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• W3214446457 abstract "Performance of NMT systems has been proven to depend on the quality of the training data. In this paper we explore different open-source tools that can be used to score the quality of translation pairs, with the goal of obtaining clean corpora for training NMT models. We measure the performance of these tools by correlating their scores with human scores, as well as rank models trained on the resulting filtered datasets in terms of their performance on different test sets and MT performance metrics." @default.
• W3214446457 created "2021-11-22" @default.
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• W3214446457 date "2021-08-01" @default.
• W3214446457 modified "2023-09-24" @default.
• W3214446457 title "Selecting the best data filtering method for NMT training" @default.
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