How I use an LLM as a translation judge

1. 1Use GEMBA-MQM v2 to evaluate translation quality
2. 2Configure the LLM to classify errors by type and severity using MQM
3. 3Integrate the LLM into your live speech-to-speech translation pipeline
4. 4Test the LLM's annotation process using sample translations
5. 5Compare the LLM's evaluations with human judgments to fine-tune its performance

Translation teams and developers working on speech-to-speech translation pipelines can benefit from using an LLM as a translation judge to improve translation quality

💡 LLMs can be used to evaluate translation quality using open industry standards like MQM, reducing the need for manual human review

Use an LLM as a translation judge to improve translation quality in your speech-to-speech pipeline!