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Portuguese Native Language Identification

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Computational Processing of the Portuguese Language (PROPOR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11122))

Abstract

This study presents the first Native Language Identification (NLI) study for L2 Portuguese. We used a sub-set of the NLI-PT dataset, containing texts written by speakers of five different native languages: Chinese, English, German, Italian, and Spanish. We explore the linguistic annotations available in NLI-PT to extract a range of (morpho-)syntactic features and apply NLI classification methods to predict the native language of the authors. The best results were obtained using an ensemble combination of the features, achieving \(54.1\%\) accuracy.

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Notes

  1. 1.

    https://sites.google.com/site/nlisharedtask2013/home.

  2. 2.

    https://sites.google.com/site/nlisharedtask/home.

  3. 3.

    The issues exist as the corpus was not designed specifically for NLI.

  4. 4.

    More details about this approach can be found in [21].

  5. 5.

    Like previous work, this also includes stop words.

  6. 6.

    http://web.science.mq.edu.au/~smalmasi/data/pt-fw.txt.

  7. 7.

    They are also known as Phrase Structure Rules or Production Rules.

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Acknowledgements

We would like to thank the anonymous reviewers for the suggestions and constructive feedback provided.

Author information

Authors and Affiliations

  1. Harvard Medical School, Boston, USA

    Shervin Malmasi

  2. University of Lisbon, Lisbon, Portugal

    Iria del Río

  3. University of Wolverhampton, Wolverhampton, UK

    Marcos Zampieri

Authors
  1. Shervin Malmasi
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  2. Iria del Río
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  3. Marcos Zampieri
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Corresponding author

Correspondence to Shervin Malmasi .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Aline Villavicencio

  2. Instituto de Informática - UFRGS, Porto Alegre, Brazil

    Viviane Moreira

  3. INESC-ID, Lisbon, Portugal

    Alberto Abad

  4. UFSCAR, Sao Carlos, Brazil

    Helena Caseli

  5. Centro Singular de Investigación en Tecnoloxías, Universidade de Santiago de Compostela, Santiago de Compostela, La Coruña, Spain

    Pablo Gamallo

  6. Université de Toulon, Parc Scientifique Technologique Luminy, Marseille, France

    Carlos Ramisch

  7. Centro de Informática e Sistemas, Universidade de Coimbra, Coimbra, Portugal

    Hugo Gonçalo Oliveira

  8. Federal University of Technology, Dois Vizinhos, Paraná, Brazil

    Gustavo Henrique Paetzold

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Malmasi, S., del Río, I., Zampieri, M. (2018). Portuguese Native Language Identification. In: Villavicencio, A., et al. Computational Processing of the Portuguese Language. PROPOR 2018. Lecture Notes in Computer Science(), vol 11122. Springer, Cham. https://doi.org/10.1007/978-3-319-99722-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-99722-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99721-6

  • Online ISBN: 978-3-319-99722-3

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