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CICLING
2010
Springer

A Maximum Entropy Approach to Syntactic Translation Rule Filtering

10 years 5 months ago
A Maximum Entropy Approach to Syntactic Translation Rule Filtering
In this paper we will present a maximum entropy filter for the translation rules of a statistical machine translation system based on tree transducers. This filter can be successfully used to reduce the number of translation rules by more than 70% without negatively affecting translation quality as measured by BLEU. For some filter configurations, translation quality is even improved. Our investigations include a discussion of the relationship of Alignment Error Rate and Consistent Translation Rule Score with translation quality in the context of Syntactic Statistical Machine Translation.
Marcin Junczys-Dowmunt
Added 02 Aug 2010
Updated 02 Aug 2010
Type Conference
Year 2010
Where CICLING
Authors Marcin Junczys-Dowmunt
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