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» Using Word Support Model to Improve Chinese Input System
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ACL
2012
11 years 10 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
AUTOMATICA
2006
104views more  AUTOMATICA 2006»
13 years 8 months ago
Identification of multi-input systems: variance analysis and input design issues
This paper examines the identification of multi-input systems. Motivated by an experiment design problem (should one excite the various inputs simultaneously or separately), we ex...
Michel Gevers, Ljubisa Miskovic, Dominique Bonvin,...
EMNLP
2010
13 years 5 months ago
A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model
We show that the standard beam-search algorithm can be used as an efficient decoder for the global linear model of Zhang and Clark (2008) for joint word segmentation and POS-taggi...
Yue Zhang 0004, Stephen Clark
CIKM
2007
Springer
13 years 11 months ago
A segment-based hidden markov model for real-setting pinyin-to-chinese conversion
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...
Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Xiajiong ...
ICDAR
2009
IEEE
14 years 2 months ago
Integrating Language Model in Handwritten Chinese Text Recognition
This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segme...
Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu