You are developing an app for a conference provider. The app will use speech-to-text to provide transcription at a conference in English. It will also use the
Translator Text API to translate the transcripts to the language preferred by the conference attendees.
You test the translation features on the app and discover that the translations are fairly poor.
You want to improve the quality of the translations.
Which of the following actions should you take?

A. Use Text Analytics to perform the translations.

B. Use the Language Understanding (LUIS) API to perform the translations.

C. Perform the translations by training a custom model using Custom Translator.

D. Use the Computer Vision API to perform the translations.








 

Suggested Answer: C

Custom Translator is a feature of the Microsoft Translator service. With Custom Translator, enterprises, app developers, and language service providers can build neural translation systems that understand the terminology used in their own business and industry. The customized translation system will then seamlessly integrate into existing applications, workflows and websites.
Custom Translator allows users to customize Microsoft Translator's advanced neural machine translation for Translator's supported neural translation languages.
Custom Translator can be used for customizing text when using the Microsoft Translator Text API, and speech translation using the Microsoft Speech services.
Reference:
https://www.microsoft.com/en-us/translator/business/customization/

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





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