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ICPR
2002
IEEE
14 years 9 months ago
Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection
This paper proposes a word segmentation method for machine-printed text lines. It utilizes gaps and special symbols as delimiters between words. A gap clustering technique is used...
Soo-Hyung Kim, Chang Bu Jeong, Hee K. Kwag, Ching ...
ACL
2009
13 years 6 months ago
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
FLAIRS
2007
13 years 11 months ago
Combining Machine Learning with Linguistic Heuristics for Chinese Word Segmentation
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
Xiaofei Lu
ACL
2007
13 years 10 months ago
Chinese Segmentation with a Word-Based Perceptron Algorithm
Standard approaches to Chinese word segmentation treat the problem as a tagging task, assigning labels to the characters in the sequence indicating whether the character marks a w...
Yue Zhang 0004, Stephen Clark
COLING
1992
13 years 9 months ago
Broad Coverage Automatic Morphological Segmentation of German Words
A system for the automatic segmentation of German words into morphs was developed. The main linguistic knowledge sources used by the system are a word syntax and a morph dictionar...
T. Pachunke, O. Mertineit, Klaus Wothke, Rudolf Sc...