An efficient context-free parsing algorithm
Communications of the ACM
Introduction to Formal Language Theory
Introduction to Formal Language Theory
Preserving Ambiguities in Generation via Automata Intersection
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Forest-based statistical sentence generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
The language intersection problem for non-recursive context-free grammars
Information and Computation
Computational Linguistics
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We consider the problem of parsing non-recursive context-free grammars, i.e., context-free grammars that generate finite languages. In natural language processing, this problem arises in several areas of application, including natural language generation, speech recognition and machine translation. We present two tabular algorithms for parsing of non-recursive context-free grammars, and show that they perform well in practical settings, despite the fact that this problem is PSPACE-complete.