Google Introduces Huge Universal Language Translation Model: 103 Languages Trained on Over 25 Billion Examples
Publication/Creation DateOctober 31 2019
DescriptionNeural machine translation (NMT) is a machine translation approach that utilizes an artificial neural network to predict the likelihood of a sequence of words. With the development of deep learning, NMT is playing a major role in machine translation and has been adopted by Google, Microsoft, IBM and other tech giants. Synced invited Graham Neubig, an Assistant Professor at the Language Technologies Institute of Carnegie Mellon University who works on natural language processing specifically multi-lingual models and natural language interfaces, to share his thoughts on the universal neural machine translation (NMT) system.
Date archivedMay 3 2020
Last editedMay 22 2020