Neural Mechanical Translation to Improve Google Translate

Improved Google Translate is coming: Google's Neural Machine Translation system "outperforms" the results of all other solutions translation solutions available today.

Google has announced a Neural Machine Translation (NMT) system that, according to the company, will reduce Google Translate translation errors by between 55 and 85%. The project development team and scientists cite the new technology as an "important milestone".Google Translate

The Google Translate service was announced by 10 years ago by Google Brain Quoc Le researchers and Mike Schuster.

“Ten years ago, we announced the launch of Google Translate, in combination with the use of Phrase Translation as the basic algorithm for this service. Today, we announce the Google Neural Machine Translation (GNMT), which uses state-of-the-art training techniques to achieve the greatest improvements in the quality of mechanical translation, ”the researchers said.

google-neura-machine-translation-system

Unlike the system used to date to translate mechanical translation phrases (PBMT) (translation of words and phrases, regardless of how they exist in a sentence with known results of incorrect translations), neural automatic translation examines the entire sentence before translating it.

Researchers over the past few years have been trying to improve neural machine translation technology to work better on large ensembles. , while maintaining better speed and accuracy.

So in anticipation of a new better translation service from Google, which does not stop offering that make our lives easier.

iGuRu.gr The Best Technology Site in Greecefgns

every publication, directly to your inbox

Join the 2.087 registrants.

Written by giorgos

George still wonders what he's doing here ...

Leave a reply

Your email address is not published. Required fields are mentioned with *

Your message will not be published if:
1. Contains insulting, defamatory, racist, offensive or inappropriate comments.
2. Causes harm to minors.
3. It interferes with the privacy and individual and social rights of other users.
4. Advertises products or services or websites.
5. Contains personal information (address, phone, etc.).