Terminology in neural machine translation: a case study of the canadian hansard

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Author	Search for: Knowles, Rebecca¹; Search for: Larkin, Samuel¹; Search for: Tessier, Marc¹; Search for: Simard, Michel¹
Affiliation	National Research Council of Canada. Digital Technologies
Format	Text, Article
Conference	24th Annual Conference of the European Association for Machine Translation (EAMT 2023), June 12-15, 2023, Tampere, Finland
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.
Publication date	2023-06-12
Publisher	European Association for Machine Translation
Licence	Creative Commons, Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) https://creativecommons.org/licenses/by-nd/4.0/deed.en
In	Proceedings of the 24th Annual Conference of the European Association for Machine Translation (12 June 2023): 481–488.
Language	English
Peer reviewed	Yes
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Record identifier	808208ca-bd58-408b-b0d5-6b02f385979e
Record created	2023-09-08
Record modified	2023-09-18