EAMT 2023
Conference of the European Association of Machine Translation
EAMT 2023 will be jointly organised by EAMT and Tampere University.
Location
- Tampere, Finland
Links
Important Dates
| Deadline for paper submission | 10 March |
| Notification to paper authors | 06 April |
| Author Registration | 05 May |
| Camera ready deadline | 05 May |
| Conference | 12 June |
| Deadline for tutorial submission | 03 March |
| Notification of tutorial acceptance | 06 April |
| Tutorial slides, abstract, bibliography, any other materials | 01 June |
| Conference | 12 June |
| Deadline for workshop submission | 20 February |
| Notification for workshop submission | on a rolling basis |
| Conference | 15 June |
Keynote speakers
- Lynne Bowker, Full Professor at the University of Ottawa in Canada
- Marco Turchi, Head of the Machine Translation activities at Zoom Video Communications
Schedule
Day 1
| 8:00 | Registration |
| 9:00 | Opening of the conference |
| 9:30 | Translators and Users Research track Do online Machine Translation Systems Care for Context? What About a GPT Model? Sheila Castilho, Clodagh Quinn Mallon, Rahel Meister, Shengya Yue |
| 10:00 | Translators and Users Research track Analysing Mistranslation of Emotions in Multilingual Tweets by Online MT Tools Hadeel Saadany, Constantin Orasan, Félix Do Carmo, Leonardo Zilio, Rocio Caro Quintana |
| 10:30 | ☕️ |
| 11:00 | Keynote Towards an Outward Turn in Translation Technology Research? Lynne Bowker |
| 12:00 | Poster boaster Products & Projects + Implementations & Case Studies |
| 12:45 | 🍴 |
| 14:00 | Poster session Products & Projects + Implementations & Case Studies |
| 14:45 | ☕️ |
| 15:15 | Technical Research track Empirical Assessment of kNN-MT for Real-World Translation Scenarios Pedro Henrique Martins, João Alves, Tânia Vaz, Madalena Gonçalves, Beatriz Silva, Marianna Buchicchio, José G. C. de Souza, André F. T. Martins |
| 15:45 | Technical Research track What Works When in Context-aware Neural Machine Translation Harritxu Gete, Thierry Etchegoyhen, Gorka Labaka |
| 16:15 | Technical Research track Investigating the Translation Performance of a Large Multilingual Language Model: The Case of BLOOM Rachel Bawden, François Yvon |
| 18:00 | Reception at Tampere City Hall |
Day 2
| 8:30 | Registration |
| 9:00 | Announcements |
| 9:15 | Implementations and Case Studies track Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard Rebecca Knowles, Samuel Larkin, Marc Tessier, Michel Simard |
| 9:45 | Implementations and Case Studies track Quality Fit for Purpose: Building Business Critical Errors Test Suites Mariana Cabeça, Marianna Buchicchio, Madalena Gonçalves, Christine Maroti, João Godinho, Pedro Coelho, Helena Moniz, Alon Lavie |
| 10:15 | ☕️ |
| 10:45 | Best thesis presentation Towards Efficient Universal Neural Machine Translation Biao Zhang |
| 11:15 | Poster boaster Research: Technical + Translators & Users |
| 12:00 | Poster session Research: Technical + Translators & Users |
| 12:45 | 🍴 |
| 14:00 | Technical Research track State Spaces Aren’t Enough: Machine Translation Needs Attention Ali Vardasbi, Telmo Pessoa Pires, Robin Schmidt, Stephan Peitz |
| 14:30 | Technical Research track Segment-based Interactive Machine Translation at a Character Level Angel Navarro, Miguel Domingo, Francisco Casacuberta |
| 15:00 | ☕️ |
| 15:30 | Roundtable discussion The Impact of Large Language Models (LLMs) on MT: A European view Andreas Eisele, André Martins, Christian Federmann, Helena Moniz, Kenneth Church, Mikel Forcada |
| 16:30 | EAMT General Assembly |
| 19:00 | Conference dinner at Näsinneula restaurant |
Day 3
| 8:45 | Registration |
| 9:15 | Announcements |
| 9:30 | Keynote Towards real-time meeting translation Marco Turchi |
| 10:30 | ☕️ |
| 11:00 | Translators and Users Research track Migrant communities living in the Netherlands and their use of MT in healthcare settings Susana Valdez, Ana Guerberof Arenas, Kars Ligtenberg |
| 11:30 | Translators and Users Research track DataLitMT – Teaching Data Literacy in the Context of Machine Translation Literacy Janiça Hackenbuchner, Ralph Krüger |
| 12:00 | Implementations and Case Studies track Incorporating Human Translator Style into English-Turkish Literary Machine Translation Zeynep Yirmibeşoğlu, Olgun Dursun, Harun Dallı, Mehmet Şahin, Ena Hodzik, Sabri Gürses, Tunga Güngör |
| 12:30 | 🍴 |
| 13:45 | Implementations and Case Studies track Building Machine Translation Tools for Patent Language: A Data Generation Strategy at the European Patent Office Matthias Wirth, Volker D. Hähnke, Franco Mascia, Arnaud Wéry, Konrad Vowinckel, Marco del Rey, Raúl Mohedano del Pozo, Pau Montes, Alexander Klenner-Bajaja |
| 14:15 | Technical Research track Tailoring Domain Adaptation for Quality Estimation in NMT Javad Pourmostafa Roshan Sharami, Dimitar Shterionov, Frédéric Blain, Eva Vanmassenhove, Mirella De Sisto, Chris Emmery, Pieter Spronck |
| 14:45 | Technical Research track Adaptive Machine Translation with Large Language Models Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way |
| 15:15 | Closing of the conference |
| 15:45 | ☕️ |
| 18:00 | Sauna party at Varala |
Day 3
Workshops
| First International Workshop on Gender-Inclusive Translation Technologies (GITT 2023) | Eva Vanmassenhove, Beatrice Savoldi, Luisa Bentivogli, Joke Daems, Janiça Hackenbuchner |
| Second International Workshop on Automated Translation for Sign and Spoken Languages (AT4SSL 2023) | Dimitar Shterionov, Mirella De Sisto, Frederic Blain, Mathias Müller, Davy Van Landuyt, Rehana Omardeen, Shaun O’Boyle, Annelies Braffort, Floris Roelofsen, Bram Vanroy, Eleftherios Avramidis |
| Workshop on Open Community-Driven Machine Translation | Miquel Esplà-Gomis, Nikola Ljubešić, Rik van Noord, Gema Ramírez-Sánchez, Jörg Tiedemann, Antonio Toral |
| Workshop on Multilingual, Multimodal and Multitask Language Generation (Multi3Generation) | Anabela Barreiro (INESC-ID Lisboa, Portugal), Max Silberztein (University of Franche-Comté, France), Elena Lloret (University of Alicante, Spain) |
Proceedings
events.tuni.fi/uploads/2023/06/a52469c0-proceedings-eamt2023.pdf
Table of contents
Call for papers
The European Association for Machine Translation (EAMT) invites everyone interested in machine translation and translation-related tools and resources ― developers, researchers, users, translation and localization professionals and managers ― to participate in this conference.
