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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
Active Learning for Chinese Word Segmentation—0
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs—0
Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging—0
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks—0
A Grammar-informed Corpus-based Sentence Database for Linguistic and Computational Studies—0
AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale—0
A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning—0
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