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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 111–120 of 244 papers

TitleStatusHype
Chinese Word Segmentation with Heterogeneous Graph Neural Network—0
Grammars and Topic Models—0
Grammatical Error Detection Based on Machine Learning for Mandarin as Second Language Learning—0
Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
Green CWS: Extreme Distillation and Efficient Decode Method Towards Industrial Application—0
Hierarchical Maximum Pattern Matching with Rule Induction Approach for Sentence Parsing—0
Human-Computer Interactive Chinese Word Segmentation: An Adaptive Dirichlet Process Mixture Model Approach—0
Hyperbolic Deep Learning for Chinese Natural Language Understanding—0
Improving Chinese Word Segmentation on Micro-blog Using Rich Punctuations—0
Chinese Word Segmentation by Mining Maximized Substrings—0
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