Module 1. Deployment, Integration and Evaluation

Welcome to Module 1 of the course. This module covers the deployment of machine translation engines, their integration into professional CAT tools, and the evaluation of NMT models and Large Language Models (LLMs).

• 1. The MTUOC project

• Core ecosystem, server architecture, installation, and basic usage.

• 2. Open Neural Machine Translation models

• Deployment and usage of open-source NMT architectures such as OpusMT and NLLB.

• 3. Integration into CAT tools

• Connecting MTUOC server with professional translation software including OmegaT and Trados.

• 4. Large Language Models and translation

• Overview and application of LLMs within machine translation workflows.

• 5. Large Language models integration into MTUOC server

• Practical integration of open LLMs (such as SalamandraTA and Gemma) into local pipelines.

• 6. Summary and Self-Assessment

• Global review of Module 1 concepts and self-assessment evaluation.