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EMNLP
2006

The impact of parse quality on syntactically-informed statistical machine translation

9 years 5 months ago
The impact of parse quality on syntactically-informed statistical machine translation
We investigate the impact of parse quality on a syntactically-informed statistical machine translation system applied to technical text. We vary parse quality by varying the amount of data used to train the parser. As the amount of data increases, parse quality improves, leading to improvements in machine translation output and results that significantly outperform a state-of-the-art phrasal baseline.
Chris Quirk, Simon Corston-Oliver
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where EMNLP
Authors Chris Quirk, Simon Corston-Oliver
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