Fortunately, neural networks eat big, complicated data sets for breakfast. Google has been working on a machine learning translation technique for years, and today is its official debut.

You and Q. Liu: “Bridging the Gap between Training and Inference for Neural Machine Translation,” Proc. 57th Annual Meeting of the Association for Computational Linguistics, pp.4334–4343 (2019).

A project will apply neural machine translation to Spanish, Portuguese, Catalan, Galician, Asturian, Aragonese and Aranese Universitat Oberta de Catalunya (UOC) ...

Compared to traditional statistical machine translation (SMT), such as phrase-based machine translation (PBMT), neural machine translation (NMT) often sacrifices adequacy for the sake of fluency. We ...

Google Translate Has Reached Human-Like Accuracy Thanks To Neural Machine Translation Engine by Paul Lilly — Wednesday, September 28, 2016, 11:15 AM EDT Comments ...

Now, thanks to advances in artificial intelligence and machine translation, these barriers are being broken down. Written by Eileen Brown, Contributor Nov. 24, 2016, 5:49 a.m. PT ...

Attention is a neural network structure that you’ll hear about all over the place in machine learning these days. In fact, the title of the 2017 paper that introduced Transformers wasn’t ...

With machine translation, however, things are a bit different. The source text can be translated by different engines, all of which differ in terms of quality and accuracy.