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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 151–200 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
Effective Document-Level Features for Chinese Patent Word Segmentation—0
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large-scale Corpora—0
Max-Margin Tensor Neural Network for Chinese Word Segmentation—0
Character-Level Chinese Dependency Parsing—0
New Word Detection for Sentiment Analysis—0
Omni-word Feature and Soft Constraint for Chinese Relation Extraction—0
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints—0
Two Knives Cut Better Than One: Chinese Word Segmentation with Dual Decomposition—0
Parsing Chinese Synthetic Words with a Character-based Dependency Model—0
Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese—0
Why Chinese Web-as-Corpus is Wacky? Or: How Big Data is Killing Chinese Corpus Linguistics—0
Automatic Refinement of Syntactic Categories in Chinese Word Structures—0
Radical-Enhanced Chinese Character Embedding—0
Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging—0
Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields—0
Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing—0
A Study of the Effectiveness of Suffixes for Chinese Word Segmentation—0
Context-Based Chinese Word Segmentation using SVM Machine-Learning Algorithm without Dictionary Support—0
A Common Case of Jekyll and Hyde: The Synergistic Effect of Using Divided Source Training Data for Feature Augmentation—0
Feature-based Neural Language Model and Chinese Word Segmentation—0
Human-Computer Interactive Chinese Word Segmentation: An Adaptive Dirichlet Process Mixture Model Approach—0
Chinese Word Segmentation by Mining Maximized Substrings—0
Can MDL Improve Unsupervised Chinese Word Segmentation?—0
Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning—0
An Empirical Study Of Semi-Supervised Chinese Word Segmentation Using Co-Training—0
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