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Chinese Word Segmentation

Chinese word segmentation is the task of splitting Chinese text (i.e. a sequence of Chinese characters) into words (Source: www.nlpprogress.com).

Papers

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Showing 171–180 of 244 papers

TitleStatusHype
Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields—0
A Joint Model for Unsupervised Chinese Word Segmentation—0
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information—0
Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments—0
Chinese Morphological Analysis with Character-level POS Tagging—0
Effective Document-Level Features for Chinese Patent Word Segmentation—0
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora—0
Max-Margin Tensor Neural Network for Chinese Word Segmentation—0
Character-Level Chinese Dependency Parsing—0
New Word Detection for Sentiment Analysis—0
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