Juan P. Piantanida

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In this paper, we propose a new formulation of the classical Good-Turing estimator for Ò-gram language model. The new approach is based on defining a dynamic model for language production. Instead of assuming a fixed probability distribution of occurrence of an Ò-gram on the whole text, we propose a maximum entropy approximation of a time varying(More)
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