BriefGPT.xyz
Jun, 2016
机器翻译质量评估中的预测不确定性探讨
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
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Daniel Beck, Lucia Specia, Trevor Cohn
TL;DR
探索概率方法来提高机器翻译质量评估，提供良好的置信度估计，并通过全后验预测分布进行评估。还展示了在不对称风险的情况下如何利用后验信息，从而捕捉翻译工作流程中的典型情况。
Abstract
machine translation quality
estimation
is a notoriously difficult task, which lessens its usefulness in real-world translation environments. Such scenarios can be improved if quality predictions are accompanied b
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