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EMNLP
2010
14 years 10 months ago
Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
We describe a new approach to SMT adaptation that weights out-of-domain phrase pairs according to their relevance to the target domain, determined by both how similar to it they a...
George F. Foster, Cyril Goutte, Roland Kuhn
IEICET
2008
136views more  IEICET 2008»
15 years 12 days ago
Bilingual Cluster Based Models for Statistical Machine Translation
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...
Hirofumi Yamamoto, Eiichiro Sumita
118
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EMNLP
2009
14 years 10 months ago
Lattice-based System Combination for Statistical Machine Translation
Current system combination methods usually use confusion networks to find consensus translations among different systems. Requiring one-to-one mappings between the words in candid...
Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan L&...
EMNLP
2010
14 years 10 months ago
Statistical Machine Translation with a Factorized Grammar
In modern machine translation practice, a statistical phrasal or hierarchical translation system usually relies on a huge set of translation rules extracted from bi-lingual traini...
Libin Shen, Bing Zhang, Spyros Matsoukas, Jinxi Xu...
EMNLP
2010
14 years 10 months ago
Discriminative Sample Selection for Statistical Machine Translation
Production of parallel training corpora for the development of statistical machine translation (SMT) systems for resource-poor languages usually requires extensive manual effort. ...
Sankaranarayanan Ananthakrishnan, Rohit Prasad, Da...