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» Self-Supervised Chinese Word Segmentation
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ACL
2006
15 years 1 months ago
Unsupervised Segmentation of Chinese Text by Use of Branching Entropy
We propose an unsupervised segmentation method based on an assumption about language data: that the increasing point of entropy of successive characters is the location of a word ...
Zhihui Jin, Kumiko Tanaka-Ishii
NLPRS
2001
Springer
15 years 4 months ago
Automatic Corpus-Based Extraction of Chinese Legal Terms
This paper reports on a study involving the automatic extraction of Chinese legal terms. We used a word segmented corpus of Chinese court judgments to extract salient legal expres...
Oi Yee Kwong, Benjamin K. Tsou
NLPRS
2001
Springer
15 years 4 months ago
Vietnamese Word Segmentation
Word segmentation is the first and obligatory task for every NLP. For inflectional languages like English, French, Dutch,.. their word boundaries are simply assumed to be whitespa...
Dinh Dien, Hoang Kiem, Nguyen Van Toan
EMNLP
2010
14 years 9 months ago
A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model
We show that the standard beam-search algorithm can be used as an efficient decoder for the global linear model of Zhang and Clark (2008) for joint word segmentation and POS-taggi...
Yue Zhang 0004, Stephen Clark
LREC
2010
188views Education» more  LREC 2010»
15 years 1 months ago
How Large a Corpus Do We Need: Statistical Method Versus Rule-based Method
We investigate the impact of input data scale in corpus-based learning using a study style of Zipf's law. In our research, Chinese word segmentation is chosen as the study ca...
Hai Zhao, Yan Song, Chunyu Kit