An Automatic Evaluation of the WMT22 General Machine Translation Task
September 28, 2022 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Benjamin Marie
arXiv ID
2209.14172
Category
cs.CL: Computation & Language
Citations
3
Venue
arXiv.org
Last Checked
5 months ago
Abstract
This report presents an automatic evaluation of the general machine translation task of the Seventh Conference on Machine Translation (WMT22). It evaluates a total of 185 systems for 21 translation directions including high-resource to low-resource language pairs and from closely related to distant languages. This large-scale automatic evaluation highlights some of the current limits of state-of-the-art machine translation systems. It also shows how automatic metrics, namely chrF, BLEU, and COMET, can complement themselves to mitigate their own limits in terms of interpretability and accuracy.
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