Issue #117 – Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
11 Feb21
Issue #117 – Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
Author: Dr. Jingyi Han, Machine Translation Scientist @ Iconic
Introduction
Nowadays, zero-shot machine translation is receiving more and more attention due to the expensive cost of building new engines for different language directions. The underlying principle of this strategy is to build a single model that can learn to translate between different language pairs without involving direct training for such combinations. Following the first zero-shot approach proposed by Firat et al. (2016), several recent studies (Johnson et al., 2017; Gu et al., 2019; Zhang et al., 2020 and Arivazhagan et al.,