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International Conference on Text, Speech, and Dialogue

TSD 2016: Text, Speech, and Dialogue pp 287–294Cite as

Evaluation and Improvements in Punctuation Detection for Czech

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9924))

Abstract

Punctuation detection and correction belongs to the hardest automatic grammar checking tasks for the Czech language. The paper compares available grammar and punctuation correction programs on several data sets. It also describes a set of improvements of one of the available tools, leading to significantly better recall, as well as precision.

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Notes

  1. 1.

    http://openfst.org/.

  2. 2.

    SET is an abbreviation of “syntactic engineering tool”.

  3. 3.

    http://nlp.fi.muni.cz/trac/set/browser/punct.set.

  4. 4.

    http://nlp.fi.muni.cz/trac/set/browser/punct2.set.

References

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Acknowledgments

This work has been partly supported by the Grant Agency of CR within the project 15-13277S. The research leading to these results has received funding from the Norwegian Financial Mechanism 2009–2014 and the Ministry of Education, Youth and Sports under Project Contract no. MSMT-28477/2014 within the HaBiT Project 7F14047. This work was also partly supported by Student Grant Scheme 2016 of Technical University of Liberec.

Author information

Authors and Affiliations

  1. NLP Centre, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Vojtěch Kovář, Jakub Machura & Kristýna Zemková

  2. Institute of Information Technology and Electronics, Technical University of Liberec, Studentská 2, 461 17, Liberec, Czech Republic

    Michal Rott

Authors
  1. Vojtěch Kovář
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  2. Jakub Machura
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  3. Kristýna Zemková
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  4. Michal Rott
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Corresponding author

Correspondence to Vojtěch Kovář .

Editor information

Editors and Affiliations

  1. Masaryk University , Brno, Czech Republic

    Petr Sojka

  2. Masaryk University , Brno, Czech Republic

    Aleš Horák

  3. Masaryk University , Brno, Czech Republic

    Ivan Kopeček

  4. Masaryk University , Brno, Czech Republic

    Karel Pala

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Kovář, V., Machura, J., Zemková, K., Rott, M. (2016). Evaluation and Improvements in Punctuation Detection for Czech. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2016. Lecture Notes in Computer Science(), vol 9924. Springer, Cham. https://doi.org/10.1007/978-3-319-45510-5_33

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  • DOI: https://doi.org/10.1007/978-3-319-45510-5_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45509-9

  • Online ISBN: 978-3-319-45510-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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