Google Neural Machine Translation. Neural Machine Translation NMT is an end-to-end learning approach for automated translation with the potential to overcome many of the weaknesses of conventional phrase. Posted by Isaac Caswell and Bowen Liang Software Engineers Google Research Advances in machine learning ML have driven improvements to automated translation including the GNMT neural translation model introduced in Translate in 2016 that have enabled great improvements to the quality of translation for over 100 languages.
Even with the new Machine Translation MT platform available in Google today Neural as compared to the previous Statistical one in the previous years the output is not always satisfactory. Today we announce the Google Neural Machine Translation system GNMT which utilizes state-of-the-art training techniques to achieve the largest improvements to date for machine translation quality. This year they launched the tool for Russian Vietnamese and nine Indian languages.
Googles free service instantly translates words phrases and web pages between English and over 100 other languages.
They called their new tool Google Neural Machine Translation GNMT. Google has announced a neural machine translation NMT system that it says will reduce translation errors across its Google Translate service by between 55 percent and 85 percent calling the. The main improvement in the translation systems was achieved with the introduction of Google Neural Machine Translation or GNMT. It is interesting to see whether the language pair of Indonesian-English will be as accurate as others.
