期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2010
卷号：2010
出版社：ACL Anthology
摘要：Source language parse trees offer very useful
but imperfect reordering constraints for statistical
machine translation. A lot of effort has
been made for soft applications of syntactic
constraints. We alternatively propose the selective
use of syntactic constraints. A classifier
is built automatically to decide whether a node
in the parse trees should be used as a reordering
constraint or not. Using this information
yields a 0.8 BLEU point improvement over a
full constraint-based system.
