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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 101–125 of 244 papers

TitleStatusHype
Neural Chinese Word Segmentation with Dictionary Knowledge—0
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model—0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
A Pragmatic Approach for Classical Chinese Word Segmentation—0
Fluid Annotation: A Granularity-aware Annotation Tool for Chinese Word Fluidity—0
Word Segmentation as Graph Partition—0
Sanskrit Sandhi Splitting using seq2(seq)^2—0
A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks—0
Dual Long Short-Term Memory Networks for Sub-Character Representation LearningCode0
Effective Neural Solution for Multi-Criteria Word SegmentationCode0
NCTU-NTUT at IJCNLP-2017 Task 2: Deep Phrase Embedding using bi-LSTMs for Valence-Arousal Ratings Prediction of Chinese Phrases—0
Neural Regularized Domain Adaptation for Chinese Word Segmentation—0
Convolutional Neural Network with Word Embeddings for Chinese Word SegmentationCode0
Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Long Short-Term Memory for Japanese Word Segmentation—0
Gender Prediction for Chinese Social Media Data—0
Word-Context Character Embeddings for Chinese Word Segmentation—0
Multi-Grained Chinese Word Segmentation—0
DAG-based Long Short-Term Memory for Neural Word Segmentation—0
Neural Joint Model for Transition-based Chinese Syntactic Analysis—0
Benben: A Chinese Intelligent Conversational Robot—0
Adversarial Multi-Criteria Learning for Chinese Word Segmentation—0
Fast and Accurate Neural Word Segmentation for ChineseCode0
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network—0
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