1. Examining the Efficiency of Rule-Based Machine Translation Open Access Author: Burns, Kyle Joseph Title: Examining the Efficiency of Rule-Based Machine Translation Area of Honors: Computer Science (Behrend) Keywords: Machine TranslationHidden Markov ModelsRules-Based Machine Translation File: Download Kyle_Burns_Thesis_Final.pdf Thesis Supervisors: Dr. Richard Zhao, Thesis SupervisorMeng Su, Thesis Honors Advisor
