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79
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ICPR
2000
IEEE
15 years 2 months ago
Statistical-Based Approach to Word Segmentation
Thispaper presents a text word extraction algorithm that takes a set of bounding boxes of glyphs and their associated text lines of a given document andpartitions the glyphs into ...
Yalin Wang, Robert M. Haralick, Ihsin T. Phillips
88
Voted
ICCV
2005
IEEE
16 years 4 days ago
Image Statistics Based on Diffeomorphic Matching
We propose a new approach to deal with the first and second order statistics of a set of images. These statistics take into account the images characteristic deformations and thei...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
76
Voted
ACL
2009
14 years 8 months ago
A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers
Most NLP applications work under the assumption that a user input is error-free; thus, word segmentation (WS) for written languages that use word boundary markers (WBMs), such as ...
Han-Cheol Cho, Do-Gil Lee, Jung-Tae Lee, Pontus St...
ACL
2007
14 years 11 months ago
A Hybrid Approach to Word Segmentation and POS Tagging
In this paper, we present a hybrid method for word segmentation and POS tagging. The target languages are those in which word boundaries are ambiguous, such as Chinese and Japanes...
Tetsuji Nakagawa, Kiyotaka Uchimoto
90
Voted
ACL
2009
14 years 7 months ago
An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
Canasai Kruengkrai, Kiyotaka Uchimoto, Jun'ichi Ka...