Better Filtration and Augmentation for Hierarchical Phrase-Based Translation Rules
Zhiyang Wang, Yajuan Lv, Qun Liu, Young-Sook Hwang · 2010
This paper presents a novel filtration criterion to restrict the rule extraction for the hierarchical phrase-based translation model, where a bilingual but relaxed wellformed dependency restriction is used to filter out bad rules. Furthermore, a new feature which describes the regularity that the source/target dependency edge triggers the target/source word is also proposed. Experimental results show that, the new criteria weeds out about 40 % rules while with translation performance improvement, and the new feature brings another improvement to the baseline system, especially on larger corpus. 1