声明
Chapter 1. INTRODUCTION
1.1 Background
1.2 Problem to Be Studied and Its Important
1.3 Scope of study
1.4 Methodologies adopted to meet the project objectives
1.5 Thesis Outline
Chapter 2. BASIC CONCEPT AND RELATED WORK
2.1 Basic Concept
2.2 Classification of Chinese word segmentation technology
2.3 Models used by Chinese word segmentation
2.3.1Recurrent Neural Network (RNN) Model
2.3.2 Long Short Term Memory (LSTM) Model
2.3.3Conditional Random Field (CRF) Model
2.3.4 Bi-Directional Long Short Term Memory (LSTM)
2.4 State of the art
CHAPTER 3:APPROACH FOR CHINESE WORD SEGMENTATION USED BY US
3.1Word tagging
3.2 In-Deep understanding
3.3 CRF Model
Chapter 4.IMPLEMENTATION
4.1 Architecture
4.2 Programming Design
4.2.1 RNN program
4.2.2CRF program
Chapter 5.Experimentsand Results Analysis
5.1 Experiments
5.1.1 Experimental platformand dataset
5.1.2 Training
5.1.3 Evaluating
5.1.4Predicting or Testing
5.1.5 Parameters Details
5.2 Results
Chapter 6.CONCLUSION
参考文献
致谢
东华大学;
