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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 191–200 of 244 papers

TitleStatusHype
Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing—0
A Study of the Effectiveness of Suffixes for Chinese Word Segmentation—0
Context-Based Chinese Word Segmentation using SVM Machine-Learning Algorithm without Dictionary Support—0
A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
Human-Computer Interactive Chinese Word Segmentation: An Adaptive Dirichlet Process Mixture Model Approach—0
Chinese Word Segmentation by Mining Maximized Substrings—0
Can MDL Improve Unsupervised Chinese Word Segmentation?—0
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning—0
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training—0
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