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A resource-light approach to morpho-syntactic tagging /
While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic a...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York, NY :
Rodopi,
2010.
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| Colección: | Language and computers ;
no. 70. |
| Temas: | |
| Acceso en línea: | Texto completo |