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An Approach to Estimate Perplexity Values for Language Models Based on Phrase Classes

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Pattern Recognition and Image Analysis (IbPRIA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5524))

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Abstract

In this work we propose an approach to estimate perplexity values for complex language models such as a language model based on phrase classes. The perplexity values obtained by using this method are compared to other typically employed approaches and to the perplexity obtained without any simplification. Experiments over two different corpora were carried out and it can be concluded that the proposed approach provides a good estimation of the perplexity while reduces the computational cost.

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Authors and Affiliations

  1. Departamento de Electricidad y Electrónica, Universidad del País Vasco, 48940, Leioa, Spain

    Raquel Justo & M. Inés Torres

Authors
  1. Raquel Justo
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  2. M. Inés Torres
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Editors and Affiliations

  1. Institute of Systems and Robotics, Dept. of Electrical and Computer Eng.-Polo II, University of Coimbra, 3030-290, Coimbra, Portugal

    Helder Araujo

  2. Institute of Biomedical Engineering, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Ana Maria Mendonça

  3. Dept. de Electrónica e Telecomunicações / IEETA, Universidade de Aveiro, Signal Processing Lab, DETI/IEETA, University of Aveiro, 3810–193, Aveiro, Portugal

    Armando J. Pinho

  4. Departamento de Electricidad y Electrónica, Fac. Ciencia y Tecnología - UPV/EHU, Universidad del País Vasco, Apartado 644, 48080, Bilbao, Spain

    María Inés Torres

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© 2009 Springer-Verlag Berlin Heidelberg

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Justo, R., Torres, M.I. (2009). An Approach to Estimate Perplexity Values for Language Models Based on Phrase Classes. In: Araujo, H., Mendonça, A.M., Pinho, A.J., Torres, M.I. (eds) Pattern Recognition and Image Analysis. IbPRIA 2009. Lecture Notes in Computer Science, vol 5524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02172-5_53

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  • DOI: https://doi.org/10.1007/978-3-642-02172-5_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02171-8

  • Online ISBN: 978-3-642-02172-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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