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International Conference on Intelligent Text Processing and Computational Linguistics

CICLing 2001: Computational Linguistics and Intelligent Text Processing pp 319–331Cite as

Converting Morphological Information Using Lexicalized and General Conversion

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2004))

Abstract

Today, many kinds of tagged corpora are available for re- search use. Often a different morphological system is used in each cor- pus. This makes it difficult to merge different types of morphological information, since conversion between different systems is complex and necessitates a understanding of both systems.

This paper describes a method of converting morphological information between two different systems by using lexicalized and general conver- sion. The difference between lexicalized and general conversion is the existence or absence of a lexicalized condition. Which conversion is ap- plied depends on the frequency of segments.

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Author information

Authors and Affiliations

  1. ATR Spoken Language Translation Research Laboratories, Japan

    Mitsuo Shimohata & Eiichiro Sumita

Authors
  1. Mitsuo Shimohata
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  2. Eiichiro Sumita
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Editor information

Editors and Affiliations

  1. CIC (Centro de Investigación en Computatción IPN (Instituto Politécnico Nacional), Av. Juan Dios Bátiz s/n esq. M. Othon Mendizabal Col. Nuevo Vallejo, CP. 07738, México, Mexico

    Alexander Gelbukh (Unidad Profecional “Adolfo López Mateos”) (Unidad Profecional “Adolfo López Mateos”)

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© 2001 Springer-Verlag Berlin Heidelberg

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Shimohata, M., Sumita, E. (2001). Converting Morphological Information Using Lexicalized and General Conversion. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_32

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  • DOI: https://doi.org/10.1007/3-540-44686-9_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41687-6

  • Online ISBN: 978-3-540-44686-6

  • eBook Packages: Springer Book Archive

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