Issue #125 – Synchronous Bidirectional Neural MT
08 Apr21
Issue #125 – Synchronous Bidirectional Neural MT
Author: Akshai Ramesh, Machine Translation Scientist @ Iconic
Introduction
In recent years, Neural machine translation (NMT) based on the encoder-decoder architecture has significantly improved the quality of machine translation. Despite their remarkable performance, NMT models have a number of flaws (Koehn and Knowles, 2017), one of which is the issue of unbalanced outputs in translation. Current neural machine translation (NMT) approaches produce the target language sequence token-by-token from left to right that results in the prefixes being translated better than the suffixes in a segment (Liu et al., 2016).
In today’s blog post, we will look at the work of Zhou et al., 2019 who propose a new approach, called Synchronous