Paper: Machine Translation Quality Estimation Across Domains

ACL ID C14-1040
Title Machine Translation Quality Estimation Across Domains
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

Machine Translation (MT) Quality Estimation (QE) aims to automatically measure the quality of MT system output without reference translations. In spite of the progress achieved in re- cent years, current MT QE systems are not capable of dealing with data coming from different train/test distributions or domains, and scenarios in which training data is scarce. We investigate different multitask learning methods that can cope with such limitations and show that they over- come current state-of-the-art methods in real-world conditions where training and test data come from different domains.