Conference of the European Association for Machine Translation

Overview

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 the 26th edition of the EAMT conference. Driven by the state of the art, the research community is invited to demonstrate their cutting-edge research and results; professional MT users – to provide insights into successful implementation of MT in business scenarios as well as implementation scenarios involving large corporations, governments, or NGOs. Translation studies scholars and translation practitioners are also invited to share their experience with MT. Note: Papers that have been archived in arXiv can be accepted for submission provided that they have not already been published elsewhere. Submissions are invited for reports of significant research results in any aspect of machine translation and related areas. Such reports should include a substantial evaluation component, or have a strong theoretical and/or methodological contribution where results and in-depth evaluations may not be appropriate. Topics include, but are not limited to: Latest advances in MT and translation technology; Recent advances in LLMs focusing on translation and other cross-lingual tasks; Model distillation, compression and optimisation of MT technology (including LLMs); Efficiency improvement and MT with low computational resources; MT for low-resource languages and varieties (including historical languages); Few-shots adaptation and pre-trained MT systems; Data augmentation, RAG and in-context learning for translation; Comparative evaluation of MT systems; MT quality estimation and evaluation techniques, metrics, and evaluation results; Novel evaluation metrics and evaluation strategies, especially focusing on LLM-generated translations; Interactive and real-time adaptive MT systems; Hybrid MT systems; Ethical, privacy and environmental considerations related to the use of MT technology; Advanced MT fine-tuning and enhancement: including pre- and post-processing; controlling style, tone of voice, gender; MT in production scenarios, use-cases, robustness and deployment challenges and solutions; Technologies for MT deployment and use in professional translation settings (CATs, TMSs, etc.); MT for multiple modalities (speech, sign language, video, etc.); MT for real-time communication (chats, social networks, etc.); Linguistic resources for MT: corpora, terminologies, dictionaries, etc.; Related multilingual technologies: natural language generation, information retrieval, text categorization, text summarization, information extraction, optical character recognition, etc.; Source text improvement: improving the source content destined for MT through automatic tools such as grammar correction, guidelines, and NLP.

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