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ICML
2005
IEEE
16 years 2 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
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 ...
EMNLP
2004
15 years 2 months ago
Dependencies vs. Constituents for Tree-Based Alignment
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...
Daniel Gildea
ACL
2009
14 years 11 months ago
Efficient Minimum Error Rate Training and Minimum Bayes-Risk Decoding for Translation Hypergraphs and Lattices
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...
ACL
2012
13 years 3 months ago
Discriminative Strategies to Integrate Multiword Expression Recognition and Parsing
The integration of multiword expressions in a parsing procedure has been shown to improve accuracy in an artificial context where such expressions have been perfectly pre-identiļ...
Matthieu Constant, Anthony Sigogne, Patrick Watrin
ANLP
1992
68views more  ANLP 1992»
15 years 2 months ago
Evaluating Parsing Strategies Using Standardized Parse Files
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...
Ralph Grishman, Catherine Macleod, John Sterling