| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000402943 |
| ISSN: | 1870-9044 |
| Autores: | Novak, Attila1 |
| Instituciones: | 1Pazmany Peter Catholic University, Faculty of Information Technology and Bionics, Budapest. Hungría |
| Año: | 2016 |
| Periodo: | Ene-Jun |
| Número: | 53 |
| Paginación: | 49-53 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico |
| Resumen en inglés | Web-crawled corpora contain a significant amount of noise. Automatic corpus annotation tools introduce even more noise performing erroneous language identification or encoding detection, introducing tokenization and lemmatization errors and adding erroneous tags or analyses to the original words. Our goal with the methods presented in this article was to use word embedding models to reveal such errors and to provide correction procedures. The evaluation focuses on analyzing and validating noun compounds identifying bogus compound analyses, recognizing and concatenating fragmented words, detecting erroneously encoded text, restoring accents and handling the combination of these errors in a Hungarian web-crawled corpus |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Inteligencia artificial, Procesamiento de datos, Lingüística aplicada, Procesamiento de lenguaje natural, Lingüística computacional, Modelo de espacio vectorial |
| Keyword: | Computer science, Literature and linguistics, Artificial intelligence, Data processing, Applied linguistics, Natural language processing, Computing linguistics, Vector space model |
| Texto completo: | Texto completo (Ver PDF) |
