Paper: Fine-Grained Tree-to-String Translation Rule Extraction

ACL ID P10-1034
Title Fine-Grained Tree-to-String Translation Rule Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2010

Tree-to-string translation rules are widely used in linguistically syntax-based statis- tical machine translation systems. In this paper, we propose to use deep syntac- tic 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 sys- tems. Extensive experiments on large- scalebidirectionalJapanese-Englishtrans- lationstestifiedtheeffectivenessofourap- proach.