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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
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields—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
Can MDL Improve Unsupervised Chinese Word Segmentation?—0
A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation—0
Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training—0
Human-Computer Interactive Chinese Word Segmentation: An Adaptive Dirichlet Process Mixture Model Approach—0
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning—0
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