Improvising Language Conversation – Hindi & Urdu

In a diverse country such as India, natural language processing (NLP) plays an even greater role in resolving the complexities of languages. In this article, we discuss Urdu terminology used by Hindi literature and explain the problem for readers that are not familiar with these phrases. We devised an automated manner to replace Urdu-based words in Hindi sentences with synonymous terms used commonly in conversational or literary Hindi. This study supports current attempts at standardization and simplification that have been underway for Hindi, encouraging linguistic diversification in sectors like the media or education. While there are challenges to solve for, such as handling homonyms and a fixed list of synonyms available, we empirically show strong improvements towards more inclusive language. Overall, the research presents a starting point for future multilingual application-based work and highlights that NLP holds exciting promise to support reliable communication processes within diverse linguistic domains.