires2026
49. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationZhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
50. Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across DomainsDimitar Shterionov, Noa van Helleman, Eva Vanmassenhove2026
51. Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language PairKshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.2026
52. Analyzing and Improving Cross-lingual Knowledge Transfer for Machine TranslationDavid Stap2026
53. Smarter edits? Post-editing with error highlights and translation suggestionsFleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić, et al.2026
54. To Write or to Automate Linguistic Prompts, That Is the QuestionMarina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk2026
55. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformPanagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
56. Mimicking Neural Machine Translation History for Pedagogic ReasonsVincent Vandeghinste2026
57. Scalable Video-Based Search in the VGT DictionaryToon Vandendriessche, Caro Brosens, Hannes De Durpel, et al.2026
58. HERMeS: Human Evaluation & Ranking of MultiplE SystemsRex Vanhorn2026
59. Lexical and Syntactic Diversity: Still Lost in Machine Translation?Lise Volkart, Pierrette Bouillon2026
60. MaTIAS – Machine Translation to Inform Asylum Seekers: final resultsJuly De Wilde, Anaïs Wouters, Arda Tezcan, et al.2026
61. A Chinese Challenge Set to Assess Gender Bias in Automated TranslationXiaolan Xu, Sara Mendes, Yu-Yin Hsu2026
62. LoRA Fine-Tuning of English–Norwegian NMT for the Oil & Gas IndustryXiaojing Yang, Zhihan Li, Gege Sun, et al.2026
63. LLM-as-a-Jury for Machine Translation Publishability AssessmentAlex Yanishevsky, Olivia Norris2026
64. Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine TranslationMaria Zafar, Souhail Bakkali, Rejwanul Haque2026
65. Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE ModelDimitrios Zaikis, Andrea Biondo, Matthew Dixon, et al.2026
66. LocRegen: Cost-Efficient Redundancy Removal in Multilingual E-commerce Titles with Small Language ModelsBryan Zhang, Stephan Walter, Luca Lomanto, et al.2026
67. Identifying Complex Phenomena in a Corpus via a Treebank LensDan Flickinger2006
68. A trainable transfer-based MT approach for languages with limited resourcesAlon Lavie, Katharina Probst, Erik Peterson, et al.2004

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