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EAMT 2026: European Association for Machine Translation

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EAMT
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截稿日期:
2026-03-27 Extended
通知日期:
2026-04-24
会议日期:
2026-06-15
会议地点:
Tilburg, the Netherlands
届数:
26
ICORE: C   浏览: 849   关注: 0   参加: 0

会伴指数 (CP-I)

53.8 / 100
全站第 961 名 / 共 5,687 个会议 · 前 17%

自然语言处理与语音 第 18 / 85

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
89
社区关注 (10%)
5
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C · 有据可查的届次：26 · 过去 24 个月打开过本页的研究者：1 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-29

征稿

EAMT 2026 (European Association for Machine Translation) is a ICORE C conference held in Tilburg, the Netherlands on 2026-06-15. The paper submission deadline is 2026-03-27 (extended). Acceptance notifications are sent on 2026-04-24.

Research: Technical Submissions (up to 10 pages, plus unlimited pages for references, appendices and a sustainability statement) 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 Research: Translators & Users Submissions (up to 10 pages, plus unlimited references and appendices) are invited for academic research on all topics related to how professional translators and other types of MT users interact with, are affected by, or conceptualize machine translation. Papers should report significant research results with a strong theoretical and/or methodological contribution. Topics include, but are not limited to: The impact of MT and post-editing: including studies on processes, effort, strategies, usability, productivity, pricing, workflows, and post-editese Human factors and psycho-social aspects of MT adoption (ergonomics, motivation, and social impact on the profession) Emerging areas for MT & post-editing: audiovisual, game localization, literary texts, creative texts, social media, health care communication, crisis translation The use of LLMs for translation and the impact on language MT and ethics The impact of using translators' metadata and user activity data for monitoring their work Evaluation and reception of different modalities of translation: human translation, post-edited, raw MT MT and interpreting Human evaluations of MT output MT for gisting and the impact of MT on users: use cases, expectations, perceptions, trust, views on acceptability MT and usability MT and education/language learning MT in the translation/interpreting classroom Implementations & Case Studies Submissions (between 4 and 6 pages) are invited for reports on case studies and implementation experience with MT in organizations of all types, including small businesses, large corporations, governments, NGOs, or language service providers. We also invite translation practitioners to share their views and observations based on their day-to-day experience working with MT in a variety of environments. Topics include, but are not limited to: Integrating or optimizing MT and computer-assisted translation in translation production workflows Managing change when implementing and using MT Implementing open-source MT Evaluating MT in a real-world setting Ethical and confidentiality issues when using MT, especially MT in the cloud and LLMs Using MT in social networking or real-time communication MT and usability Implementing MT to process multilingual content for assimilation purposes MT in literary, audiovisual, game localization and creative texts Impact of MT and post-editing on translation practices and the profession Psycho-social aspects of MT adoption Error analysis and post-editing strategies The use of translators' metadata and user activity data in MT development Freelance translators' independent use of MT MT and interpreting Products & Projects Submissions (2 pages, including references) are invited on either of the subtracks (Products or Projects). Products: Tools for machine translation, computer-aided translation, and other translation technologies (including commercial products and free/open-source software). Descriptions should include information about product availability and licensing, an indication of cost if applicable, basic functionality, (optionally) a comparison with other products, and a description of the technologies used. The authors should be ready to present the tools in the form of demos or posters during the conference. Projects: Research projects, funded through grants obtained in competitive public or private calls related to machine translation. Descriptions should contain: project title and acronym, funding agency, project reference, duration, list of partner institutions or companies in the consortium if there is one, project objectives, and a summary of partial results available or final results if the project has ended. The authors should be ready to present the projects in the form of posters during the conference.
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CFuture Generation Computer Systems5.9Elsevier0167-739X
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