r/MachineLearning - [Project] Multilingual Neural Machine Translation using Transformers with Conditional Normalization.

The goal here is similar, make the rest of the network learn a common representation, while making the normalization parameters learn language specific semantics. The One-to-Many and Many-to-One models are trained for English to French, German, Italian and Spanish Translation and Vice Versa. The Many to Many model is trained on English-French, French-English, English-German and German-English. The image stylization paper specifies how a N-style network can pick up an N 1th style through fine-tuning an existing model. Similarly, I fine-tune my Many-to-Many model to pick up Portuguese.