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 campaigns show large accuracy improvements when compared with previous systems from the literature.

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

TAMBURINI, FABIO
2016

Abstract

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 campaigns show large accuracy improvements when compared with previous systems from the literature.
2016
Proceedings of the Third Italian Conference on Computational Linguistics CLiC-it 2016
280
284
Tamburini, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/592501
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