Date of Last Revision
2023-05-03 05:03:17
Major
Computer Science - Systems
Degree Name
Bachelor of Science
Date of Expected Graduation
Spring 2018
Abstract
Elephant 2000 is a programming language to specify programs that accept user speech as text inputs and outputs speech text. The inputs and outputs are based on Dialogue Act theory which describes several forms of speech outputs, such as requests, questions, and answers. The language also relies on Named Entity Recognition to determine what types of objects a user references. These entities include persons, locations, times and so on. Using these attributes of user speech, a program is able to perform simple rule matching and pattern recognition to respond to input. The result is a programming language with English like syntax that allows a programmer to create a chat bot. The system is backed with a machine learning implementation of a moderately complex chat bot that leverages Sequence to Sequence and Long Short-Term Memory techniques. This allows programmers to have the system respond on its own if none of their rules are matched. The idea of this is to avoid system responses like “I do not know how to help you with that” and “I do not know.” The language was implemented using a scannerless lexer and compiler called parglare in python version 3.6.
Research Sponsor
Dr. Chien-Chung Chan
First Reader
Dr. Andrew Sutton
Second Reader
Dr. Michael L. Collard
Recommended Citation
Holmes, Kerry J., "Elephant 2000: A Programming Language for Remembering the Past and Building on It" (2018). Williams Honors College, Honors Research Projects. 622.
https://ideaexchange.uakron.edu/honors_research_projects/622
Included in
Artificial Intelligence and Robotics Commons, Programming Languages and Compilers Commons
Comments
Refer to John McCarthy's original paper "Elephant 2000: a programming language based on speech acts" for more information about this topic. The direct link can be found in the bibliography.