Greedy decoding – example of how a trained NMT model produces a translation for a source sentence "Je suis étudiant" using greedy search. Step 3 is what makes inference different from training.

The NMT model is designed to translate text from one language to another, specifically from English to French. With the growing popularity of deep learning in the early 2010s, it became evident that ...

Abstract: Existing neural machine translation (NMT) systems utilize sequence-to-sequence neural networks to generate target translation word by word, and then make the generated word at each time-step ...

For example, the authors demonstrate how a given German sentence, the state-of-the-art NMT model, Transformer, will yield a correct translation. “Der Sprecher des Untersuchungsausschusses hat ...

Availability of large parallel corpus is the significant driving force for the emergence of neural machine translation (NMT) (Koehn et al., 2003). NMT achieves very promising results on a variety of ...