Honors Program Theses
Award/Availability
Open Access Honors Program Thesis
First Advisor
Eugene Wallingford
Abstract
Since the beginning of computing, humans have been trying to make computers understand each other more completely. Humans have always had difficulties encoding their thoughts and computational problems and in tum, computers have had difficulty understanding the subtle nuances of the human mind. The first computers were nothing more than large calculators, but as time went on, they became become more sophisticated. Various technologies and techniques have been created that add features and capabilities to modern computer systems, and many of these will be discussed in this paper.
This paper describes my Honors Thesis project to design and implement a natural language to a structured query language translator. This system is being implemented in an academic environment, so its domain will match the types of data and queries it will be able to understand. After the source review, this paper will describe the system in more detail and reflect on the development process. This paper concludes with appendices including screenshots, source code, and a language definition.
Year of Submission
2011
Department
Department of Computer Science
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
Date Original
5-2011
Object Description
1 PDF file (23 pages)
Copyright
©2011 Kevin J. Shannon
Recommended Citation
Shannon, Kevin J., "Implementing a Natural Language to Structured Query Language Translator" (2011). Honors Program Theses. 866.
https://scholarworks.uni.edu/hpt/866
Comments
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