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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 176–200 of 244 papers

TitleStatusHype
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory—0
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory—0
The CIPS-SIGHAN CLP 2012 ChineseWord Segmentation onMicroBlog Corpora Bakeoff—0
The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off—0
The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters—0
The First International Ancient Chinese Word Segmentation and POS Tagging Bakeoff: Overview of the EvaHan 2022 Evaluation Campaign—0
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints—0
Toward Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Towards Accurate Word Segmentation for Chinese Patents—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network—0
Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition—0
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging—0
Unified Multi-Criteria Chinese Word Segmentation with BERT—0
Unsupervised Chinese Word Segmentation with BERT Oriented Probing and Transformation—0
Using a Goodness Measurement for Domain Adaptation: A Case Study on Chinese Word Segmentation—0
Why Chinese Web-as-Corpus is Wacky? Or: How Big Data is Killing Chinese Corpus Linguistics—0
Word-Context Character Embeddings for Chinese Word Segmentation—0
Word Segmentation as Graph Partition—0
Word Segmentation on Chinese Mirco-Blog Data with a Linear-Time Incremental Model—0
Improving Patent Translation using Bilingual Term Extraction and Re-tokenization for Chinese--Japanese—0
A Cascaded Approach for CIPS-SIGHAN Micro-Blog Word Segmentation Bakeoff 2012—0
Accurate Linear-Time Chinese Word Segmentation via Embedding Matching—0
A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation—0
A Comparison of Chinese Word Segmentation on News and Microblog Corpora with a Lexicon Based Method—0
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