Paper: Parser Adaptation and Projection with Quasi-Synchronous Grammar Features

ACL ID D09-1086
Title Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

We connect two scenarios in structured learning: adapting a parser trained on onecorpustoanotherannotationstyle, and projecting syntactic annotations from one language to another. We propose quasi- synchronous grammar (QG) features for these structured learning tasks. That is, we score a aligned pair of source and target trees based on local features of the trees and the alignment. Our quasi-synchronous model assigns positive probability to any alignmentofanytrees, incontrasttoasyn- chronous grammar, which would insist on some form of structural parallelism. In monolingual dependency parser adap- tation, we achieve high accuracy in trans- lating among multiple annotation styles for the same sentence. On the more difficult problem of cross-lingual parser projection, we learn a dependency pa...