Skip to main content

Approach to Construction of Automatic Morphological Analysis Systems for Inflective Languages with Little Effort

  • Conference paper
  • First Online:
Computational Linguistics and Intelligent Text Processing (CICLing 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2588))

Abstract

Development of morphological analysis systems for inflective languages is a tedious and laborious task. We suggest an approach for development of such systems that permits to spend less time and effort. It is based on static processing of stem allomorphs and the method of analysis known as “analysis through generation.” These features allow for using the morphological models oriented to generation, instead of developing special analysis models. Normally, generation models are presented in traditional grammars and correspond very well to the intuition of speakers. Systems based on this approach were developed for Russian and Spanish.

Work was done under partial support of Mexican Government (CONACyT, SNI), IPN, Mexico (CGEPI, COFAA, PIFI), and RITOS-2.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gelbukh, A.F. Effective implementation of morphology model for an inflectional natural language. J. Automatic Documentation and Mathematical Linguistics, Allerton Press, vol. 26, N 1, 1992, pp. 22–31.

    Google Scholar 

  2. Hausser, Roland. Foundations of Computational linguistics. Springer, 1999, 534 p.

    Google Scholar 

  3. Koskenniemi, Kimmo. Two-level Morphology: A General Computational Model for Word-Form Recognition and Production. University of Helsinki Publications, N 11, 1983.

    Google Scholar 

  4. Malkovsky, M. G. Dialogue with an artificial intelligence system (in Russian). Moscow State University, Moscow, Russia, 1985, 213 pp.

    Google Scholar 

  5. Sedlacek R. and P. Smrz, A new Czech morphological analyzer AJKA. Proc. of TSD-2001. LNCS 2166, Springer, 2001, pp. 100–107.

    Google Scholar 

  6. Sidorov, G. O. Lemmatization in automatized system for compilation of personal style dictionaries of literature writers (in Russian). In: Word by Dostoyevsky (in Russian), Moscow, Russia, Russian Academy of Sciences, 1996, pp. 266–300.

    Google Scholar 

  7. Sproat, R. Morphology and computation. Cambridge, MA, MIT Press, 1992, 313 p.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gelbukh, A., Sidorov, G. (2003). Approach to Construction of Automatic Morphological Analysis Systems for Inflective Languages with Little Effort. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2003. Lecture Notes in Computer Science, vol 2588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36456-0_21

Download citation

  • DOI: https://doi.org/10.1007/3-540-36456-0_21

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00532-2

  • Online ISBN: 978-3-540-36456-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics