Title
Improve syntax-based translation using deep syntactic structures
Abstract
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the deep syntactic structures of a sentence, which include not only a fine-grained syntactic property description but also a semantic representation. Considering the abundant information included in the deep syntactic structures, it is interesting to investigate whether or not they improve the traditional syntax-based translation models based on PCFG parsers. In order to use deep syntactic structures for SMT, this paper focuses on extracting tree-to-string translation rules from aligned HPSG tree---string pairs. The major challenge is to properly localize the non-local relations among nodes in an HPSG tree. To localize the semantic dependencies among words and phrases, which can be inherently non-local, a minimum covering tree is defined by taking a predicate word and its lexical/phrasal arguments as the frontier nodes. Starting from this definition, a linear-time algorithm is proposed to extract translation rules through one-time traversal of the leaf nodes in an HPSG tree. Extensive experiments on a tree-to-string translation system testified the effectiveness of our proposal.
Year
DOI
Venue
2010
10.1007/s10590-010-9081-6
Machine Translation
Keywords
Field
DocType
tree-to-string translation rule,translation rule,traditional syntax-based translation model,fine-grained syntactic property description,semantic representation,tree-to-string translation system,non-local relation,typed feature structures · predicate-argument structures · head-driven phrase structure grammar · syntax-based translation,deep syntactic structure,semantic dependency,hpsg tree
Rule-based machine translation,Head-driven phrase structure grammar,Tree traversal,Syntactic predicate,Computer science,Machine translation,Abstract syntax tree,Natural language processing,Artificial intelligence,Parsing,Linguistics,Syntax
Journal
Volume
Issue
ISSN
24
2
1573-0573
Citations 
PageRank 
References 
0
0.34
28
Authors
3
Name
Order
Citations
PageRank
Xianchao Wu1646.62
Takuya Matsuzaki274042.47
Jun'ichi Tsujii33610232.96