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Theses Bachelor's

Toward Semantic Machine Translation

Andreas, Jacob

This thesis presents a novel approach to interlingual machine translation using λ-calculus expressions as an intermediate representation. It investigates and extends existing algorithms which learn a combinatorial category grammar for semantic parsing, and introduces two new algorithms for generation out of logical forms inspired by that semantic parser. The results of a set of new experiments for generation and parsing are described, as well as an evaluation of the performance of a semantic translation system created by joining the semantic parser and generator together. Experimental results demonstrate that under certain conditions, this semantic model achieves better performance than a standard phrase-based statistical MT system in both an automated evaluation of translation output and a manual evaluation of adequacy and fluency.

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More About This Work

Academic Units
Computer Science
Thesis Advisors
Collins, Michael John
Degree
B.A., Columbia University
Published Here
June 28, 2012