Issue #108 – Terminology-Constrained Neural Machine Translation at SAP

19 Nov20

Author: Dr. Jingyi Han, Machine Translation Scientist @ Iconic

Introduction

Nowadays, Neural Machine Translation (NMT) has achieved impressive progress for most of the common language pairs, when enough training materials are available. However, the output is still not as promising for many cases of specific domains that are handled daily by the translation industry. How to enable NMT to properly translate terminology has always been a challenge in production scenarios outside of a research setting. We previously discussed NMT terminology constraints in some earlier blog posts (#7, #79, #82). In this post, we will review a paper by Exel et al. (2020) that examines variations of the approach by

 

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