Using syntax for improving phrase-based SMT in low-resource languages.
Data driven approaches for machine translation, such as statistical and neural machine translation, suffer from sparsity when dealing with low-resource languages. In these cases, using other sources of information including linguistic information could alleviate the problem. In this article, we focu...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 3; pp. 507 - 529 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |