Terminology in Neural Machine Translation: A Case Study of the Canadian Hansard

Rebecca Knowles, Samuel Larkin, Marc Tessier, Michel Simard

Abstract: Incorporating terminology into a neural machine translation (NMT) system is a feature of interest for many users of machine translation. In this case study of English-French Canadian Parliamentary text, we examine the performance of standard NMT systems at handling terminology and consider the tradeoffs between potential performance improvements and the efforts required to maintain terminological resources specifically for NMT.