Abstract: Morphological based automatic cataloging for Telugu is present without requiring any machine learning algorithm or training data, in this paper. We believe that inflectional and agglutinating language, the critical information required for cataloging comes more from word internal structure than from the context and we show how a well designed morphological analyzer can assign correct catalogs and disambiguate many cases of catalog ambiguities too. We have used fine grained, hierarchical catalog set, carrying not only morph-syntactic information, but also some aspects of lexical and semantic information that is necessary or useful for syntactic parsing. We believe our approach can also be applied to other Dravidian languages. We give details of our experiments and results obtained.

Keywords: Cataloging, Morphology, POS cataloging, Telugu, Lexicon.