Paper: Quality Estimation of English-French Machine Translation: A Detailed Study of the Role of Syntax

ACL ID C14-1194
Title Quality Estimation of English-French Machine Translation: A Detailed Study of the Role of Syntax
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

We investigate the usefulness of syntactic knowledge in estimating the quality of English-French translations. We find that dependency and constituency tree kernels perform well but the error rate can be further reduced when these are combined with hand-crafted syntactic features. Both types of syntactic features provide information which is complementary to tried-and-tested non- syntactic features. We then compare source and target syntax and find that the use of parse trees of machine translated sentences does not affect the performance of quality estimation nor does the intrinsic accuracy of the parser itself. However, the relatively flat structure of the French Treebank does appear to have an adverse effect, and this is significantly improved by simple transformations of the French tre...