Morphology Based POS Tagging on Telugu
In this paper, we present a morphological based automatic tagging for Telugu without requiring any machine learning algorithm or training data. We believe that inflectional and agglutinating languages, the critical information required for tagging comes more from word internal structure than from the context and we show how a well designed morphological analyzer can assign correct tags and disambiguate many cases of tag ambiguities too. We have used fine grained, hierarchical tag 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 give details of our experiments and results obtained. We believe our approach can also be applied to other Dravidian languages.
Keywords: Morphology, POS tagging, Tagging, Telugu, Lexicon
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ABOUT THE AUTHOR
Srinivasu Badugu
Associate Professor Department of Computer and Engineering, Sridevi Womens Engineering College Hyderabad, Andhra Pradesh 500050, India
Srinivasu Badugu
Associate Professor Department of Computer and Engineering, Sridevi Womens Engineering College Hyderabad, Andhra Pradesh 500050, India
