📰 EAMT 2026: all accepted papers

89 papers · the most cited first · ← EAMT 2026

1. A Longitudinal Study of the Adoption of Specialized MT Systems in Canadian Parliamentary TranslationMichel Simard, Jeniffer Leal-Wyss, Gabriel Bernier-Colborne et al.our summary
2. A Multilingual Red Teaming–Driven Safety Analysis of LLMsPatrícia Pandeiro, Vera Cabarrão, Helena Monizour summary
3. AI Post-Editing in Production: A 71,262-Segment Evaluation Across Five Domains, Ten Languages and Five SystemsMara Nunziatini, Mercedes Speroniour summary
4. AI-assisted cultural heritage dissemination: Comparing NMT and glossary-augmented LLM translation in rock art documents ↗Vicent Briva-Iglesias, María Ferre Fernández
5. AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality ControlEmanuele Di Rosa, Piotr Peszynskiour summary
6. ARTICULATE: Science in your Own Language ↗Yolanda Vazquez-Alvarez, Matthew P. Aylett, Benjamin R. Cowan et al.
7. Adaptive CAT-embedded MT for low-memory, low-compute end-user devicesMarek Saboour summary
8. Advanced CAT Tool Features for Enhancing Consistency in MT and Generative AI Outputs ↗Judith Klein
9. Advancing Medical Communication: Multilingual, Multicultural, and Multimodal Processing for Translation and Simplification ↗Maria Pia Di Buono
10. Alignment Quality Degradation Across the Parallel–Comparable Spectrum: A Comparative Analysis ↗Audrey Mash, Jonathan Ayebakuro Orama, Marc Juvillà Garcia et al.
11. Analyzing and Improving Cross-lingual Knowledge Transfer for Machine TranslationDavid Stapour summary
12. Artificial intelligence language technologies in multilingual healthcare: Grand challenges ahead ↗Vicent Briva-Iglesias
13. Audio description between MT translation and recreation: An Interview Study for the Language Pair English-GermanMerle Sauter, Ekaterina Lapshinova-Koltunski, Sylvia Jakiour summary
14. Augmenting Text to Increase Translation Difficulty ↗William Kalikman, Simon Sukup, Michal Tešnar et al.
15. Automated Information Extraction and Template Filling from Client Style Guides ↗Leonor Graça, Vera Cabarrão, Helena Moniz
16. Automatic translation in public services: A survey of the Finnish public sector ↗Sıla Ilkılıç, Maarit Koponen, Mary Nurminen
17. Beyond Semantics: Measuring Fine-Grained Emotion Preservation in Small Language Model-Based Machine Translation ↗Dawid Wiśniewski, Igor Czudy
18. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyPaolo Di Natale, Elena Chiocchetti, Marlies Alber et al.our summary
19. BlAInded by Fluency: How Idiomatic Machine Translation Outputs Affect Student Post-Editors' Edit TypesValentin Scourneau, Loïc De Faria Piresour summary
20. Bridging Domains for Automatic Post-Editing: A Classifier-Guided Multi-Domain Adaptation Framework ↗Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya
21. CRITICS: Critical Science Without Borders by Translation of Scientific Knowledge ↗Rodrigo Agerri, Itziar Aldabe, Elena Cabrio et al.
22. Can professional translators identify machine-generated text? ↗Michael Farrell
23. CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs ↗Kamil Guttmann, Zofia Fraś, Artur Nowakowski et al.
24. Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations ↗Kyo Gerrits, Rik van Noord, Ana Guerberof Arenas
25. DA + Criteria: A New Quality Assessment Method for Bridging the Gap Between Human and Machine Translation ↗Bettina Hiebl
26. Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across DomainsDimitar Shterionov, Noa van Helleman, Eva Vanmassenhoveour summary
27. Diversity-Aware Literary Machine Translation with Multi-Reward Policy Optimization ↗Zeynep Yirmibeşoğlu Balal, Tunga Güngör
28. Does Speech Translation Meet Users' Needs? An English to Portuguese Study Across Demographics ↗Giuseppe Attanasio, Beatrice Savoldi, Daniel Chechelnitsky et al.
29. Embedding Similarity Is Not Quality Estimation: Lessons from Replacing a Dedicated QE ModelDimitrios Zaikis, Andrea Biondo, Matthew Dixon et al.our summary
30. English–Nepali–Tamang: A Trilingual Parallel Corpus and Benchmark for Low-Resource Machine Translation ↗Praveen Acharya, Rupak Raj Ghimire, Prakash Poudyal et al.
