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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

Showing 21–30 of 244 papers

TitleStatusHype
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction—0
A MMSM-based Hybrid Method for Chinese MicroBlog Word Segmentation—0
A More Efficient Chinese Named Entity Recognition base on BERT and Syntactic Analysis—0
Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Data Augmentation—0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling—0
An Empirical Study of Automatic Chinese Word Segmentation for Spoken Language Understanding and Named Entity Recognition—0
An Empirical Study of Machine Translation for the Shared Task of WMT18—0
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training—0
A mixed approach for Chinese word segmentation—0
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