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(Better than) State-of-the-Art PoS-tagging for Italian Texts

This paper presents some experiments for the construction of an high-performance PoS-tagger for Italian using deep neural networks techniques (DNN) integrated with an Italian powerful morphological analyser. The results obtained by the proposed system on standard datasets taken from the EVALITA camp...

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Detalles Bibliográficos
Autor Principal: Tamburini, Fabio
Formato: Chapter
Idioma:Inglês
Publicado: Accademia University Press 2016
Acceso en liña:https://doi.org/10.4000/books.aaccademia.1849
https://hdl.handle.net/20.500.13089/1d45
https://books.openedition.org/aaccademia/1849
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