期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：We propose a novel technique of learning how to
transform the source parse trees to improve the translation
qualities of syntax-based translation models
using synchronous context-free grammars. We
transform the source tree phrasal structure into a
set of simpler structures, expose such decisions to
the decoding process, and find the least expensive
transformation operation to better model word reordering.
In particular, we integrate synchronous binarizations,
verb regrouping, removal of redundant
parse nodes, and incorporate a few important features
such as translation boundaries. We learn the
structural preferences from the data in a generative
framework. The syntax-based translation system integrating
the proposed techniques outperforms the
best Arabic-English unconstrained system in NIST-
08 evaluations by 1.3 absolute BLEU, which is statistically
significant.
