Approach to Construction of Automatic Morphological Analysis Systems for Inflective Languages with Little Effort
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.
Unable to display preview. Download preview PDF.
- 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