| Revue: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000411080 |
| ISSN: | 1405-5546 |
| Autores: | Nabhan, Ahmed Ragab1 Shaalan, Khaled2 |
| Instituciones: | 1Fayoum University, Faculty of Computers and Information, Al Fayoum. Egipto 2The British University in Dubai, Dubai. Emiratos Arabes Unidos |
| Año: | 2016 |
| Periodo: | Jul-Sep |
| Volumen: | 20 |
| Número: | 3 |
| Paginación: | 527-539 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental, aplicado |
| Resumen en inglés | Genre characterization can be achieved by a variety of methods that employ lexical, syntactic, and presentation features of text to highlight key domain differences and stylistic preferences. However, these traditional methods cannot uncover some important macro-structural features that are embedded in text. Representation of text as a word graph can enable effective frameworks for analysis and identification of key topological features that characterize genres of text. In this study, we investigated graph features such as clustering coefficients, centralization, diameter, and average path lengths for eight text genres. The findings indicated key patterns that vary from a genre to another according to the stylistic differences in text. Furthermore, evidence of subgenres was found through some graph features such as number of connected components and node heterogeneity |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Procesamiento de datos, Lingüística aplicada, Lingüística computacional, Mensajes gráficos, Análisis de géneros, Características topológicas |
| Keyword: | Computer science, Literature and linguistics, Data processing, Applied linguistics, Computing linguistics, Word graphs, Genres analysis, Topological features |
| Texte intégral: | Texto completo (Ver HTML) |
