We propose novel methods for integrating prosody in syntax using generative models. By adopting a grammar whose constituents have latent annotations, the influence of prosody on syntax can be learned from data. In one method, prosody is utilized to …
We study unsupervised methods for learning refinements of the nonterminals in a treebank. Following Matsuzaki et al. (2005) and Prescher (2005), we may for example split NP without supervision into NP[0] and NP[1], which behave differently. We first …
We describe our entry in the CoNLL-X shared task. The system consists of three phases: a probabilistic vine parser (Eisner and N. Smith, 2005) that produces unlabeled dependency trees, a probabilistic relation-labeling model, and a discriminative …
Designers of SMT system have begun to experiment with tree-structured translation models. Unfortunately, SMT systems driven by such models are even more difficult to build than the already complicated WFST-based systems. The purpose of our workshop …