AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality Control

Emanuele Di Rosa, Piotr Peszynski


Abstract
We present AIDA Agents, a multi-agent translation platform that orchestrates LLM-based agents—for translation, rating, post-editing, and re-rating—delivering context-aware translations without model fine-tuning. Optional retrieval-augmented generation (RAG) injects translation memories, terminology, and style guidelines at every pipeline stage. On WMT24++ (Deutsch et al., 2025) (11 languages), AIDA Agents outperforms all systems on 10 of 11 pairs. On an industrial benchmark, 70–98% of segments are publication-ready without human post-editing. The platform is deployed with native XLIFF integration.
Anthology ID:
2026.eamt-2.4
Volume:
Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)
Month:
June
Year:
2026
Address:
Tilburg, The Netherlands
Editors:
Dimitar Shterionov, Eva Vanmassenhove, Mirella De Sisto, Fred Blain, Javad Pourmostafa Roshan Sharami, Lisa Lepp, Chiara Manna, Argentina Anna Rescigno, Alina Karakanta, Ayla Rigouts Terryn, Manuel Lardelli, Natalia Resende, Elena Murgolo, Janiça Hackenbuchner, Anna Zaretskaya, Miquel Esplà-Gomis, Thierry Etchegoyhen, Dagmar Gromann, Rachel Bawden, Barry Haddow, Sara Szoc, Mikel Forcada, Helena Moniz
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
8–9
Language:
URL:
https://aclanthology.org/2026.eamt-2.4/
DOI:
Bibkey:
Cite (ACL):
Emanuele Di Rosa and Piotr Peszynski. 2026. AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality Control. In Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2), pages 8–9, Tilburg, The Netherlands. European Association for Machine Translation.
Cite (Informal):
AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality Control (Rosa & Peszynski, EAMT 2026)
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PDF:
https://aclanthology.org/2026.eamt-2.4.pdf