Robotics & Machine Learning Daily News2024,Issue(MAY.17) :95-96.

Findings from University of Mannheim Update Understanding of Machine Translation (Towards Explainable Evaluation Metrics for Machine Translation)

Robotics & Machine Learning Daily News2024,Issue(MAY.17) :95-96.

Findings from University of Mannheim Update Understanding of Machine Translation (Towards Explainable Evaluation Metrics for Machine Translation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Translation is the subject of a report. According to news reporting originating in Mannheim, G ermany, by NewsRx journalists, research stated, “Unlike classical lexical overla p metrics such as BLEU, most current evaluation metrics for machine translation (for example, COMET or BERTScore) are based on black -box large language models. They often achieve strong correlations with human judgments, but recent researc h indicates that the lower -quality classical metrics remain dominant, one of th e potential reasons being that their decision processes are more transparent.”

Key words

Mannheim/Germany/Europe/Emerging Tech nologies/Machine Learning/Machine Translation/University of Mannheim

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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