Matrix multiplication via arithmetic progressions
Journal of Symbolic Computation - Special issue on computational algebraic complexity
An efficient probabilistic context-free parsing algorithm that computes prefix probabilities
Computational Linguistics
Computation of the probability of initial substring generation by stochastic context-free grammars
Computational Linguistics
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
Inside-outside reestimation from partially bracketed corpora
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Estimation of stochastic context-free grammars and their use as language models
Computer Speech and Language
General context-free recognition in less than cubic time
Journal of Computer and System Sciences
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This paper proposes an approach to reduce the stochastic parsing time with stochastic context-free grammars. The basic idea consists of storing a set of precomputed problems. These precomputed problems are obtained off line from a training corpus or they are computed on line from a test corpus. In this work, experiments with the UPenn Treebank are reported in order to show the performance of both alternatives.