| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000358995 |
| ISSN: | 1870-9044 |
| Autores: | Poulard, Fabien1 Hernández, Nicolás1 Daille, Béatrice1 |
| Instituciones: | 1Universite de Nantes, Nantes, Loire-Atlantique. Francia |
| Año: | 2011 |
| Periodo: | Ene-Jun |
| Número: | 43 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | This paper explores the detection of derivation links between texts (otherwise called plagiarism, near–duplication, revision, etc.) at the document level. We evaluate the use of textual elements implementing the ideas of specificity and invariance as well as their combination to characterize derivatives. We built a French press corpus based on Wikinews revisions to run this evaluation. We obtain performances similar to the state of the art method (n–grams overlap) while reducing the signature size and so, the processing costs. In order to ensure the verifiability and the reproducibility of our results we make our code as well as our corpus available to the community |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Procesamiento de datos, Lingüística aplicada, Lingüística computacional, Análisis de documentos, Derivaciones textuales, Detección de derivaciones, Cuasi-duplicados, Plagio |
| Keyword: | Computer science, Literature and linguistics, Data processing, Applied linguistics, Computing linguistics, Document anlysis, Textual derivatives, Derivations detection, Near-duplicates, Plagiarism |
| Texto completo: | Texto completo (Ver HTML) |
