How to translate machine learning?

1. How does machine learning translation work?
2. What are the 4 types of machine translation?
3. How machine learning is used in Google Translate?

How does machine learning translation work?

The machine learning algorithms analyze large amounts of human translations that already exist and look for statistical patterns. The software then makes an intelligent guess when asked to translate a new source text.

What are the 4 types of machine translation?

There are four different types of machine translation in NLP: statistical machine translation, rule-based machine translation, hybrid machine translation, and neural machine translation.

How machine learning is used in Google Translate?

Google Translate's NMT system uses a large artificial neural network capable of deep learning. By using millions of examples, GNMT improves the quality of translation, using broader context to deduce the most relevant translation. The result is then rearranged and adapted to approach grammatically based human language.