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Found 5 papers, 1 papers with code
Papago’s Submissions to the WMT21 Triangular Translation Task
The provided parallel data are Russian-Chinese (direct), Russian-English (indirect), and English-Chinese (indirect) data.
Fluctuation-dissipation Type Theorem in Stochastic Linear Learning
The fluctuation-dissipation theorem (FDT) is a simple yet powerful consequence of the first-order differential equation governing the dynamics of systems subject simultaneously to dissipative and stochastic forces.
Efficient Neural Machine Translation with Prior Word Alignment
In this paper, we propose a novel method that infuses prior word alignment information into neural machine translation (NMT) to provide hints or guidelines for the target sentence at running time.
Korean-to-Chinese Machine Translation using Chinese Character as Pivot Clue
Korean-Chinese is a low resource language pair, but Korean and Chinese have a lot in common in terms of vocabulary.
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