Revue: | Polibits |
Base de datos: | PERIÓDICA |
Número de sistema: | 000368146 |
ISSN: | 1870-9044 |
Autores: | Ahmed, Farag1 Luca, Ernesto William De2 Nürnberger, Andreas1 |
Instituciones: | 1Otto von Guericke University, Institute for Knowledge and Language Engineering, Magdeburgo, Sajonia-Anhalt. Alemania 2Technical University of Berlin, Compentence Center Information Retrieval & Machine Learning, Berlín. Alemania |
Año: | 2009 |
Periodo: | Jul-Dic |
Número: | 40 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Experimental, aplicado |
Resumen en inglés | We present a language–independent spell–checker that is based on an enhancement of the n–gram model. The spell checker is proposing correction suggestions by selecting the most promising candidates from a ranked list of correction candidates that is derived based on n–gram statistics and lexical resources. Besides motivating and describing the developed techniques, we briefly discuss the use of the proposed approach in an application for keyword– and semantic–based search support. In addition, the proposed tool was compared with state–of–the–art spelling correction approaches. The evaluation showed that it outperforms the other methods |
Disciplinas: | Ciencias de la computación |
Palabras clave: | Procesamiento de datos, Lingüística computacional, Recuperación de información, Corrección de ortografía |
Keyword: | Computer science, Data processing, Computing linguistics, Information retrieval, Spelling correction |
Texte intégral: | Texto completo (Ver HTML) |