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» Self-Supervised Chinese Word Segmentation
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COLING
2010
13 years 2 months ago
Unsupervised phonemic Chinese word segmentation using Adaptor Grammars
Adaptor grammars are a framework for expressing and performing inference over a variety of non-parametric linguistic models. These models currently provide state-of-the-art perfor...
Mark Johnson, Katherine Demuth
JCIT
2010
115views more  JCIT 2010»
13 years 1 months ago
The Recognition Method of Unknown Chinese Words in Fragments Based on Mutual Information
This paper presents a method of using mutual information to improve the recognition algorithm of unknown Chinese words, it can resolve the complexity of weight settings and the in...
Qian Zhu, Xian-Yi Cheng, Zi-juan Gao
ACL
2009
13 years 4 months ago
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging - A Case Study
Manually annotated corpora are valuable but scarce resources, yet for many annotation tasks such as treebanking and sequence labeling there exist multiple corpora with different a...
Wenbin Jiang, Liang Huang, Qun Liu
COLING
2010
13 years 2 months ago
Word-based and Character-based Word Segmentation Models: Comparison and Combination
We present a theoretical and empirical comparative analysis of the two dominant categories of approaches in Chinese word segmentation: word-based models and character-based models...
Weiwei Sun
COLING
2010
13 years 2 months ago
Nonparametric Word Segmentation for Machine Translation
We present an unsupervised word segmentation model for machine translation. The model uses existing monolingual segmentation techniques and models the joint distribution over sour...
ThuyLinh Nguyen, Stephan Vogel, Noah A. Smith