| Revista: | Latin-American Journal of Computing (LAJC) |
| Base de datos: | |
| Número de sistema: | 000565094 |
| ISSN: | 1390-9134 |
| Autores: | Charro, Francisco1 Herrera, Marco1 Pozo, Nataly1 Rosales, Andrés1 |
| Instituciones: | 1Escuela Politécnica Nacional, |
| Año: | 2017 |
| Volumen: | 4 |
| Número: | 3 |
| Paginación: | 49-54 |
| País: | Ecuador |
| Idioma: | Inglés |
| Resumen en inglés | This article analyzes vector representation of phonemes as an alternative to improve a language identification system (LID). CBOW (Continuous Bag-of-Words) and Skip-gram architectures proposed by Mikolov are studied. These models allow predicting words within a context by generating n-dimensional vectors. In this work we will analyze the application of these models in smaller phonetic units or n-grams. |
| Keyword: | embeddings., n-grams, Skip-gram, Language Recognition, Vector Representation |
| Texto completo: | Texto completo (Ver PDF) |
