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：Tree-to-string translation rules are widely
used in linguistically syntax-based statistical
machine translation systems. In this
paper, we propose to use deep syntactic
information for obtaining fine-grained
translation rules. A head-driven phrase
structure grammar (HPSG) parser is used
to obtain the deep syntactic information,
which includes a fine-grained description
of the syntactic property and a semantic
representation of a sentence. We extract
fine-grained rules from aligned HPSG
tree/forest-string pairs and use them in
our tree-to-string and string-to-tree systems.
Extensive experiments on largescale
bidirectional Japanese-English translations
testified the effectiveness of our approach.
