A Novel Approach for Morphological Analysis and Inflections Based on POS Tagging

Word processing with tokenization and part-of-speech (POS) tagging is an integral component of computer linguistics. During the process of POS tagging, morphological analysis is crucial for applications like information retrieval, language modelling, machine translation, etc. Generating inflections that relate various forms of a single word is an important step in morphological analysis. In this paper, a novel approach of analysing word structure and generating inflections of nouns and adjectives has been proposed. In this approach, an efficient method using xml-based short notation has been implemented to store the generated inflected forms. A regular expression-based numeral sequencing has been used.