How does neural network translation work?

Can you explain how neural networks are used for translation?

Sure! Neural networks, especially recurrent neural networks (RNNs) and transformers, are used to translate text by learning patterns in language data.

What makes neural networks better than traditional translation methods?

Neural networks can capture context and nuances in language better than traditional methods, leading to more accurate translations.

How do they handle different languages?

They are trained on large datasets containing multiple languages, allowing them to learn the relationships and structures of each language.

Are there any limitations to neural network translation?

Yes, they can struggle with idiomatic expressions and may require significant computational resources for training.