Machine Translation is a branch of research under Computational Linguistics that deals with the automatic/semi-automatic translation of a natu-ral/human language into another. The language that is being translated is termed as Source Language(SL) and the language into which translation is done, is termed Target Language(TL). This paper presents an English to Indian Languages Machine Translation technique that is based on the rules of grammar, namely word declensions or inflections, and sentence formation rules of the target languages, i.e. Indian Languages. Declensions are variations or inflections of words in language and Indian languages are richly declensional or inflectional languages. This study is on generating Noun Declension-case markers for English to Indian languages in Declension Rule based Machine Translation. This paper also describes about the various approaches to machine translation along with their system architectures. The proposed Declension based RBMT is explained with its architecture and each of the modules and their functionalities are elaborated in detail. The input and output, to and from the system are also described with an example. The research works that are similar with the proposed system, such as ANUSAARAKA and ANGLABHARATI are also explored.
Jayashree Nair, “Generating Noun Declension-case markers for English to Indian Languages in Declension Rule based MT Systems”, in IEEE 8th International Advance Computing Conference (IACC 2018), Uttar Pradesh, India., 2019.