A Case Study on Tools and Techniques of Machine Translation of Indian Low Resource Languages

Abstract

India, celebrated for its vast linguistic diversity with 1,599 languages (including 122 prominent ones), exemplifies the richness of language variation. Indo-Aryan languages, spoken by 70% of the population, and Dravidian languages, used by 19%, create this diverse linguistic tapestry. Effective communication in this interconnected society is crucial, and machine translation plays a pivotal role in bridging language gaps. Speech is a cost-effective mode of interaction, particularly important in a globalized world. Machine translation, a part of natural language processing (NLP), aids in overcoming language barriers. This chapter presents enlightening case studies and valuable best practices, inspiring meaningful translation efforts for low-resource language communities. Together, we can break linguistic barriers, fostering a world of boundless communication and enduring cultural treasures. Challenges like limited linguistic resources, technological deficiencies, and community engagement issues persist.