Issue #55 – Word Alignment from Neural Machine Translation
10 Oct19 Issue #55 – Word Alignment from Neural Machine Translation Author: Dr. Patrik Lambert, Machine Translation Scientist @ Iconic 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 […]
Read more