Análisis sintáctico ascendente con un algoritmo evolutivo

Abstract

Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases exponentially with the length of the sentence or text to be parsed and the size of the grammar, so that exhaustive search methods can fail to reach a solution in a reasonable time. Nevertheless, large problems can be solved approximately by some kind of stochastic techniques, which do not guarantee the optimum value, but allow adjusting the probability of error by increasing the number of points explored. This paper presents the implementation of a stochastic parser based on a genetic algorithm. This algorithm produces successive generations of individuals, which are partial parses of a sentence. Genetic operators combine individuals to produce longer parses. The model has been implemented, and the results obtained for a number of sentences extracted form the Susanne corpus are presented.