Learn how to leverage Azure AI Translator’s Text Translation service to execute continuous language conversion efficiently. Perfect for localization and multilingual solutions.
Table of Contents
Question
Which feature of the Azure AI Translator service should you use to continuously execute conversion between source and target languages?
A. Knowledge mining
B. Part-of-Speech (POS) tagging
C. Text translation
D. Speech synthesis
Answer
C. Text translation
Explanation
Text translation is the core functionality of Azure AI Translator, designed to continuously translate text between supported languages as needed. It functions in real time, meaning that the translation happens as soon as you provide the input text.
Speech synthesis converts text into spoken audio and is not directly applicable to text-to-text translation use cases.
Part-of-Speech (POS) tagging is a service that identifies the grammatical function of words in a sentence, not translating them from one language to another.
Knowledge mining is a service that extracts insights from text data and is not specifically used for translating between languages.
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