Abstract
A sequential classification algorithm (SCA) for stochastic context-free languages is given. The algorithm is an extension of Earley's parsing algorithm for context-free languages. The SCA uses an optimum decision rule and a suboptimal stopping rule. The time bound is proportional ton 3 (n is the length of the string). A parametere* in the SCA allows an easy control over the probability of error. It is shown theoretically and experimentally that a considerable amount of processing time can be saved when using the SCA compared to the time required when using Earley's algorithm.
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This work was supported by the AFOSR Grant 74–2661.
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Persoon, E., Fu, K.S. Sequential classification of strings generated by SCFG's. International Journal of Computer and Information Sciences 4, 205–217 (1975). https://doi.org/10.1007/BF01007759
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DOI: https://doi.org/10.1007/BF01007759