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Translating Natural Language Queries to SQL Using the T5 Model

12 December 2023
Albert Wong
Lien Pham
Young Lee
Shek Chan
Razel Sadaya
Y. Khmelevsky
Mathias Clement
Florence Wing Yau Cheng
Joe Mahony
Michael Ferri
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Abstract

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.

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