Categories and topics
Research: technical
- Deep-learning approaches for machine translation and machine translation evaluation
- Advances in classical machine translation paradigms: statistical, rule-based, and hybrid approaches
- Comparison of various machine translation approaches
- Technologies for machine translation deployment: quality estimation, domain adaptation, and more
- Resources and evaluation
- Machine translation in special settings: low resources, massive resources, high volume, low computing resources
- Machine translation applications: translation/localization aids, speech translation, machine translation for user generated content (blogs, social networks), machine translation in computer-aided language learning, and more
- Linguistic resources for machine translation: corpora, terminologies, dictionaries, and more
- Machine translation evaluation techniques, metrics, and evaluation results
- Human factors in machine translation and user interfaces
- Related multilingual technologies: natural language generation, information retrieval, text categorization, text summarization, information extraction, optical character recognition, and more
Research: translators & users
- The impact of machine translation and post-editing: including studies on processes, effort, strategies, usability, productivity, pricing, workflows, and post-editese
- Human factors and psycho-social aspects of machine translation adoption (ergonomics, motivation, and social impact on the profession)
- Emerging areas for machine translation and post-editing: audiovisual, game localization, literary texts, creative texts, social media, health care communication, crisis translation
- Machine translation and ethics
- The impact of using translators’ metadata and user activity data for monitoring their work
- The evaluation and reception of different modalities of translation: human translation, post-edited, raw machine translation
- Machine translation and interpreting
- Human evaluations of machine translation output
- Machine translation for gisting and the impact of machine translation on users: use cases, expectations, perceptions, trust, views on acceptability
- Machine translation and usability
- Machine translation and education/language learning
- Machine translation in the translation/interpreting classroom
Implementations and case studies
- Integrating or optimizing machine translation and computer-assisted translation in translation production workflows (translation memory/machine translation thresholds, mixing online and offline tools, using interactive machine translation, dealing with machine translation confidence scores)
- Managing change when implementing and using machine translation (for example, switching between multiple machine translation systems, limiting degradations when updating or upgrading an machine translation system)
- Implementing open-source machine translation (for example, strategies to get support, reports on taking pilot results into full deployment, examples of advanced customisation sought and obtained thanks to the open-source paradigm, collaboration within open-source machine translation projects)
- Evaluating machine translation in a real-world setting (for example, error detection strategies employed, metrics used, productivity or translation quality gains achieved)
- Ethical and confidentiality issues when using machine translation, especially machine translation in the cloud
- Using machine translation in social networking or real-time communication (for example, enterprise support chat, multilingual content for social media)
- Machine translation and usability
- Implementing machine translation to process multilingual content for assimilation purposes (for example, cross-lingual information retrieval, machine translation for e-discovery or spam detection, machine translation for highly dynamic content)
- Machine translation in literary, audiovisual, game localization and creative texts
- Impact of machine translation and post-editing on translation practices and the profession: processes, effort, compensation
- Psycho-social aspects of machine translation adoption (ergonomics, motivation, and social impact on the profession)
- Error analysis and post-editing strategies (including automatic post-editing and automation strategies)
- The use of translators’ metadata and user activity data in machine translation development
- Freelance translators’ independent use of machine translation
- Machine translation and interpreting
Products & Projects
Products
- Tools for machine translation
- Computer-aided translation
- Other translation technologies (including commercial products and free/open-source software).
Projects
- Research projects, funded through grants obtained in competitive public or private calls related to machine translation.
There will be a poster boaster session for this track, in which authors will have 120 seconds to attract attendees to their posters or demos with a two-slide presentation.
Best thesis awards 2023
The EAMT Best Thesis Award 2023 for PhD theses defended during 2022 will be awarded at the conference, together with a presentation of the winner’s work. Information for candidates for the award will be available soon. Templates for writing your paper
Call for workshops
EAMT workshops are intended to provide the opportunity for MT-related communities of interest to spend focused time together advancing the state of thinking or the state of practice in their area of interest or endeavour. Workshops are generally scheduled as full-day events.
events.tuni.fi/eamt23/call-for-workshop-proposals/
Call for tutorials
The aim of a tutorial is primarily to help the audience to develop understanding of particular technical, applied, and business matters related to research, development, and use of MT and translation technology.