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Start Over Year 2019 Thesis Supervisor Meng Su Keyword Machine Translation Keyword Rules-Based Machine Translation

1. Examining the Efficiency of Rule-Based Machine Translation

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Open Access

Author:: Burns, Kyle Joseph
Title:: Examining the Efficiency of Rule-Based Machine Translation
Area of Honors:: Computer Science (Behrend)
Keywords:: Machine Translation
Hidden Markov Models
Rules-Based Machine Translation
File:: Download Kyle_Burns_Thesis_Final.pdf
Thesis Supervisors:: Dr. Richard Zhao, Thesis Supervisor
Meng Su, Thesis Honors Advisor