Regression with Phrase Indicators for Estimating MT Quality

Chunyang Wu, Hai Zhao · 2012

We in this paper describe the regression system for our participation in the quality estimation task of WMT12. This paper focuses on exploiting special phrases, or word sequences, to estimate translation quality. Several feature templates on this topic are put forward subsequently. We train a SVM regression model for predicting the scores and numerical results show the effectiveness of our phrase indicators and method in both ranking and scoring tasks. 1

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