Transformers are a type of neural network architecture that was first developed by Google in its DeepMind laboratories. The ...

Abstract: Pretrained models have taken full advantage of monolingual corpora and achieved impressive results in training Unsupervised Neural Machine Translation (UNMT) models. However, when adapting ...

Abstract: The main challenge in the field of unsupervised machine translation (UMT) is to associate source-target sentences in the latent space. As people who speak different languages share ...

Data Preparation: Convert words to index prior to one-hot encoding for training, validation and test sets. Training: Train the NMT architecture. Decoding/Testing: Realize the beam search to translate ...