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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 221–230 of 244 papers

TitleStatusHype
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 New Clustering neural network for Chinese word segmentation—0
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction—0
A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation—0
A New Recurrent Neural CRF for Learning Non-linear Edge Features—0
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task—0
A Pragmatic Approach for Classical Chinese Word Segmentation—0
A realistic and robust model for Chinese word segmentation—0
A Seq-to-Seq Transformer Premised Temporal Convolutional Network for Chinese Word Segmentation—0
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