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Partial Least Squares for Word Confidence Estimation in Machine Translation. 6th Iberian Conference on Pattern Recognition and Image Analysis, (IbPRIA) LNCS 7887, 2013. pp. 500-508. Springer. CWe present a new technique to estimate the reliability of the words in automatically generated translations. Our approach addresses confidence estimation as a classification problem where a confidence score is to be predicted from a feature vector that represents each translated word. We describe a new set of prediction features designed to capture context information, and propose a model based on partial least squares to perform the classification. Good empirical results are reported in a large-domain news translation task.