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» Predicting Success in Machine Translation
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EMNLP
2010
13 years 5 months ago
Effects of Empty Categories on Machine Translation
We examine effects that empty categories have on machine translation. Empty categories are elements in parse trees that lack corresponding overt surface forms (words) such as drop...
Tagyoung Chung, Daniel Gildea
NAACL
2007
13 years 9 months ago
Joint Morphological-Lexical Language Modeling for Machine Translation
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine translation (SMT) of language pairs where one or both of the languages are morpholog...
Ruhi Sarikaya, Yonggang Deng
ACL
2001
13 years 9 months ago
Fast Decoding and Optimal Decoding for Machine Translation
A good decoding algorithm is critical to the success of any statistical machine translation system. The decoder's job is to find the translation that is most likely according...
Ulrich Germann, Michael Jahr, Kevin Knight, Daniel...
EMNLP
2009
13 years 5 months ago
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
Yuval Marton, Chris Callison-Burch, Philip Resnik
EMNLP
2009
13 years 5 months ago
Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
In this work, we propose two extensions of standard word lexicons in statistical machine translation: A discriminative word lexicon that uses sentence-level source information to ...
Arne Mauser, Sasa Hasan, Hermann Ney