Forest-to-String Statistical Translation Rules
Yang Liu, Yun Huang, Qun Liu, Shouxun Lin · 2007
In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forest-to-string rule is capable of capturing non-syntactic phrase pairs by describing the cor-respondence between multiple parse trees and one string. To integrate these rules into tree-to-string translation models, auxil-iary rules are introduced to provide a gen-eralization level. Experimental results show that, on the NIST 2005 Chinese-English test set, the tree-to-string model augmented with forest-to-string rules achieves a relative im-provement of 4.3 % in terms of BLEU score over the original model which allows tree-to-string rules only. 1