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NAACL
2010
13 years 5 months ago
Training Paradigms for Correcting Errors in Grammar and Usage
This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...
Alla Rozovskaya, Dan Roth
ICGI
1994
Springer
13 years 11 months ago
Inducing Probabilistic Grammars by Bayesian Model Merging
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
Andreas Stolcke, Stephen M. Omohundro
SAC
2008
ACM
13 years 6 months ago
IELR(1): practical LR(1) parser tables for non-LR(1) grammars with conflict resolution
There has been a recent effort in the literature to reconsider grammar-dependent software development from an engineering point of view. As part of that effort, we examine a defic...
Joel E. Denny, Brian A. Malloy