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Automatic Morphological Annotation in a Text-to-Speech System for Hebrew

  • Conference paper
Speech and Computer (SPECOM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8113))

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Abstract

The paper presents the module for automatic morphological annotation within a text synthesizer for Hebrew, based on an efficient combination of two approaches. The first approach includes the selection of lexemes from appropriate lexica, while the other approach involves automatic morphological analysis of text input using a complex expert algorithm relying on a set of transformational rules and using 6 types of scoring procedures. The module operates on a set of 30 part-of-speech tags with more than 3000 corresponding morphological categories. The paper discusses the advantages of the proposed method in the context of an extremely morphologically complex language such as Hebrew, with particular emphasis given to the relative importance of individual scoring procedures. When all 6 scoring procedures are applied, the accuracy of 99.6% is achieved on a corpus of 3093 sentences (55046 words).

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References

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Author information

Authors and Affiliations

  1. Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia

    Branislav Popović, Milan Sečujski & Vlado Delić

  2. Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbia

    Marko Janev

  3. Brest National Engineering School, European Center for Virtual Reality, Brest, France

    Igor Stanković

Authors
  1. Branislav Popović
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  2. Milan Sečujski
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  3. Vlado Delić
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  4. Marko Janev
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  5. Igor Stanković
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Editor information

Editors and Affiliations

  1. Faculty of Applied Sciences, Department of Cybernetics, University of West Bohemia, Univerzitní 8, 306 14, Plzeň, Czech Republic

    Miloš Železný

  2. University of West Bohemia, 306 14, Pilsen, Czech Republic

    Ivan Habernal

  3. Speech and Multimodal Interfaces Laboratory, St. Petersburg Institute of Informatics and Automation for the Russian Academy of Sciences, 14-th line, 39, 199178, St. Petersburg, Russia

    Andrey Ronzhin

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© 2013 Springer International Publishing Switzerland

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Popović, B., Sečujski, M., Delić, V., Janev, M., Stanković, I. (2013). Automatic Morphological Annotation in a Text-to-Speech System for Hebrew. In: Železný, M., Habernal, I., Ronzhin, A. (eds) Speech and Computer. SPECOM 2013. Lecture Notes in Computer Science(), vol 8113. Springer, Cham. https://doi.org/10.1007/978-3-319-01931-4_11

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  • DOI: https://doi.org/10.1007/978-3-319-01931-4_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01930-7

  • Online ISBN: 978-3-319-01931-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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