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» Bayesian Word Alignment for Statistical Machine Translation
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79
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EMNLP
2009
14 years 7 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
62
Voted
ACL
2010
14 years 7 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein
95
Voted
ACL
2012
13 years 1 days ago
Post-ordering by Parsing for Japanese-English Statistical Machine Translation
Reordering is a difficult task in translating between widely different languages such as Japanese and English. We employ the postordering framework proposed by (Sudoh et al., 201...
Isao Goto, Masao Utiyama, Eiichiro Sumita
82
Voted
EMNLP
2010
14 years 7 months ago
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
ACL
2001
14 years 11 months ago
A Syntax-based Statistical Translation Model
We present a syntax-based statistical translation model. Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each ...
Kenji Yamada, Kevin Knight