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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
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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