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Simpson's Paradox and the Accuracy-Fluency Tradeoff in Translation
On one hand, intuition and some prior work suggest that accuracy and fluency should trade off against each other, and that capturing every detail of the source can only be achieved at the cost of fluency.
Predicting Human Translation Difficulty with Neural Machine Translation
Human translators linger on some words and phrases more than others, and predicting this variation is a step towards explaining the underlying cognitive processes.
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