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BMCBI
2010
135views more  BMCBI 2010»
13 years 5 months ago
A classification approach for genotyping viral sequences based on multidimensional scaling and linear discriminant analysis
Background: Accurate classification into genotypes is critical in understanding evolution of divergent viruses. Here we report a new approach, MuLDAS, which classifies a query seq...
Ji Woong Kim, Yongju Ahn, Kichan Lee, Sung-Hee Par...
ACL
2006
13 years 7 months ago
Boosting Statistical Word Alignment Using Labeled and Unlabeled Data
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
Hua Wu, Haifeng Wang, Zhan-yi Liu
AMTA
2004
Springer
13 years 11 months ago
: Improving Domain-Specific Word Alignment with a General Bilingual Corpus
In conventional word alignment methods, some employ statistical models or statistical measures, which need large-scale bilingual sentencealigned training corpora. Others employ dic...
Hua Wu, Haifeng Wang
IJCNLP
2005
Springer
13 years 11 months ago
Improving Statistical Word Alignment with Ensemble Methods
Abstract. This paper proposes an approach to improve statistical word alignment with ensemble methods. Two ensemble methods are investigated: bagging and cross-validation committee...
Hua Wu, Haifeng Wang
EMNLP
2008
13 years 7 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin