Terminology Translation Accuracy Solutions
Terminology consistency is the central challenge in translating professional documents across languages. qwen3-mt offers two specific solutions:
- Terminology intervention function: By uploading a glossary in JSON/CSV format (example structure: {"original word": "canonical translation"}), the system will force the translation of terms according to the glossary. For example, in medical scenarios, "myocardial infarction" is fixed as "myocardial infarction" instead of "heart infarction".
- Field Tip EnhancementWhen used in conjunction with a glossary, the model activates the Medical Knowledge Graph to optimize contextual translation by adding a domain parameter (e.g., "medical") to the API request. Experimental data shows that this improves terminology accuracy by 27%
Operation Procedure: There is an "Upload Glossary" button in the upper right corner of the online demo page; when calling API, it is necessary to add terminology field in the request body. It is recommended to create independent terminology libraries for different projects, and it is recommended to use standard mappings such as "terms→clause" and "parties→party" for legal documents.
This answer comes from the articleQwen3-MT: An Intelligent Translation Tool Supporting 92 LanguagesThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of accuracy of specialized terminology in cross-language translation?
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