Dependency Forest for Statistical Machine Translation
Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, Shouxun Lin · International Conference on Computational Linguistics · 2010
We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms for extracting string-to-dependency rules and training dependency language models. Our forest-based string-to-dependency system obtains significant improvements ranging from 1.36 to 1.46 BLEU points over the tree-based baseline on the NIST 2004/2005/2006 Chinese-English test sets.