Syntactic Features for Evaluation of Machine Translation

  title={Syntactic Features for Evaluation of Machine Translation},
  author={Ding Liu and Daniel Gildea},
Automatic evaluation of machine translation, based on computing n-gram similarity between system output and human reference translations, has revolutionized the development of MT systems. We explore the use of syntactic information, including constituent labels and head-modifier dependencies, in computing similarity between output and reference. Our results show that adding syntactic information to the evaluation metric improves both sentence-level and corpus-level correlation with human… CONTINUE READING
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 199 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 140 extracted citations

199 Citations

Citations per Year
Semantic Scholar estimates that this publication has 199 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…