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Semantic Model of Possessive Pronouns Machine Translation for English to Bulgarian Language

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On the Move to Meaningful Internet Systems: OTM 2015 Workshops (OTM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9416))

Abstract

The paper presents technique to interpret possessive pronouns for English to Bulgarian language syntax-based machine translation. It uses Universal Networking Language (UNL) as a formal framework to present possessive pronouns grammar features by employing semantic networks for both English and Bulgarian language. The technique includes also use of statistically-based estimation of accuracy of translation by measuring precision and recall of both training and controlled electronic text corpora and by improving related grammar rules.

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References

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Author information

Authors and Affiliations

  1. Institute for Bulgarian Language, Bulgarian Academy of Sciences, 52, Shipchensky Proh. Str., Bl. 17, 1113, Sofia, Bulgaria

    Velislava Stoykova

Authors
  1. Velislava Stoykova
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Corresponding author

Correspondence to Velislava Stoykova .

Editor information

Editors and Affiliations

  1. University Babes-Bolyai, Cluj-Napoca, Romania

    Ioana Ciuciu

  2. University of Lorraine, Vandoeuvre-les-Nancy Cedex, France

    Hervé Panetto

  3. Trinity College Dublin, Dublin 2, Ireland

    Christophe Debruyne

  4. University of Lorraine, Vandoevre-les-Nancy, France

    Alexis Aubry

  5. Iserlohn, Nordrhein-Westfalen, Germany

    Peter Bollen

  6. Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  7. Atilim Univeristy, Ankara, Turkey

    Alok Mishra

  8. Semantic Technology Institute, University Innsbruck, Innsbruck, Austria

    Anna Fensel

  9. National Research Council, Rome, Italy

    Fernando Ferri

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Stoykova, V. (2015). Semantic Model of Possessive Pronouns Machine Translation for English to Bulgarian Language. In: Ciuciu, I., et al. On the Move to Meaningful Internet Systems: OTM 2015 Workshops. OTM 2015. Lecture Notes in Computer Science(), vol 9416. Springer, Cham. https://doi.org/10.1007/978-3-319-26138-6_38

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  • DOI: https://doi.org/10.1007/978-3-319-26138-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26137-9

  • Online ISBN: 978-3-319-26138-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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