Learning deterministic context free grammars: The Omphalos competition

This paper describes the winning entry to the Omphalos context free grammar learning competition. Our approach integrates an information theoretic constituent likelihood measure together with more traditional heuristics based on substitutability and frequency. The competition is discussed from the perspective of a competitor. We discuss a class of deterministic grammars, the Non-terminally Separated (NTS) grammars, that have a property relied on by our algorithm, and consider the possibilities of extending the algorithm to larger classes.

• Type: Journal
• Year: 2007
• Where: ML
• Authors: Alexander Clark
• Keywords: Free Grammar, Grammars, Information Theoretic Constituent, Machine Learning, ML 2007