We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
Given a parallel parsed corpus, statistical treeto-tree alignment attempts to match nodes in the syntactic trees for a given sentence in two languages. We train a probabilistic tr...
Minimum Error Rate Training (MERT) and Minimum Bayes-Risk (MBR) decoding are used in most current state-of-theart Statistical Machine Translation (SMT) systems. The algorithms wer...
Shankar Kumar, Wolfgang Macherey, Chris Dyer, Fran...
The integration of multiword expressions in a parsing procedure has been shown to improve accuracy in an artiļ¬cial context where such expressions have been perfectly pre-identiļ...
Matthieu Constant, Anthony Sigogne, Patrick Watrin
The availability of large files of manuallyreviewed parse trees from the University of Pennsylvania "tree bank", along with a program for comparing system-generated pars...