📰 EAMT 2024: all accepted papers

86 papers · the most cited first · ← EAMT 2024

1. A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning ↗Ramakrishna Appicharla, Baban Gain, Santanu Pal et al.
2. A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling ↗Sebastian Vincent, Charlotte Prescott, Chris Bayliss et al.
3. A Human Perspective on GPT-4 Translations: Analysing Faroese to English News and Blog Text Translations ↗Annika Simonsen, Hafsteinn Einarsson
4. AI4Culture: Towards Multilingual Access for Cultural Heritage Data ↗Tom Vanallemeersch, Sara Szoc, Laurens Meeus
5. Added Toxicity Mitigation at Inference Time for Multimodal and Massively Multilingual Translation ↗Marta R. Costa-jussà, David Dale, Maha Elbayad et al.
6. Advancing Digital Language Equality in Europe: A Market Study and Open-Source Solutions for Multilingual Websites ↗Andrejs Vasiljevs, Rinalds Vīksna, Neil Vacheva et al.
7. Aligning Neural Machine Translation Models: Human Feedback in Training and Inference ↗Miguel Ramos, Patrick Fernandes, António Farinhas et al.
8. An Eye-Tracking Study on the Use of Machine Translation Post-Editing and Automatic Speech Recognition in Translations for the Medical Domain ↗Raluca Chereji
9. Analysis of the Annotations from a Crowd MT Evaluation Initiative: Case Study for the Spanish-Basque Pair ↗Nora Aranberri
10. Assessing Translation Capabilities of Large Language Models involving English and Indian Languages ↗Vandan Mujadia, Ashok Urlana, Yash Bhaskar et al.
11. Automatic detection of (potential) factors in the source text leading to gender bias in machine translation ↗Janiça Hackenbuchner, Arda Tezcan, Joke Daems
12. Bayesian Hierarchical Modelling for Analysing the Effect of Speech Synthesis on Post-Editing Machine Translation ↗Miguel Rios, Justus Brockmann, Claudia Wiesinger et al.
13. Boosting Machine Translation with AI-powered terminology features ↗Marek Sabo, Judith Klein, Giorgio Bernardinello
14. Bootstrapping Pre-trained Word Embedding Models for Sign Language Gloss Translation ↗Euan McGill, Luis Chiruzzo, Horacio Saggion
15. CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models using Real and Synthetic Back-Translation Data ↗Kung Hong, Lifeng Han, Riza Batista-Navarro et al.
16. Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation ↗Kamil Guttmann, Mikołaj Pokrywka, Adrian Charkiewicz et al.
17. Community-driven machine translation for the Catalan language at Softcatalà ↗Xavi Ivars-Ribes, Jordi Mas, Marc Riera et al.
18. Comparative Quality Assessment of Human and Machine Translation with Best-Worst Scaling ↗Bettina Hiebl, Dagmar Gromann
19. Creating and Evaluating a Multilingual Corpus of UN General Assembly Debates ↗Hannah Bechara, Krishnamoorthy Manohara, Slava Jankin
20. Cultural Transcreation with LLMs as a new product ↗Beatriz Silva, Helena Wu, Yan Jingxuan et al.
21. Detector–Corrector: Edit-Based Automatic Post Editing for Human Post Editing ↗Hiroyuki Deguchi, Masaaki Nagata, Taro Watanabe
22. Direct Speech Translation Toward High-Quality, Inclusive, and Augmented Systems ↗Marco Gaido
23. ERC Advanced Grant Project CALCULUS: Extending the Boundary of Machine Translation ↗Jingyuan Sun, Mingxiao Li, Ruben Cartuyvels et al.
24. Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models ↗Andrea Piergentili, Beatrice Savoldi, Matteo Negri et al.
25. Enhancing Scientific Discourse: Machine Translation for the Scientific Domain ↗Dimitris Roussis, Sokratis Sofianopoulos, Stelios Piperidis
26. Estonian-Centric Machine Translation: Data, Models, and Challenges ↗Elizaveta Korotkova, Mark Fishel
27. Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC) ↗Shenbin Qian, Constantin Orasan, Félix Do Carmo et al.
