Toward Semantic Machine Translation
- Toward Semantic Machine Translation
- Andreas, Jacob
- Thesis Advisor(s):
- Collins, Michael John
- Undergraduate theses
- Computer Science
- Persistent URL:
- Senior thesis, Columbia University.
- This thesis presents a novel approach to interlingual machine translation using Î»-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.
- Computer science
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- Suggested Citation:
- Jacob Andreas, 2012, Toward Semantic Machine Translation, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:13690.