Chinese Word Segmentation

Active Learning for Chinese Word Segmentation Proceedings of COLING 2012 Posters, pages 683?692, COLING 2012, Mumbai, December 2012 Active Learning for Chinese Word Segmentation

We also compare WEB-CWS with two state-of- the-art semi-supervised and unsupervised cross- domain CWS models by Qiu and Zhang ( 2015 ) and Liu and Zhang ( 2012 ), both of which use

Still, this improvement concerning the Description Length does not come with better results on the Chinese word segmenta- tion task, which raises interesting issues.. However, it

We also show in this paper that hidden Markov support vector machine can be used to model the Chinese word segmentation problem, by which high f-score results can be obtained