28. Evaluation of intralingual machine translation for health communication ↗Silvana Deilen, Ekaterina Lapshinova-Koltunski, Sergio Garrido et al.
29. ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread ↗Jake Vasilakes, Zhixue Zhao, Michal Gregor et al.
30. Exploring NMT Explainability for Translators Using NMT Visualising Tools ↗Gabriela Gonzalez-Saez, Mariam Nakhle, James Turner et al.
31. Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation ↗Claudio Fantinuoli, Xiaoman Wang
32. Exploring the Effectiveness of LLM Domain Adaptation for Business IT Machine Translation ↗Johannes Eschbach-Dymanus, Frank Essenberger, Bianka Buschbeck et al.
33. FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes ↗Dawid Wisniewski, Zofia Rostek, Artur Nowakowski
34. GAMETRAPP project in progress: Designing a gamified environment for post-editing research abstracts ↗Laura Noriega-Santiáñez, Cristina Toledo-Báez
35. GeFMT: Gender-Fair Language in German Machine Translation ↗Manuel Lardelli, Anne Lauscher, Giuseppe Attanasio
36. Generating subject-matter expertise assessment questions with GPT-4: a medical translation use-case ↗Diana Silveira, Marina Sánchez-Torrón, Helena Moniz
37. HPLT's First Release of Data and Models ↗Nikolay Arefyev, Mikko Aulamo, Pinzhen Chen et al.
38. INCREC: Uncovering the creative process of translated content using machine translation ↗Ana Guerberof-Arenas
39. Implementations & Case Studies ↗Page Break
40. Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLMs ↗Mara Nunziatini, Sara Diego
41. Improving NMT from a Low-Resource Source Language: A Use Case from Catalan to Chinese via Spanish ↗Yongjian Chen, Antonio Toral, Zhijian Li et al.
42. Iterative Translation Refinement with Large Language ModelsPinzhen Chen, Zhicheng Guo, Barry Haddow et al.our summary
43. LLMs in Post-Translation Workflows: Comparing Performance in Post-Editing and Error Analysis ↗Celia Uguet, Fred Bane, Mahmoud Aymo et al.
44. Lightweight neural translation technologies for low-resource languages ↗Felipe Sánchez-Martínez, Juan Antonio Pérez-Ortiz, Víctor Sánchez-Cartagena et al.
45. Literacy in Digital Environments and Resources (LT-LiDER) ↗Joss Moorkens, Pilar Sánchez-Gijón, Esther Simon et al.
46. MTPE quality evaluation in translator education: the postedit.me app ↗Marie-Aude Lefer, Romane Bodart, Justine Piette et al.
47. MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs ↗Serge Gladkoff, Lifeng Han, Gleb Erofeev et al.
48. MULTILINGTOOL, Development of an Automatic Multilingual Subtitling and Dubbing System ↗Xabier Saralegi, Ander Corral, Igor Leturia et al.
49. MaTIAS: Machine Translation to Inform Asylum Seekers ↗Lieve Macken, Ella Hest, Arda Tezcan et al.
50. Mitigating Translationese with GPT-4: Strategies and Performance ↗Maria Kunilovskaya, Koel Dutta Chowdhury, Heike Przybyl et al.
51. Mitra: Improving Terminologically Constrained Translation Quality with Backtranslations and Flag Diacritics ↗Iikka Hauhio, Théo Friberg
52. Multilinguality in the VIGILANT project ↗Brendan Spillane, Carolina Scarton, Robert Moro et al.
53. Perceptions of Educators on MTQA Curriculum and Instruction ↗João Camargo, Sheila Castilho, Joss Moorkens
54. Post-editors as Gatekeepers of Lexical and Syntactic Diversity: Comparative Analysis of Human Translation and Post-editing in Professional Settings ↗Lise Volkart, Pierrette Bouillon
55. Pre-task perceptions of MT influence quality and productivity: the importance of better translator-computer interactions and implications for training ↗Vicent Briva-Iglesias, Sharon O'Brien
56. Products & Projects ↗Page Break
57. Promoting Target Data in Context-aware Neural Machine Translation ↗Harritxu Gete, Thierry Etchegoyhen
58. Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts ↗Sui He
59. Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation ↗Nathaniel Berger, Stefan Riezler, Miriam Exel et al.
