QueryAssist: Multimodal Verbal Specifications to Structured Query Conversion Model Using Word Vector-Based Semantic Analysis
摘要
QueryAssist is a model designed to enhance communication with databases by transforming Telugu natural language queries, both text and speech, into SQL queries. Built for government schools of the Telugu-speaking states in India, this model utilizes Word Vectors for semantic analysis, ensuring accurate query generation. QueryAssist acts as an intuitive interface to interact with SQL databases, by addressing challenges faced by schools in accessing and utilizing data. Its standout features are its ability to comprehend Telugu queries and its error handling and refinement system. Through extensive experiments, QueryAssist has proven its effectiveness in transforming natural language queries into SQL commands. The model’s architecture, results, and its potential to improve the quality of decision-making processes within government schools are presented in this paper.