Abstract
Morphological analyzers are an essential parts of many natural language processing (NLP) systems such as machine translation systems. They may be efficiently implemented as finite state transducers. This paper describes a morphological system that can be used as stemmer, lemmatizer, spell checker, POS tagger, and as E-learning tool for Kannada learning people giving detailed explanation of various morphophonemics changes that occur in saMdhi. The language specific components, the lexicon and the rules, can be combined with a runtime engine applicable to all languages. Building Morphological analyzer/generator for morphologically complex and agglutinative language like Kannada is highly challenging. The major types of morphological process like inflection, derivation, and compounding are handled in this system.
An Erratum for this chapter can be found at http://dx.doi.org/10.1007/978-3-642-19403-0_62
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Melinamath, B.C., Math, A.G., Biradar, S.D. (2011). Retracted Chapter: A Compiler for Morphological Analyzer Based on Finite-State Transducers. In: Singh, C., Singh Lehal, G., Sengupta, J., Sharma, D.V., Goyal, V. (eds) Information Systems for Indian Languages. ICISIL 2011. Communications in Computer and Information Science, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19403-0_13
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DOI: https://doi.org/10.1007/978-3-642-19403-0_13
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