Highlights from Machine Translation and Multilinguality in February 2024
With a new month, here are a few papers that I noticed on arXiv in February. Linear-time Minimum Bayes Risk Decoding with Reference Aggregation A preprint from the University of Zurich proposes a linear time version of Minimum Bayes Risk (MBR) decoding in machine translation. This decoding algorithm does not aim to generate the most probable sequence given the model but the most typical one. This is typically done by sampling dozens of candidate output sentences, from which we select […]
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