Translating Natural Language Queries to SQL Using the T5 Model
Albert Wong, Lien Pham, Young Lee, Shek Chan, Razel Sadaya, Youry Khmelevsky, Mathias Clement, Florence Wing Yau Cheng, Joe Mahony, Michael Ferri
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This paper presents the development process of a natural language to SQL model using the T5 model as the basis. The models, developed in August 2022 for an online transaction processing system and a data warehouse, have a 73\% and 84\% exact match accuracy respectively. These models, in conjunction with other work completed in the research project, were implemented for several companies and used successfully on a daily basis. The approach used in the model development could be implemented in a similar fashion for other database environments and with a more powerful pre-trained language model.