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• W2040781285 abstract "Translation model size is growing at a pace that outstrips improvements in computing power, and this hinders research on many interesting models. We show how an algorithmic scaling technique can be used to easily handle very large models. Using this technique, we explore several large model variants and show an improvement 1.4 BLEU on the NIST 2006 Chinese-English task. This opens the door for work on a variety of models that are much less constrained by computational limitations." @default.
• W2040781285 created "2016-06-24" @default.
• W2040781285 creator A5072223342 @default.
• W2040781285 date "2008-01-01" @default.
• W2040781285 modified "2023-10-07" @default.
• W2040781285 title "Tera-scale translation models via pattern matching" @default.
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• W2040781285 doi "https://doi.org/10.3115/1599081.1599145" @default.
• W2040781285 hasPublicationYear "2008" @default.
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