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» Synthetic Word Parsing Improves Chinese Word Segmentation
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IJCNLP
2005
Springer
13 years 11 months ago
A Chunking Strategy Towards Unknown Word Detection in Chinese Word Segmentation
This paper proposes a chunking strategy to detect unknown words in Chinese word segmentation. First, a raw sentence is pre-segmented into a sequence of word atoms 1 using a maximum...
Guodong Zhou
COLING
2008
13 years 7 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
COLING
2008
13 years 7 months ago
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation
Words in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) systems. In MT, the widely used approach is to apply ...
Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann ...
COLING
2010
13 years 18 days 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 12 days 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