This indicates that parse trees are usually not the optimal choice for training tree-based translation models ( Wang et al. , 2010 ) .
restructuring relabeling and realigning for syntaxbased machine translation
Wei Wang Jonathan May Kevin Knight Daniel Marcu
2 ) Parse trees are actually only used to model and explain the monolingual structure , rather than the bilingual mapping between language pairs . This indicates that parse trees are usually not the optimal choice for training tree-based translation models ( Wang et al. , 2010 ) . Based on the above analysis , we can conclude that the tree structure that is independent from Tree-bank resources and simultaneously considers the bilingual mapping inside the bilingual sentence pairs would be a good choice for building treebased translation models .
This indicates that parse trees are usually not the optimal choice for training tree-based translation models ( @@CITATION ) .