To fix omissions of technical terms in an AI translation tool by integrating domain-specific glossaries, fine-tuning models with engineering datasets, enforcing terminology consistency, and applying back-translation validation.
Here is the code snippet you can refer to:

In the above code we are using the following key points:
- Domain-Specific Glossary Integration: Ensures accurate translation of technical terms.
- Automated Glossary Enforcement: Replaces misinterpreted translations with predefined equivalents.
- Consistent Terminology Handling: Prevents inconsistencies across documents.
- Machine Translation with Post-Processing: Uses API-based translation with custom refinements.
- Scalability for Multilingual Support: Can extend to multiple languages and technical fields.
Hence, improving AI-based multilingual translation for engineering documents requires integrating domain-specific glossaries, ensuring terminology consistency, and applying validation mechanisms to prevent omissions of technical terms.