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Corpus-Based Acquisition of Support Verb Constructions for Portuguese

  • Conference paper
Computational Processing of the Portuguese Language (PROPOR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7243))

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Abstract

We present a resource-poor approach to automatically acquire Support Verb Constructions (SVCs) for European Portuguese with a two-stage procedure. First, we apply a cross-lingual approach with a bilingual parallel corpus: starting with a Portuguese full verb, we use the translations into another language and the corresponding backtranslations to identify Portuguese verb-noun pairs with the same meaning. Since not all of these are SVCs, the candidates are ranked and filtered in a second, monolingual step based on association statistics. We discuss two parametrisations of our procedure for a high-precision and a high-recall setting. In our experiments, these parametrisations achieve a maximum precision of 91% and a maximum recall of 86%, respectively.

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Author information

Authors and Affiliations

  1. Department of Computational Linguistics, Heidelberg University, Germany

    Britta D. Zeller & Sebastian Padó

Authors
  1. Britta D. Zeller
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  2. Sebastian Padó
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Editor information

Editors and Affiliations

  1. UFSCAR, Rod. Washington Luís, 13565-905, São Carlos, Brazil

    Helena Caseli

  2. UFRGS, Av. Bento Gonçalves, 9500, 91501-970, Porto Alegre, Brazil

    Aline Villavicencio

  3. DETI/IEETA, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal

    António Teixeira

  4. UC/ IT, DEEC, Universidade de Coimbra, Polo 2, 3030-290, Coimbra, Portugal

    Fernando Perdigão

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© 2012 Springer-Verlag Berlin Heidelberg

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Zeller, B.D., Padó, S. (2012). Corpus-Based Acquisition of Support Verb Constructions for Portuguese. In: Caseli, H., Villavicencio, A., Teixeira, A., Perdigão, F. (eds) Computational Processing of the Portuguese Language. PROPOR 2012. Lecture Notes in Computer Science(), vol 7243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28885-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-28885-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28884-5

  • Online ISBN: 978-3-642-28885-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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