Abstract
Developing a complete and well specified natural language processing (NLP) models for any language with limited electronic resources is always a challenging and demanding task. Morphological Analyzer and Generator (MAG) is an indispensable tool used extensively in natural language processing applications such as Machine Translation (MT), spell checker, Information Retrieval (IR), lexicography etc. A Morphological Analyser describes the root word and its various morphemes ordering structure of the word form in use. While a Morphological Generator processes the given root word and its morpheme structure to derive the required word form. This paper presents the development of a Morphological Analyzer and Generator for an agglutinative Dravidian language called Tulu. Even though such a Morphological Analyzer and Generator tool is mandatory for many Natural Language Processing (NLP) tasks but is not yet available for Tulu language. The proposed rule based Morphological Analyzer and Generator system is implemented using AT & T Open FST (Finite state transducer). From the experiment it is observed that, the performance of the proposed system is encouraging and can be substantially improved by increasing the number of rules.
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