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» Improving Statistical Word Alignment with Ensemble Methods
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NLE
2007
180views more  NLE 2007»
13 years 7 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
ACL
2010
13 years 5 months ago
Word Alignment with Synonym Regularization
We present a novel framework for word alignment that incorporates synonym knowledge collected from monolingual linguistic resources in a bilingual probabilistic model. Synonym inf...
Hiroyuki Shindo, Akinori Fujino, Masaaki Nagata
MCS
2009
Springer
14 years 1 days ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
ACL
1996
13 years 8 months ago
High-Performance Bilingual Text Alignment Using Statistical and Dictionary Information
This paper describes an accurate and robust text alignment system for structurally different languages. Among structurally different languages such as Japanese and English, there ...
Masahiko Haruno, Takefumi Yamazaki
KBS
2006
150views more  KBS 2006»
13 years 7 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang