Issue #55 – Word Alignment from Neural Machine Translation

Word alignments were the cornerstone of all previous approaches to statistical MT. You take your parallel corpus, align the words, and build from there. In Neural MT however, word alignment is no longer needed as an input of the system. That being said, research is coming back around to the idea that it remains useful in real-world practical scenarios for tasks such as replacing tags in MT output.

Read more from here