UNL Enconversion for Tamil Sentence

Abstract

Natural language processing (NLP) aims to design and build software that will analyze, understand and generate languages that humans use naturally. Machine translation is a very important application in natural language processing. Universal Networking Language (UNL) is an intermediator which exchanges the knowledge from a natural language to allow the access of its content through different languages. In this proposed work, the development of an enconverter (analyzer) process is done in order to overcome language barriers from Tamil sentence to UNL format. The grammar teaching tools like character analyzer for analyzing character, morphological analyzer and verb conjugator for the word level analysis, Parts of speech (POS) tagger, chunker and dependency parser for the sentence level analysis will be developed using machine learning based technology. The purpose is to enconvert the Tamil sentence to UNL format so that it can be easily translated to any other targeted natural languages.