Combining Semantic and Syntactic Generalization in Example-Based Machine Translation
by
Sarah Ebling
,
Andy Way
,
Martin Volk
,
Sudip Kumar Naskar
BibTeX
@MISC{Ebling_combiningsemantic,
author = {Sarah Ebling and Andy Way and Martin Volk and Sudip Kumar Naskar},
title = {Combining Semantic and Syntactic Generalization in Example-Based Machine Translation},
year = {}
}
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Abstract
In this paper, we report our experiments in combining two EBMT systems that rely on generalized templates, Marclator and CMU-EBMT, on an English–German translation task. Our goal was to see whether a statistically significant improvement could be achieved over the individual performances of these two systems. We observed that this was not the case. However, our system consistently outperformed a lexical EBMT baseline system. 1