60. Quality Estimation with $k$-nearest Neighbors and Automatic Evaluation for Model-specific Quality Estimation ↗Tu Anh Dinh, Tobias Palzer, Jan Niehues
61. Quantifying the Contribution of MWEs and Polysemy in Translation Errors for English–Igbo MT ↗Adaeze Ohuoba, Serge Sharoff, Callum Walker
62. RCnum: A Semantic and Multilingual Online Edition of the Geneva Council Registers from 1545 to 1550 ↗Pierrette Bouillon, Christophe Chazalon, Sandra Coram-Mekkey et al.
63. ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation ↗Javier García Gilabert, Carlos Escolano, Marta R. Costa-Jussà
64. Recovery Should Never Deviate from Ground Truth: Mitigating Exposure Bias in Neural Machine Translation ↗Jianfei He, Shichao Sun, Xiaohua Jia et al.
65. Research: Technical ↗Page Break
66. Research: Translators & Users ↗Page Break
67. SMUGRI-MT - Machine Translation System for Low-Resource Finno-Ugric Languages ↗Taido Purason, Aleksei Ivanov, Lisa Yankovskaya et al.
68. SignON – a Co-creative Machine Translation for Sign and Spoken Languages (end-of-project results, contributions and lessons learned) ↗Dimitar Shterionov, Vincent Vandeghinste, Mirella Sisto et al.
69. SmartBiC: Smart Harvesting of Bilingual Corpora from the Internet ↗Gema Ramírez-Sánchez, Sergio Ortiz Rojas, Alicia Núñez Alcover et al.
70. Streaming Neural Speech Translation ↗Javier Iranzo-Sánchez
71. SubMerge: Merging Equivalent Subword Tokenizations for Subword Regularized Models in Neural Machine Translation ↗Haiyue Song, Francois Meyer, Raj Dabre et al.
72. The BridgeAI Project ↗Helena Moniz, Joana Lamego, Nuno André et al.
73. The Center for Responsible AI Project ↗Maria Ana Henriques, Ana Farinha, Nuno André et al.
74. The MAKE-NMTViz Project: Meaningful, Accurate and Knowledge-limited Explanations of NMT Systems for Translators ↗Gabriela Gonzalez-Saez, Fabien Lopez, Mariam Nakhle et al.
75. The MTxGames Project: Creative Video Games and Machine Translation – Different Post-Editing Methods in the Translation Process ↗Judith Brenner
76. The Use of MT by humanitarian NGOs in Hong Kong ↗Marija Todorova, Rachel Hang Yi Liu
77. Thesis Award ↗Page Break
78. Thesis: Model-based Evaluation of Multilinguality ↗Jannis Vamvas
79. Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation ↗Esther Ploeger, Huiyuan Lai, Rik Van Noord et al.
80. Training an NMT system for legal texts of a low-resource language variety South Tyrolean German - Italian ↗Antoni Oliver, Sergi Álvarez, Egon W. Stemle et al.
81. Transitude: Machine Translation on Social Media: MT as a potential tool for opinion (mis)formation ↗Khetam Al Sharou, Joss Moorkens
82. Translate your Own: a Post-Editing Experiment in the NLP domain ↗Rachel Bawden, Ziqian Peng, Maud Bénard et al.
83. Translators' perspectives on machine translation uses and impacts in the Swiss Confederation: Navigating technological change in an institutional setting ↗Paolo Canavese, Patrick Cadwell
84. Using Machine Learning to Validate a Novel Taxonomy of Phenomenal Translation States ↗Michael Carl, Sheng Lu, Ali Al-Ramadan
85. Using Machine Translation to Augment Multilingual Classification ↗Adam King
86. plain X: 4-in-1 multilingual adaptation platform ↗Peggy Kreeft, Mirko Lorenz, Carlos Amaral

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