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Selva: A New Syntactic Parser for Portuguese

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  • First Online:
Computational Processing of the Portuguese Language (PROPOR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2721))

Abstract

We describe an ongoing project whose aim is to build a parser for Brazilian Portuguese, Selva, which can be used as a basis for subsequent research in natural language processing, such as automatic translation and ellipsis and anaphora resolution. The parser is meant to handle arbitrary prose texts in unrestricted domains, including the full range of coordination and subordination constructs. The parser operates separately on each sentence, and outputs all its syntactically valid derivation trees.

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Author information

Authors and Affiliations

  1. Institute of Computing, State University of Campinas, Cx. Postal 6176, 13084-971, Campinas (SP), Brazil

    Sheila de Almeida, Ariadne Carvalho, Lucien Fantin & Jorge Stolfi

Authors
  1. Sheila de Almeida
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  2. Ariadne Carvalho
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  3. Lucien Fantin
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  4. Jorge Stolfi
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Editor information

Editors and Affiliations

  1. L2F, INESC-ID Lisboa, Technical University of Lisbon, Rua Alves Redol, 9, 1000-029, Lisbon, Portugal

    Nuno J. Mamede  & Isabel Trancoso  & 

  2. Faculty of Humanities and Social Sciences, University of Algarve, Campus de Gambelas, 8005-139, Faro, Portugal

    Jorge Baptista

  3. NILC, ICMC-USP São-Carlos, Av. do Trabalhador São-Carlense, 400, 13560-970, São Carlos, SP, Brazil

    Maria das Graças Volpe Nunes

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© 2003 Springer-Verlag Berlin Heidelberg

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de Almeida, S., Carvalho, A., Fantin, L., Stolfi, J. (2003). Selva: A New Syntactic Parser for Portuguese. In: Mamede, N.J., Trancoso, I., Baptista, J., das Graças Volpe Nunes, M. (eds) Computational Processing of the Portuguese Language. PROPOR 2003. Lecture Notes in Computer Science(), vol 2721. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45011-4_16

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  • DOI: https://doi.org/10.1007/3-540-45011-4_16

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40436-1

  • Online ISBN: 978-3-540-45011-5

  • eBook Packages: Springer Book Archive

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