Malayalam morphological analysis using MBLP approach

This paper presents an approach to morphological analysis of Malayalam words as a classification Problem. The idea here is to use Memory Based Language Processing (MBLP) algorithm for Malayalam morphological analysis. MBLP is an approach to language processing based on exemplar storage during learning, and analogical reasoning during processing. The aim of the system is to find the citation forms (or meaningful parts) of words rather than a detailed morphological analysis. Training instances created from words are manually annotated for their segmentation and the system is trained using TiMBL (Tilburg Memory based Learner). The paper presents memory based model of Malayalam morphological analysis and its generalization accuracy.