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NAACL
2010
14 years 8 months ago
Bayesian Inference for Finite-State Transducers
We describe a Bayesian inference algorithm that can be used to train any cascade of weighted finite-state transducers on end-toend data. We also investigate the problem of automat...
David Chiang, Jonathan Graehl, Kevin Knight, Adam ...
NAACL
2010
14 years 8 months ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
SOFSEM
2010
Springer
14 years 8 months ago
Forcing Monotonicity in Parameterized Verification: From Multisets to Words
We present a tutorial on verification of safety properties for parameterized systems. Such a system consists of an arbitrary number of processes; the aim is to prove correctness of...
Parosh Aziz Abdulla
COLING
2010
14 years 5 months ago
EMDC: A Semi-supervised Approach for Word Alignment
This paper proposes a novel semisupervised word alignment technique called EMDC that integrates discriminative and generative methods. A discriminative aligner is used to find hig...
Qin Gao, Francisco Guzmán, Stephan Vogel
COLING
2010
14 years 5 months ago
Fast, Greedy Model Minimization for Unsupervised Tagging
Model minimization has been shown to work well for the task of unsupervised part-of-speech tagging with a dictionary. In (Ravi and Knight, 2009), the authors invoke an integer pro...
Sujith Ravi, Ashish Vaswani, Kevin Knight, David C...