Data/hora: 06/06/2024 12:10:51

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 17/02/1998
Data da última atualização: | 19/06/2008
Autoria: | VILLAVICENCIO, A.; LOPES, J. G. P.; MARQUES, N. M. C.; VILLAVICENCIO, F.
Título: | Part-of-speech tagging for portuguese texts.
Ano de publicação: | 1995
Fonte/Imprenta: | In: BRAZILIAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 12., 1995, Campinas. Advances in artificial intelligence: proceedings. Berlin: Springer, 1995.
Páginas: | p.323-332
Série: | (Lecture Notes in Artificial Intelligence, 991; Lecture Notes in Computer Science).
ISBN: | 3-540-60436-7
Idioma: | Inglês
Notas: | SBIA'95. Ed. by Jacques Wainer and Ariadne Carvalho.
Conteúdo: | In this paper we will describe the work that is being cooperatively done by Portugal and Brazil. It uses statistical methods for natural language processing namely, we will focus on the problem of Part-Of-Speech (POS) tagging is a recent and sucessful technique for assigning each word in a setence is correct POS tag. This technique can achieve more than 96% of accuracy, even with unseen untagged texts. All steps involved in this process will be described as well as the problems faced. Besides, we will present the stochastic approach to POS tagging, which treats the generation of tag algnments as a probabilistic problem. Finally, we will report the results achieved by using these kinds of techniques for portuguese texts.
Palavras-Chave: | Inteligencia artificial.
Thesaurus Nal: | artificial intelligence.
Categoria do assunto: | --
Registro original: | Embrapa Agricultura Digital (CNPTIA)
Exemplares: | CNPTIA - (6604-1) - ADD - PL - -- - 006.3 - BRA - 1996.00012 - DIS