A Fast Algorithm for Computing Prefix Probabilities
arXiv:2306.02303 · doi:10.18653/v1/2023.acl-short.6
Abstract
Multiple algorithms are known for efficiently calculating the prefix probability of a string under a probabilistic context-free grammar (PCFG). Good algorithms for the problem have a runtime cubic in the length of the input string. However, some proposed algorithms are suboptimal with respect to the size of the grammar. This paper proposes a novel speed-up of Jelinek and Lafferty's (1991) algorithm, whose original runtime is , where is the input length and is the number of non-terminals in the grammar. In contrast, our speed-up runs in .
Corrected typos, changed the layout of the algorithms, and improved appendix B on the semiring version of the algorithm