MSLC24 submissions to the General Machine Translation task

From National Research Council Canada

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Author	Search for: Larkin, Samuel¹ORCID identifier: https://orcid.org/0009-0000-6147-9631; Search for: Lo, Chi-Kiu¹ORCID identifier: https://orcid.org/0000-0001-8714-7846; Search for: Knowles, Rebecca¹ORCID identifier: https://orcid.org/0000-0002-1647-584X
Affiliation	National Research Council Canada. Digital Technologies
Format	Text, Article
Conference	Ninth Conference on Machine Translation (WMT24), November 15-16, 2024, Miami, Florida, United States
Abstract	The MSLC (Metric Score Landscape Challenge) submissions for English–German, English–Spanish, and Japanese–Chinese are constrained systems built using Transformer models for the purpose of better evaluating metric performance in the WMT24 Metrics Task. They are intended to be representative of the performance of systems that can be built relatively simply using constrained data and with minimal modifications to the translation training pipeline.
Publication date	2024-11
Publisher	Association for Computational Linguistics
Licence	Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
In	Proceedings of the Ninth Conference on Machine Translation (November 2024): 139–146.
Language	English
Peer reviewed	Yes
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Record identifier	c9a89338-162b-4538-8240-284980e20170
Record created	2024-11-14
Record modified	2024-11-18

Date modified:: 2026-01-24