Título: Unsupervised Spelling Correction for Slovak
Autores: Hladek, Daniel; Department of Electronics and Multimedia Communications Faculty of Electrical Engineering Technical University of Kosice Park Komenskeho 13 042 00 Kosice Slovak Republic
Stas, Jan
Juhar, Jozef
Fecha: 2013-11-19
Publicador: Advances in Electrical and Electronic Engineering
Fuente:
Tipo:

Tema: Automatic spelling correction; hidden Markov model; natural language processing.
Descripción: This paper introduces a method to automatically propose and choose a correction for an incorrectly written word in a large text corpus written in Slovak. This task can be described as a process of finding the best matching sequence of correct words to a list of incorrectly spelled words, found in the input. Knowledge base of the classification system - statistics about sequences of correctly typed words and possible corrections for incorrectly typed words can be mathematically described as a hidden Markov model. The best matching sequence of correct words is found using Viterbi algorithm. The system will be evaluated on a manually corrected testing set.
Idioma: Inglés

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