Efficient Recognition Algorithms for Parallel Multiple Context-Free Languages and for Multiple Context-Free Languages

概要

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Parallel multiple context-free grammar (PM-CFG) and multiple context-free grammar (MCFG) were introduced to denote the syntax of natural languages. By the known fastest algorithm, the recognition problem for multiple context-free language (MCFL) and parallel multiple context-free language (PMCFL) can be solved in O (n^e) time and O (n^<e+1>) time, respectively, where e is a constant which depends only on a given MCFG or PMCFG. In this paper, we propose the following two algorithms. (1) An algorithm which reduces the recognition problem for MCFL to the boolean matrices multiplication problem. (2) An algorithm which reduces the recognition problem for PMCFL to the recognition problem for MCFL. The time complexity of these algorithms is O (n^<e'-3i'+1>・M (n^i')) where e'and i'are constants which depend only on a given MCFG or PMCFG, and M (k) is the time needed for multiplying two k×k boolean matrices. The proposed algorithms are faster than the known fastest algorithms unless e'=e, i'=1 for MCFG, and e'=e, i'=0 for PMCFG.
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1998-11-25