Doc3 MT Engine

Doc³ NMT

Neural Machine Translation (NMT) is a flexible Machine Translation solution that was first introduced to professional translators around 2015.

By using machine translated text proposals, you will not have to type and type and type. Instead, AI solutions will serve you with text that fairly match what your translation should look like. Instead of typing your translation from scratch, you can instead take over the machine proposal, edit it and check the result carefully before proceeding. This is a great way to produce more translated text in less time.

Doc3 MT Engine ™

Neural Machine Translation (NMT) is a flexible Machine Translation solution based on artificial intelligence (AI) that was first introduced to the professional translators community around 2015.

The Doc3 MT Engine will save you a lot of unnecessary typing. The AI will serve you with text that fairly match what your translation should look like.

Instead of typing your translation from scratch, you can instead take over the machine proposal, edit it and check the result carefully before proceeding. This is a great way to produce more translated text in less time.

With good machine translation proposals, you can produce 4 or 5 times as much translation compared to manually translating everything in your head and entering it in your document.

Additionally, “Neural” makes the machine translation effort much more natural in terms of grammar and fluent language. Neural machine translated content can be surprisingly good, but also surprisingly poor. Everything depends on the context and the style or quality of the original document.

Over many years, we have developed a text corpus for the main 20+ European language. It is focused on technical documentation. This corpus is not in the public domain, it has not been complemented with any content from the public domain, and as such it is completely impartial.

As long as the text you need to translate is not prose or extremely creative, the Doc3 MT Engine can help you “type faster” and produce a lot more translation in less time for only a few bucks a month.