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» Statistical-Based Approach to Word Segmentation
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SIGIR
2002
ACM
14 years 10 months ago
Using self-supervised word segmentation in Chinese information retrieval
We propose a self-supervised word-segmentation technique for Chinese information retrieval. This method combines the advantages of traditional dictionary based approaches with cha...
Fuchun Peng, Xiangji Huang, Dale Schuurmans, Nick ...
105
Voted
SIP
2003
14 years 11 months ago
A Novel Approach to Neurite Tracing in Fluorescence Microscopy Images
In this paper we propose a new, interactive technique for the segmentation of elongated structures in images. It is based on the so-called live-wire segmentation paradigm and uses...
Erik H. W. Meijering, Mathews Jacob, J.-C. Floyd S...
68
Voted
NAACL
1994
14 years 11 months ago
Japanese Word Segmentation by Hidden Markov Model
The processing of Japanese text is complicated by the fact that there are no word delimiters. To segment Japanese text, systems typically use knowledge-based methods and large lex...
Constantine Papageorgiou
72
Voted
ISICT
2003
14 years 11 months ago
Spam filters: bayes vs. chi-squared; letters vs. words
We compare two statistical methods for identifying spam or junk electronic mail. Spam filters are classifiers which determine whether an email is junk or not. The proliferation ...
Cormac O'Brien, Carl Vogel
ICPR
2010
IEEE
14 years 8 months ago
A Baseline Dependent Approach for Persian Handwritten Character Segmentation
-- In this paper, an efficient approach to segment Persian off-line handwritten text-line into characters is presented. The proposed algorithm first traces the baseline of the inpu...
Alireza Alaei, P. Nagabhushan, Umapada Pal