Revised N-Gram based Automatic Spelling Correction Tool to Improve Retrieval Effectiveness
Título del documento: Revised N-Gram based Automatic Spelling Correction Tool to Improve Retrieval Effectiveness
Revista: Polibits
Base de datos: PERIÓDICA
Número de sistema: 000368146
ISSN: 1870-9044
Autores: 1
2
1
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:
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
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