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International Conference on Automatic Processing of Natural-Language Electronic Texts with NooJ

NooJ 2021: Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities pp 231–242Cite as

Automatic Generation of Intonation Marks and Prosodic Segmentation for Belarusian NooJ Module

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Part of the Communications in Computer and Information Science book series (CCIS,volume 1520)

Abstract

The article depicts the problem of automated text segmentation into syntagmas at the punctuational and the semantic levels of Belarusian. It is aimed at generating prosodic transcription and delimiting long sentences. Its implementation is essential for improving the synthetic speech generated by Belarusian text-to-speech systems using prepared syntactic grammars in NooJ.

Keywords

  • Syntactic grammar
  • Intonation
  • Syntagma
  • Prosodic delimitation
  • Segmentation
  • Extraction
  • Text-to-speech systems

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Author information

Authors and Affiliations

  1. United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus

    Yauheniya Zianouka, Yuras Hetsevich, David Latyshevich & Zmicier Dzenisiuk

Authors
  1. Yauheniya Zianouka
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  2. Yuras Hetsevich
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  3. David Latyshevich
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  4. Zmicier Dzenisiuk
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Editor information

Editors and Affiliations

  1. Université de Franche-Comté, Besançon, France

    Magali Bigey

  2. Université de Franche-Comté, Besançon, France

    Annabel Richeton

  3. Université de Franche-Comté, Besançon, France

    Max Silberztein

  4. Université de Franche-Comté, Besançon, France

    Izabella Thomas

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Zianouka, Y., Hetsevich, Y., Latyshevich, D., Dzenisiuk, Z. (2021). Automatic Generation of Intonation Marks and Prosodic Segmentation for Belarusian NooJ Module. In: Bigey, M., Richeton, A., Silberztein, M., Thomas, I. (eds) Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2021. Communications in Computer and Information Science, vol 1520. Springer, Cham. https://doi.org/10.1007/978-3-030-92861-2_20

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  • DOI: https://doi.org/10.1007/978-3-030-92861-2_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92860-5

  • Online ISBN: 978-3-030-92861-2

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