Google Introduces Huge Universal Language Translation Model: 103 Languages Trained on Over 25 Billion Examples | Synced
Synced invited Graham Neubig, an Assistant Professor from Carnegie Mellon University to share his thoughts on Google’s universal neural machine translation (NMT) system trained on over 25 bil...
Source: Synced | AI Technology & Industry Review
Synced invited Graham Neubig, an Assistant Professor from Carnegie Mellon University to share his thoughts on Google’s universal neural machine translation (NMT) system trained on over 25 billion examples that can handle 103 languages proposed.