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» Predicting Success in Machine Translation
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ACL
2008
13 years 9 months ago
Applying Morphology Generation Models to Machine Translation
We improve the quality of statistical machine translation (SMT) by applying models that predict word forms from their stems using extensive morphological and syntactic information...
Kristina Toutanova, Hisami Suzuki, Achim Ruopp
ACL
2007
13 years 9 months ago
Generating Complex Morphology for Machine Translation
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
Einat Minkov, Kristina Toutanova, Hisami Suzuki
ACL
2008
13 years 9 months ago
A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation
In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders ...
Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li
FINTAL
2006
13 years 11 months ago
Statistical Machine Translation of German Compound Words
Abstract. German compound words pose special problems to statistical machine translation systems: the occurence of each of the components in the training data is not sufficient for...
Maja Popovic, Daniel Stein, Hermann Ney
COLING
2002
13 years 7 months ago
Using an Ontology to Determine English Countability
In this paper we show to what degree the countability of English nouns is predictable from their semantics. We found that at 78% of nouns' countability could be predicted usi...
Francis Bond, Caitlin Vatikiotis-Bateson