Smoothing methods for the treatment of digital texts

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Ruben Dorado

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ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA

This article describes the exploration task known as smoothing for statistical language representation. It also reviews some of the state- of-the-art methods that improve the representation of language in a statistical way. Specifically, these reported methods improve statistical models known as N-gram models. This paper also shows a method to measure models in order to compare them.

 

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