Weakly supervised approaches for quality estimation

Authors:
Erwan Moreau;Carl Vogel
Affiliations:
CNGL and Computational Linguistics Group, Centre for Computing and Language Studies, School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland;Computational Linguistics Group, Centre for Computing and Language Studies, School of Computer Science and Statistics, Trinity College Dublin, Dublin 2, Ireland
Venue:
Machine Translation
Year:
2013

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Abstract

Currently, quality estimation (QE) is mostly addressed using supervised learning approaches. In this paper we show that unsupervised and weakly supervised approaches (using a small training set) perform almost as well as supervised ones, for a significantly lower cost. More generally, we study the various possible definitions, parameters, evaluation methods and approaches for QE, in order to show that there are multiple possible configurations for this task.