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» Evaluating Machine Translations Using mNCD
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ACL
2012
13 years 5 months ago
Machine Translation without Words through Substring Alignment
In this paper, we demonstrate that accurate machine translation is possible without the concept of “words,” treating MT as a problem of transformation between character string...
Graham Neubig, Taro Watanabe, Shinsuke Mori, Tatsu...
COLING
2010
14 years 10 months ago
Semantic Role Features for Machine Translation
We propose semantic role features for a Tree-to-String transducer to model the reordering/deletion of source-side semantic roles. These semantic features, as well as the Tree-to-S...
Ding Liu, Daniel Gildea
175
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ACL
2011
14 years 7 months ago
Combining Morpheme-based Machine Translation with Post-processing Morpheme Prediction
This paper extends the training and tuning regime for phrase-based statistical machine translation to obtain fluent translations into morphologically complex languages (we build ...
Ann Clifton, Anoop Sarkar
120
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ACL
2007
15 years 4 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
EMNLP
2007
15 years 4 months ago
Chinese Syntactic Reordering for Statistical Machine Translation
Syntactic reordering approaches are an effective method for handling word-order differences between source and target languages in statistical machine translation (SMT) systems. T...
Chao Wang, Michael Collins, Philipp Koehn