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2008

Enriching Morphologically Poor Languages for Statistical Machine Translation

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Enriching Morphologically Poor Languages for Statistical Machine Translation
We address the problem of translating from morphologically poor to morphologically rich languages by adding per-word linguistic information to the source language. We use the syntax of the source sentence to extract information for noun cases and verb persons and annotate the corresponding words accordingly. In experiments, we show improved performance for translating from English into Greek and Czech. For English
Eleftherios Avramidis, Philipp Koehn
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Eleftherios Avramidis, Philipp Koehn
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