A two-stage statistical word segmentation system for Chinese

Authors:
Guohong Fu;K. K. Luke
Affiliations:
The University of Hong Kong, Hong Kong;The University of Hong Kong, Hong Kong
Venue:
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Year:
2003

Citing 1
Cited 1

Automatic recognition of Chinese unknown words based on roles tagging

SIGHAN '02 Proceedings of the first SIGHAN workshop on Chinese language processing - Volume 18

A lexicon-constrained character model for chinese morphological analysis

IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we present a two-stage statistical word segmentation system for Chinese based on word bigram and word-formation models. This system was evaluated on Peking University corpora at the First International Chinese Word Segmentation Bakeoff. We also give results and discussions on this evaluation.