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International Workshop on Systems and Frameworks for Computational Morphology

SFCM 2015: Systems and Frameworks for Computational Morphology pp 60–71Cite as

Morphological Analysis and Generation for Pali

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Part of the Communications in Computer and Information Science book series (CCIS,volume 537)

Abstract

In this paper we describe a system that performs morphological generation and analysis for Pali. We discuss the morphological aspects of the tasks our system performs with emphasis on Pali specific characteristics and difficulties and present insights into how this system is integrated into a technical infrastracture used in research about Pali.

Keywords

  • Word Form
  • Dictionary Entry
  • Morphological Form
  • Morphological Information
  • Word Class

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-3-319-23980-4_4
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Notes

  1. 1.

    Note: The data structure is specified in JSON format, not XML. This is because our dictionary data is maintained in a NoSQL data base which uses JSON as communication data format.

  2. 2.

    For reasons of easy interoperability with all system components we primarily focus on JSON as output format. As mentioned above the programming interface allows retrieval of XML output as well, which then contains the same data as the JSON data structure above.

References

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Author information

Authors and Affiliations

  1. Universität Trier, Trier, Germany

    David Alfter & Jürgen Knauth

Authors
  1. David Alfter
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  2. Jürgen Knauth
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Corresponding author

Correspondence to David Alfter .

Editor information

Editors and Affiliations

  1. Institut für Deutsche Sprache, Mannheim, Germany

    Cerstin Mahlow

  2. Leibniz Institute of European History, Mainz, Germany

    Michael Piotrowski

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Alfter, D., Knauth, J. (2015). Morphological Analysis and Generation for Pali. In: Mahlow, C., Piotrowski, M. (eds) Systems and Frameworks for Computational Morphology. SFCM 2015. Communications in Computer and Information Science, vol 537. Springer, Cham. https://doi.org/10.1007/978-3-319-23980-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-23980-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23978-1

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