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MODELS
2009
Springer
13 years 12 months ago
On-the-Fly Construction, Correctness and Completeness of Model Transformations Based on Triple Graph Grammars
Triple graph grammars (TGGs) are a formal and intuitive concept for the specification of model transformations. Their main advantage is an automatic derivation of operational rule...
Hartmut Ehrig, Claudia Ermel, Frank Hermann, Ulrik...
ACL
2006
13 years 8 months ago
Using Machine Learning Techniques to Build a Comma Checker for Basque
In this paper, we describe the research using machine learning techniques to build a comma checker to be integrated in a grammar checker for Basque. After several experiments, and...
Iñaki Alegria, Bertol Arrieta, Arantza D&ia...
ALT
1998
Springer
13 years 11 months ago
Synthesizing Learners Tolerating Computable Noisy Data
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) ...
John Case, Sanjay Jain
JMLR
2010
137views more  JMLR 2010»
13 years 2 months ago
Covariance in Unsupervised Learning of Probabilistic Grammars
Probabilistic grammars offer great flexibility in modeling discrete sequential data like natural language text. Their symbolic component is amenable to inspection by humans, while...
Shay B. Cohen, Noah A. Smith
CEC
2008
IEEE
14 years 1 months ago
Grammatical bias and building blocks in meta-grammar Grammatical Evolution
—This paper describes and tests the utility of a meta Grammar approach to Grammatical Evolution (GE). Rather than employing a fixed grammar as is the case with canonical GE, und...
Erik Hemberg, Michael O'Neill, Anthony Brabazon