An efficient context-free parsing algorithm
Readings in natural language processing
The Theory of Parsing, Translation, and Compiling
The Theory of Parsing, Translation, and Compiling
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
A study of search methods: the effect of constraint satisfaction and adventurousness
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
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This paper presents an heuristic-based parsang algorithm for general stochastic context-free grammars. The algorithm is basically a top-down parser that combines an extension of the A* search paradigm with a constraint satisfaction procedure Heuristics are used to increase the lakelihood of making a correct choice while constraint satisfaction eliminates states that cannot lead to a solution. Two simple heuristics are introduced ensuring convergence to the solution and guaranteeing the choice of the most probable parsing in case of ambiguous grammars. A comparison of the proposed parser with Earley's algorithm on four different grammars is presented.