31. Enhancing LLM Translation Performance for Spanish–Valencian through Supervised Fine-Tuning and Reinforcement Learning ↗Paula Guerrero Castelló
32. Evaluating Machine Translation and Automatic Metrics in Subtitling: A Case Study on Spanish Multiword Expressions ↗María Miró Maestre, Iván Martínez-Murillo
33. Evaluating Terminology Translation Methods ↗Théo Salmenkivi-Friberg, Iikka Hauhio, Tommi Nieminen
34. Evaluating the Effect of Prompt Language on LLM-based Translation: Evidence from Spanish\ensuremath<\ensuremath>Italian Translation ↗Antonella Bove, Paola Di Cataldo, Davide Maestroni
35. Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution ↗Janiça Hackenbuchner, Jasper Degraeuwe, Arda Tezcan et al.
36. Extending Creativity: Large Language Models and the Practice of Poetry TranslationNatalia Resende, James Hadleyour summary
37. ForMaT: Dataset for Visually-Grounded Multilingual PDF Translation ↗Michał Ciesiółka, Dawid Wiśniewski, Adrian Charkiewicz et al.
38. From Insights to Impact: Actionable Interpretability for Neural Machine TranslationGabriele Sartiour summary
39. Fuzzy Matching and Sentence Embeddings for Few-shot Machine Translation with Large Language Models ↗Miguel Angel Rios Gaona, Claudia Plieseis, Dragos Ciobanu et al.
40. HERMeS: Human Evaluation & Ranking of MultiplE SystemsRex Vanhornour summary
41. Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data ↗Maxime Bouthors, Josep Crego, Dakun Zhang et al.
42. IndicDISCO-MT: A Discourse-Centric Benchmark for Evaluating Discourse Phenomena in Indian Language Machine Translation ↗Heli Hingrajiya, Vennela Bairi, Vandan Mujadia et al.
43. Is a Picture Worth a Thousand Words? Exploration and Implementation Considerations for Visual Context in Translation Workflows ↗Vera Senderowicz Guerra, Olesia Khrapunova
44. LLM-as-a-Jury for Machine Translation Publishability AssessmentAlex Yanishevsky, Olivia Norrisour summary
45. Literacy-Grounded and Industry-Oriented Translation Training with LT-LiDER ↗Janiça Hackenbuchner, María Isabel Rivas Ginel, Joss Moorkens et al.
46. LoRA Fine-Tuning of English–Norwegian NMT for the Oil & Gas IndustryXiaojing Yang, Zhihan Li, Gege Sun et al.our summary
47. LocRegen: Cost-Efficient Redundancy Removal in Multilingual E-commerce Titles with Small Language ModelsBryan Zhang, Stephan Walter, Luca Lomanto et al.our summary
48. MaTIAS – Machine Translation to Inform Asylum Seekers: final resultsJuly De Wilde, Anaïs Wouters, Arda Tezcan et al.our summary
49. Machine Translation in the Wild: User Reaction to Xiaohongshu's Built-In Translation Feature ↗Sui He
50. Making Jobs Accessible through AI-supported Easy Language TranslationFabian Merkel, Marco Baumgartner, Athanasios Breskas et al.our summary
51. Meaning-Making Process and Error Dynamics in ChatGPT-Mediated TranslationIulia Mihalache, María-José Varela Salinasour summary
52. MetaDocEval: A Contrastive Framework for Evaluating Machine Translation Metrics at the Document-Level ↗Nicolas Dahan, Rachel Bawden, François Yvon
53. Metaphors in Literary Post-Editing: Opening Pandora's Box? ↗Aletta G. Dorst, Mayra O. Nas, Katinka Zeven
54. Mitigating Gender Bias in English-Ukrainian Machine Translation Models ↗Pavels Ivanovs, Gina Welsh, Irini Selenica
55. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationZhan Shen, Jason Naradowsky, Xiaotian Wang et al.our summary
56. 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 Mackenour summary
57. OSCAIL-OpenScience Communication through AI in EU Languages ↗Sheila Castilho, Susanna Fiorini, Lynne Bowker et al.
58. On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?Joachim Minder, Guillaume Wisniewski, Natalie Küblerour summary
59. One Size Does Not Fit All: Why EU Legislative Translation Demands Domain-Specific Fine-Tuning of LLMsValerio Lorini, Paula Vlaic, Ulascan Akbulut et al.our summary
60. Parallel Corpus Development Toolkit (PCDT): A Web-Based Platform for Multilingual Parallel Data Creation ↗Praveen Acharya, Rupak Raj Ghimire, Bipesh Subedi et al.
