However, the current dominant research only uses 1-best trees for syntactic realignment (Galley et al., 2006;May and Knight, 2007;Wang et al., 2010), which adversely affects the rule set quality due to parsing errors.
we realign target function words to a packed forest that compactly encodes exponentially many parses.