Titulo:
Smoothing methods for the treatment of digital texts
.
Sumario:
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.
Guardado en:
2382-3399
2745-2220
2
2015-10-30
42
56
Revista Ontare - 2016
info:eu-repo/semantics/openAccess
http://purl.org/coar/access_right/c_abf2
