Machine learning is offering businesses a new opportunity to translate documents. They can use machine learning to translate marketing materials and other literature. However, these AI solutions may not always be the best. Towards Data Science has discussed this development. The term is called neural machine translation.

Every day we use different technologies without even knowing how exactly they work. In fact, it's not very easy to understand engines powered by machine learning. The Statsbot team wants to make machine learning clear by telling data stories in this blog. Today, we've decided to explore machine translators and explain how the Google Translate algorithm works. Years ago, it was very time consuming to translate the text from an unknown language.

Now, we don't need to struggle so much– we can translate phrases, sentences, and even large texts just by putting them in Google Translate. This post is for those who do care. If the Google Translate engine tried to kept the translations for even short sentences, it wouldn't work because of the huge number of possible variations. The best idea can be to teach the computer sets of grammar rules and translate the sentences according to them. If only it were as easy as it sounds.