Effective Approaches to Attention-based Neural Machine Translation
At a glance
Improved translation by helping models focus on relevant parts of the source sentence.
In one paragraph
Develops global and local attention methods that help a translation model focus on relevant parts of the source sentence as it generates each word. These approaches improved English–German translation and helped establish attention as a practical tool for neural translation.
