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171
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IALP
2010
14 years 8 months ago
Hierarchical Pitman-Yor Language Model for Machine Translation
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
Tsuyoshi Okita, Andy Way
108
Voted
COLING
2010
14 years 8 months ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu
135
Voted
MT
2010
134views more  MT 2010»
14 years 11 months ago
Improve syntax-based translation using deep syntactic structures
This paper introduces deep syntactic structures to syntax-based Statistical Machine Translation (SMT). We use a Head-driven Phrase Structure Grammar (HPSG) parser to obtain the de...
Xianchao Wu, Takuya Matsuzaki, Jun-ichi Tsujii
96
Voted
EMNLP
2007
15 years 2 months ago
Improving Word Alignment with Bridge Languages
We describe an approach to improve Statistical Machine Translation (SMT) performance using multi-lingual, parallel, sentence-aligned corpora in several bridge languages. Our appro...
Shankar Kumar, Franz Josef Och, Wolfgang Macherey
131
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NAACL
2003
15 years 2 months ago
TIPS: A Translingual Information Processing System
Searching online information is increasingly a daily activity for many people. The multilinguality of online content is also increasing (e.g. the proportion of English web users, ...
Yaser Al-Onaizan, Radu Florian, Martin Franz, Hany...