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What Weighs for Word Stress? Big Data Mining and Analyses of Phonotactic Distributions in Brazilian Portuguese

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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

For about four decades, phonological theories have claimed that word stress assignment depends on the word’s syllabic phonotactic complexity in relation to syllabic position. This study analyzes the phonotactic implications for word stress Brazilian Portuguese. After creating a phonotactic corpus and applying Random Forest modeling, phonotactic distributions for word stress were found to be bound to stress pattern and word length in number of syllables. To account for these observations, models of word naming must be extended with aspects of word stress.

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Notes

  1. 1.

    Antepenultimate and final stress patterns are considered to be exceptional in Portuguese and have diacritics on the stressed vowel to mark stress in orthography.

  2. 2.

    The sequence /tS/ in X-SAMPA corresponds to one sound, the voiceless palato-alveolar affricate, which in IPA is represented by the symbol /ʧ/.

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Author information

Authors and Affiliations

  1. Donders Centre for Cognition (DCC), Radboud University Nijmegen, Nijmegen, The Netherlands

    Amanda Post da Silveira & Ton Dijkstra

  2. Potiguar University – Laureate International Universities, Natal, Brazil

    Amanda Post da Silveira

  3. Centre for Language and Speech Technology (CLST), Radboud University Nijmegen, Nijmegen, The Netherlands

    Eric Sanders

  4. Departments of Computer Science and Computer Mathematics, University of São Paulo, São Paulo, Brazil

    Gustavo Mendonça

Authors
  1. Amanda Post da Silveira
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  2. Eric Sanders
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  3. Gustavo Mendonça
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  4. Ton Dijkstra
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Corresponding author

Correspondence to Amanda Post da Silveira .

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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Post da Silveira, A., Sanders, E., Mendonça, G., Dijkstra, T. (2018). What Weighs for Word Stress? Big Data Mining and Analyses of Phonotactic Distributions in Brazilian Portuguese. 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_40

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  • DOI: https://doi.org/10.1007/978-3-319-99722-3_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99721-6

  • Online ISBN: 978-3-319-99722-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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