x comet : Transparent Machine Translation Evaluation through Fine-grained Error Detection
Widely used learned metrics for machine translation evaluation, such as and , estimate the quality of a translation hypothesis by providing a single sentence-level score. As such, they offer little insight into translation errors (e.g., what are the errors and what is their severity). On the other h...
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Veröffentlicht in: | Transactions of the Association for Computational Linguistics 2024-09, Vol.12, p.979-995 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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