Title:

Toward Semantic Machine Translation

Author(s):

Andreas, Jacob

Thesis Advisor(s):

Collins, Michael John

Date:

2012

Type:

Undergraduate theses

Department:

Computer Science

Permanent URL:

http://hdl.handle.net/10022/AC:P:13690

Notes:

Senior thesis, Columbia University.

Abstract:

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.

Subject(s):

Computer science
Applied mathematics
Artificial intelligence

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