Lexical Disambiguation of Arabic Language: An Experimental Study



Título del documento: Lexical Disambiguation of Arabic Language: An Experimental Study
Revista: Polibits
Base de datos: PERIÓDICA
Número de sistema: 000373721
ISSN: 1870-9044
Autores: 1
1
1
Instituciones: 1Réseau National Universitaire Tunisien, Unite de Recherche en Technologies de l'Information et de la Communication, El Manar. Túnez
Año:
Periodo: Jul-Dic
Número: 46
Paginación: 49-54
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés In this paper we test some supervised algorithms that most of the existing related works of word sense disambiguation have cited. Due to the lack of linguistic data for the Arabic language, we work on non–annotated corpus and with the help of four annotators; we were able to annotate the different samples containing the ambiguous words. Since that, we test the Naïve Bayes algorithm, the decision lists and the exemplar based algorithm. During the experimental study, we test the influence of the window size on the disambiguation quality, the derivation and the technique of smoothing for the (2n+1)–grams. For these tests the exemplar based algorithm achieves the best rate of precision
Disciplinas: Ciencias de la computación
Palabras clave: Procesamiento de datos,
Lingüística aplicada,
Algoritmos,
Ambigüedad
Keyword: Computer science,
Data processing,
Applied linguistics,
Algorithms,
Ambiguity
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