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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 151–175 of 244 papers

TitleStatusHype
Sentence Modeling with Gated Recursive Neural Network—0
Semi-supervised Chinese Word Segmentation based on Bilingual Information—0
A Transition-based Model for Joint Segmentation, POS-tagging and Normalization—0
Create a Manual Chinese Word Segmentation Dataset Using Crowdsourcing Method—0
Chinese Spelling Check System Based on N-gram Model—0
NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit—0
Radical Embedding: Delving Deeper to Chinese Radicals—0
The Discovery of Natural Typing Annotations: User-produced Potential Chinese Word Delimiters—0
Accurate Linear-Time Chinese Word Segmentation via Embedding Matching—0
Inducing Word and Part-of-Speech with Pitman-Yor Hidden Semi-Markov Models—0
Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study—0
Gated Recursive Neural Network for Chinese Word Segmentation—0
Synthetic Word Parsing Improves Chinese Word Segmentation—0
Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts—0
Automatic Adaptation of Annotations—0
A mixed approach for Chinese word segmentation—0
The CIPS-SIGHAN CLP 2014 Chinese Word Segmentation Bake-off—0
Joint Learning of Chinese Words, Terms and Keywords—0
Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations—0
Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints—0
Semi-Supervised Chinese Word Segmentation Using Partial-Label Learning With Conditional Random Fields—0
A Joint Model for Unsupervised Chinese Word Segmentation—0
Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information—0
Exploring Mental Lexicon in an Efficient and Economic Way: Crowdsourcing Method for Linguistic Experiments—0
Chinese Morphological Analysis with Character-level POS Tagging—0
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