@inproceedings{knowles-etal-2025-mslc25,
title = "{MSLC}25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants",
author = "Knowles, Rebecca and
Larkin, Samuel and
Lo, Chi-Kiu",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Tenth Conference on Machine Translation",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.69/",
pages = "945--956",
ISBN = "979-8-89176-341-8",
abstract = "In this challenge set, we examine how automatic metrics for machine translation perform on a wide variety of machine translation output, covering a wider range of quality than the WMT submissions. We also explore metric results on specific types of corner cases, such as empty strings, wrong- or mixed-language text, and more. We primarily focus on Japanese{--}Chinese data, with some work on English and Czech."
}Markdown (Informal)
[MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants](https://preview.aclanthology.org/ingest-emnlp/2025.wmt-1.69/) (Knowles et al., WMT 2025)
ACL