The rapid growth of digital data storage of medical or health, social media, education and many more in the world has amplified the demand for big data storage, which requires trillion of files having exabytes of data. This growth in data has put up the key question of how we can effectively manage and find the data in the emergent ocean of information. The upcoming demand for data storage in petabytes and exabytes of data has also resulted in putting pressure in organizing the file structure in such a way that retrieval results of searching a keyword should match with the growing pace of data storage. As a result, there is an increase in demand for keyword indexing and searching of file systems. Directly implementing searching methodology in file system has resulted in inefficient and inconsistent results. General purpose indexes may not be suitable for file system searching as it relies on relational databases and may limit the scalability and performance. This proposed bilingual framework for English and Hindi addresses these problems through a novel approach for indexing and searching queries in large scale file system.