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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 201–210 of 244 papers

TitleStatusHype
Chinese Word Segmentation by Mining Maximized Substrings—0
Deep Learning for Chinese Word Segmentation and POS Tagging—0
Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
Improving Chinese Word Segmentation on Micro-blog Using Rich Punctuations—0
Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation—0
A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing—0
Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation—0
Discriminative Learning with Natural Annotations: Word Segmentation as a Case Study—0
Grammars and Topic Models—0
Reduce Meaningless Words for Joint Chinese Word Segmentation and Part-of-speech Tagging—0
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