37.3333, Confs: 28th Annual Conference of the European Association for Machine Translation (Spain)

[The LINGUIST List]

LINGUIST List: Vol-37-3333. Thu Oct 15 2026. ISSN: 1069 - 4875.

Subject: 37.3333, Confs: 28th Annual Conference of the European Association for Machine Translation (Spain)

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Date: 14-Oct-2026
From: Sabrina Girletti [sabrina.girletti at unige.ch]
Subject: 28th Annual Conference of the European Association for Machine Translation


28th Annual Conference of the European Association for Machine
Translation
Short Title: EAMT 2027

Date: 03-May-2027 - 06-May-2027
Location: Barcelona, Spain
Meeting URL: https://www.eamt2027.org/

Linguistic Field(s): Computational Linguistics; Translation

The European Association for Machine Translation (EAMT) will hold its
2027 annual conference in Barcelona. As the European branch of the
International Association for Machine Translation (IAMT)—working
alongside sister organizations in the Americas (AMTA) and the
Asia-Pacific region (AAMTA)—the EAMT brings together academic
researchers, software developers, corporate users, and translation
professionals to share research findings and discuss translation
technology.
The four-day conference begins with three days focused on the main
program, organized into four parallel tracks. The Research and
Technical Track covers machine translation architectures, neural
models, and automated quality evaluation. The Research for Translators
and Users Track examines human-computer interaction, post-editing
workflows, and the practical impact of technology on professional
linguists. The Implementations and Case Studies Track addresses
real-world enterprise deployments, productivity metrics, and data
privacy considerations. Finally, the Products and Projects Track
features live software demonstrations, commercial tools, open-source
applications, and updates from funded research initiatives.
The fourth and final day of the conference is dedicated entirely to
workshops and tutorials. This concluding day offers attendees a chance
to participate in hands-on training and focused discussions on
specialized topics, such as low-resource language processing, domain
adaptation, and the practical integration of large language models
into commercial translation workflows.



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