Paper: Joint Parsing and Alignment with Weakly Synchronized Grammars

ACL ID N10-1015
Title Joint Parsing and Alignment with Weakly Synchronized Grammars
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

Syntactic machine translation systems extract rules from bilingual, word-aligned, syntacti- cally parsed text, but current systems for pars- ing and word alignment are at best cascaded and at worst totally independent of one an- other. This work presents a unified joint model for simultaneous parsing and word alignment. To flexibly model syntactic divergence, we de- velop a discriminative log-linear model over two parse trees and an ITG derivation which is encouraged but not forced to synchronize with the parses. Our model gives absolute improvements of 3.3 F1 for English pars- ing, 2.1 F1 for Chinese parsing, and 5.5 F1 for word alignment over each task’s indepen- dent baseline, giving the best reported results for both Chinese-English word alignment and joint parsing on the parallel po...