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Bronze Sponsor ACL 2026

Presenting our Research
Paper at ACL 2026

Multi-Agent Orchestration for Terminology-Constrained Machine
Translation in Industrial Localization

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Emanuele Di Rosa

Presented By Emanuele Di Rosa

DATAmundi CTO

Why this Research Matters for Global AI

Our research focuses on a multi-agent LLM pipeline that orchestrates four specialized agents across analysis, translation, post-editing, and review for terminology-constrained machine translation. ​
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Terminology

Improves terminology consistency in production machine translation

Real-world

Real-World

Designed for real world multilingual content and data pipelines.

Approach

Approach

Demonstrates multi-agent orchestration beyond single-model approaches.

Research paper

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The DATAmundi Team at ACL 2026

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Veronique Ozkaya

Véronique Özkaya

Chief Executive Officer
Emanuele Di Rosa

Emanuele Di Rosa

Chief Technology Officer
Asier Pereda Jayo

Asier Pereda Jayo

Chief Revenue Officer
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VP Global Growth

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