Which programming languages are mainly associated with Azure NLP services?

The association of C#, Python, Java, and JavaScript with Azure NLP services is grounded in their extensive use in the development of AI applications, including natural language processing. These languages offer robust libraries and frameworks that facilitate interaction with Azure's services, enabling developers to build, train, and deploy machine learning models effectively.

C# is particularly prominent in Azure environments, as it integrates seamlessly with Microsoft's cloud platform, allowing developers to leverage .NET for building applications. Python is widely used in the data science community due to its simplicity and the vast number of libraries available for machine learning and NLP, such as TensorFlow, PyTorch, and SpaCy. Java offers a strong backbone for enterprise-level applications, making it a preferred choice for large-scale implementations. JavaScript, especially with the advent of frameworks like Node.js, has become vital for building web applications that can consume AI services through APIs.

The other options contain languages that are less commonly associated with Azure's NLP services. HTML, CSS, PHP, Ruby, Swift, Kotlin, Go, Rust, Visual Basic, Perl, SQL, and Scala may serve specific purposes, such as web development or database management, but do not have the same level of integration or support within the Azure ecosystem for building NLP applications