How does Azure Computer Vision support language recognition for text?

• A. By limiting to one language per request
• B. By adapting models to specified languages
• C. By requiring translation services
• D. By only supporting major languages

Answer: (B)

Azure Computer Vision enables language recognition for text by adapting models to specified languages. This capability allows the service to accurately recognize and process text in different languages, making it versatile and effective for applications that require understanding of various languages in images or documents. By tailoring its models to specific languages, Azure can enhance its text recognition performance, providing more accurate results and improving the overall user experience.

Limiting to one language per request would restrict the flexibility and utility of the service, making it less effective in multilingual contexts. Requiring translation services would add unnecessary complexity and may hinder the seamless extraction of text information. Supporting only major languages would limit the applicability for users who may need to work with less common languages, thereby reducing the effectiveness of the service in global applications. Thus, the ability to adapt models to specified languages underscores Azure Computer Vision's robust language recognition capabilities.