Date of Award
Master of Science (MS)
Committee Chair Department
Committee Member 2
Committee Member 2 Department
Committee Member 3
Committee Member 3 Department
In P-bar Theory, Perkins et al. (2014) proposed a rule based method for determining the context of a partext (i.e., a part of a text document).
In Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging Brill (1995) demonstrates a method of error-driven learning applied to individual words at the sentence level to determine the part of speech each word represents.
We combine these two concepts providing a transformation-based error-driven learning algorithm to improve the results obtained from the static rules Perkins proposed and determine if the rule order prediction will provide additional metadata.
Walley, Bryant Harold, "The Application of P-Bar Theory in Transformation-Based Error-Driven Learning" (2014). Master's Theses. 59.