Lara features a unique translation quality feedback system designed to help users assess and improve their translations. This article explains how the feedback system works and what each feedback category means.
How the translation quality feedback works
The quality feedback feature analyzes various inputs, including source and target languages, the text itself, and the context provided. After processing this information, Lara categorizes the translation feedback into three categories:
- Excellent 😍: the translation effectively captures the context and nuances, requiring no further refinement.
- Good 😊: the translation conveys the overall meaning but may have minor nuances that need improvement. Suggestions for enhancements may be provided.
- Ambiguous Source 🧐: the feedback indicates that the source text lacks clarity, making accurate translation difficult. Lara may ask specific questions to clarify ambiguities.
Please note that every time that you provide the requested details to the feedback, the context will be updated and applied for the following translations:
1) Providing info to the translation quality feedback to add context:
2) Context applied:
3) Contextual information:
Using feedback effectively
This feedback can help you refine and improve your translations. While it provides valuable insights, it’s important to review and finalize your translations, as the system may not always capture every nuance perfectly.
By understanding and utilizing Lara's translation quality feedback, you can enhance the accuracy and quality of your translations, ensuring effective communication across languages.
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