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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
17/02/1998 |
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Data da última atualização: |
19/06/2008 |
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Autoria: |
VILLAVICENCIO, A.; LOPES, J. G. P.; MARQUES, N. M. C.; VILLAVICENCIO, F. |
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Título: |
Part-of-speech tagging for portuguese texts. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
In: BRAZILIAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 12., 1995, Campinas. Advances in artificial intelligence: proceedings. Berlin: Springer, 1995. |
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Páginas: |
p.323-332 |
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Série: |
(Lecture Notes in Artificial Intelligence, 991; Lecture Notes in Computer Science). |
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ISBN: |
3-540-60436-7 |
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Idioma: |
Inglês |
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Notas: |
SBIA'95. Ed. by Jacques Wainer and Ariadne Carvalho. |
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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. |
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Palavras-Chave: |
Inteligencia artificial. |
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Thesaurus Nal: |
artificial intelligence. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01552naa a2200229 a 4500
001 1005974
005 2008-06-19
008 1995 bl uuuu u00u1 u #d
020 $a3-540-60436-7
100 1 $aVILLAVICENCIO, A.
245 $aPart-of-speech tagging for portuguese texts.
260 $c1995
300 $ap.323-332
490 $a(Lecture Notes in Artificial Intelligence, 991; Lecture Notes in Computer Science).
500 $aSBIA'95. Ed. by Jacques Wainer and Ariadne Carvalho.
520 $aIn 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.
650 $aartificial intelligence
653 $aInteligencia artificial
700 1 $aLOPES, J. G. P.
700 1 $aMARQUES, N. M. C.
700 1 $aVILLAVICENCIO, F.
773 $tIn: BRAZILIAN SYMPOSIUM ON ARTIFICIAL INTELLIGENCE, 12., 1995, Campinas. Advances in artificial intelligence: proceedings. Berlin: Springer, 1995.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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