Domain Neural Chinese Word Segmentation with Mutual Information and Entropy
Abstract
References
Index Terms
- Domain Neural Chinese Word Segmentation with Mutual Information and Entropy
Recommendations
Domain-specific Chinese word segmentation using suffix tree and mutual information
As the amount of online Chinese contents grows, there is a critical need for effective Chinese word segmentation approaches to facilitate Web computing applications in a range of domains including terrorism informatics. Most existing Chinese word ...
An integrated approach to chinese word segmentation and part-of-speech tagging
ICCPOL'06: Proceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges aheadThis paper discusses and compares various integration schemes of Chinese word segmentation and part-of-speech tagging in the framework of true-integration and pseudo-integration. A true-integration approach, named ‘the divide-and-conquer integration', ...
Chinese Word Segmentation Based on Maximum Entropy
RSVT '19: Proceedings of the 2019 International Conference on Robotics Systems and Vehicle TechnologyChinese word segmentation has received extensive attention in recent years. The word segmentation method based on character-based tagging improves the performance of word segmentation greatly. This method transforms the word segmentation problem into a ...
Comments
Information & Contributors
Information
Published In

In-Cooperation
- Shanghai Jiao Tong University: Shanghai Jiao Tong University
- The Hong Kong Polytechnic: The Hong Kong Polytechnic University
- University of Malaya: University of Malaya
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 94Total Downloads
- Downloads (Last 12 months)3
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in