world language professional translation software

Not quite a year later, DeepL, named for the “deep learning” provided by neural machine translation, launched their own service. Over time, Google Translate added features such as iOS and Android apps, but it wasn’t until 2016 that the very nature of its translation changed to neural machine translation, a system that uses an artificial neural network and produces much better results for longer strings of written words.

For the most part, foreign language teachers ignored it or perhaps demonstrated to a class how it wasn’t very accurate by translating a paragraph from one language to another and back again. Google Translate relied on statistical machine translation, in other words, data from bilingual corpora rather than grammatical rules. It was useful for translating single words, the way a bilingual dictionary is, and short sentences or phrases, but not accurate enough to translate longer passages into natural-sounding language. When Google Translate first launched in 2006, the implications for foreign language classrooms seemed small.

But DeepL often mistranslates words and shorter phrases. If you have long passages, DeepL does come up with language that is more natural overall.

World language professional translation software