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EMNLP
2007
13 years 10 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
COLING
2000
13 years 10 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
ACL
1998
13 years 10 months ago
Improving Statistical Natural Language Translation with Categories and Rules
This paper describes an all level approach on statistical natural language translation (SNLT). Without any predefined knowledge the system learns a statistical translation lexicon...
Franz Josef Och, Hans Weber
IEICET
2008
136views more  IEICET 2008»
13 years 9 months 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
LREC
2010
178views Education» more  LREC 2010»
13 years 10 months ago
Data Issues in English-to-Hindi Machine Translation
Statistical machine translation to morphologically richer languages is a challenging task and more so if the source and target languages differ in word order. Current state-of-the...
Ondrej Bojar, Pavel Stranák, Daniel Zeman