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Toward Semantic Machine Translation

Jacob Andreas

Title:
Toward Semantic Machine Translation
Author(s):
Andreas, Jacob
Thesis Advisor(s):
Collins, Michael John
Date:
Type:
Undergraduate theses
Department:
Computer Science
Permanent URL:
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
Item views:
400
Metadata:
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