How does machine translation work in NLP?

How does machine translation work in NLP?

Machine translation uses algorithms to convert text from one language to another, leveraging NLP techniques.

What are the main types of machine translation?

The main types are rule-based, statistical, and neural machine translation, each with its own approach.

Can you explain neural machine translation?

Neural machine translation uses deep learning models to predict translations, improving fluency and context understanding.

What are the challenges in machine translation?

Challenges include handling idioms, context, and maintaining the original meaning across languages.

How accurate is machine translation compared to human translation?

While machine translation has improved significantly, human translation often provides better accuracy and nuance.