61. Presentation of the Project CLingS: Cross-lingual information retrieval for scientific datasets in less-resourced languages ↗Valentina Fedchenko, Ka-I Lim, Milan Rusko
62. Prompsit's API and CLI: planet-friendly, privacy-first, open-source translation services for everyone ↗Lev Nikolaevich Berezhnoy, Gema Ramírez Sánchez, Sergio Ortiz Rojas et al.
63. Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with MachinesLara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jakiour summary
64. Quebec Translators in the Age of AI: Perceptions on the Evolution and Sustainability of the Translation Profession ↗Lynne Bowker, Monyka L. Rodrigues
65. Reaching multilingual communities: a survey mapping MT use in the West Midlands (UK) third and public sector organisations ↗David Orrego-Carmona, Priyanki Ghosh, Susana Valdez
66. Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language PairKshetrimayum Boynao Singh, Saksham Singh, Partha Pakray et al.our summary
67. Scalable Video-Based Search in the VGT DictionaryToon Vandendriessche, Caro Brosens, Hannes De Durpel et al.our summary
68. SinMix2Mono: A Dataset for Code-mixed Romanized Sinhala Translation and Transliteration ↗Rukshan Dias, Deshan Sumanathilaka, Archchana Sindhujan et al.
69. Smarter edits? Post-editing with error highlights and translation suggestionsFleur V.J. van Tellingen, Gautam Ranka, Dora Žugčić et al.our summary
70. TELÓ: AI-Driven Automatic Subtitling for the Promotion of the Performing ArtsAntoni Oliver, Sílvia Rodríguez Vázquez, Manel Jiménezour summary
71. TaMTAS: Terminology-Aware Machine Translation for Accessible Science. Large Corpus compilation, terminology extraction and data augmentationAntoni Oliver, Sergi Alvarez-Vidalour summary
72. Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine TranslationMaria Zafar, Souhail Bakkali, Rejwanul Haqueour summary
73. The Challenge of Finding Robust and Efficient Strategies for Training Machine Translation Models with Noisy Data ↗Mikko Aulamo, Sami Virpioja, Yves Scherrer et al.
74. The MULTI-TRAD Project: Parallel Corpora and Multidimensional Analysis of Human, Machine and Post-Edited Translation in the Third Social Sector ↗Maria del Mar Sánchez Ramos, Douglas E. Biber, Cristina Cano Fernández et al.
75. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformPanagiotis Tsolakis, Ziqian Peng, Laurent Romary et al.our summary
76. The Potential of Large Language Models for Translating Tourism Promotional Texts: A Mixed-methods Study ↗Raghad Alsulami
77. The Role of Prompt Language and Translation-Theory-Driven Prompts in Large Language Models: A Case Study on Spanish–Chinese Journalistic Translation ↗Haohong Lai, Weijia Li
78. The Two Towers for Estonian-Centric and Finno-Ugric Machine Translation ↗Mark Fishel, Lisa Yankovskaya
79. To Write or to Automate Linguistic Prompts, That Is the QuestionMarina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerkour summary
80. Towards Visually-Guided Movie Subtitle Translation for Indic Languages ↗Tarun Chintada, Kshetrimayum Boynao Singh, Asif Ekbal
81. Translating Under Pressure: Domain-Aware LLMs for Crisis Communication ↗Antonio Castaldo, Maria Carmen Staiano, Johanna Monti et al.
82. Translation 2.0: Equipping linguists for the machine translation future ↗Alina Karakanta, Vasilis Kalogiannis
83. Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows ↗Yuri Balashov, Rex Vanhorn, Mingxi Xu et al.
84. Using Model Disagreement to Identify Unstable Regions in MT Evaluation ↗Vitalii Iakivchuk
85. VERA: A Platform for Automatic and Human Evaluation of Machine Translation ↗Sofía García González, Inés Quintana Raña, Jorge N. Afonso Cabido et al.
86. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentLydia Nishimwe, Benoît Sagot, Rachel Bawdenour summary
87. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrerour summary
88. `It's like talking about how I use a pencil': Journalists' use of machine translation in their workMary Nurminen, Nina Havumetsäour summary
89. “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.our summary

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