| 摘要 | 第1-7页 |
| Abstract | 第7-16页 |
| Chapter 1 Introduction | 第16-21页 |
| ·Background of this study | 第16-17页 |
| ·Objectives of the present study | 第17-18页 |
| ·Rationale of the study | 第18-19页 |
| ·Outline of the present study | 第19-21页 |
| Chapter 2 Literature Review | 第21-28页 |
| ·Studies abroad | 第21-24页 |
| ·Studies in China | 第24-28页 |
| Chapter 3 Methodology and Data Collection | 第28-31页 |
| ·Theoretical foundation of the current study | 第28页 |
| ·Research method and data collection | 第28-31页 |
| Chapter 4 An Overview of Word Sense Disambiguation | 第31-43页 |
| ·Ambiguity | 第31-36页 |
| ·Definition of ambiguity | 第31-32页 |
| ·Classification of ambiguity | 第32-33页 |
| ·Homonymy | 第32-33页 |
| ·Polysemy | 第33页 |
| ·Influencing factors of ambiguity | 第33-36页 |
| ·Semantic factors | 第33-34页 |
| ·Structural factors | 第34页 |
| ·Contextual factors | 第34页 |
| ·World knowledge | 第34-35页 |
| ·Cultural factors | 第35-36页 |
| ·Ambiguity of modality | 第36-37页 |
| ·Word sense disambiguation in natural language processing | 第37-40页 |
| ·Overview of natural language processing | 第37-39页 |
| ·Word sense disambiguation | 第39-40页 |
| ·Current approaches to word sense disambiguation | 第40-42页 |
| ·Summary | 第42-43页 |
| Chapter 5 Working Mechanism of Artificial Neural Network | 第43-55页 |
| ·Connectionism and symbolism | 第43-46页 |
| ·What is an artificial neural network? | 第46页 |
| ·The biological prototype of artificial neural network | 第46-48页 |
| ·Artificial Neural Network Model | 第48-51页 |
| ·Artificial Neuron Model | 第48-49页 |
| ·The structure of an artificial neural network model | 第49-51页 |
| ·The learning ability of an artificial neural network | 第51-52页 |
| ·Features of artificial neural network | 第52-53页 |
| ·Summary | 第53-55页 |
| Chapter 6 Sense Division of English Modal Verbs | 第55-63页 |
| ·Typology of English modal verbs | 第55-59页 |
| ·Why is May | 第59-60页 |
| ·Classification of English modal verb may | 第60-62页 |
| ·Summary | 第62-63页 |
| Chapter 7 Description of the Process of Word Sense Disambiguation | 第63-76页 |
| ·General description of construction of WSD model | 第63-64页 |
| ·Sense division of may | 第64页 |
| ·Construction of a sense-tagged corpus of may | 第64-67页 |
| ·Construction of a raw corpus | 第65-66页 |
| ·Construction of training set and testing set | 第66页 |
| ·Manual tagging corpus | 第66-67页 |
| ·Feature representation | 第67-71页 |
| ·Analysis of context | 第67-71页 |
| ·Mining of Features from Context | 第68-70页 |
| ·Mutual Information | 第70-71页 |
| ·Construction of an artificial neural network as a WSD classifier | 第71-74页 |
| ·Further studies | 第74-75页 |
| ·Summary | 第75-76页 |
| Chapter 8 Conclusion | 第76-79页 |
| References | 第79-86页 |
| Appendix I | 第86-88页 |
| Appendix II | 第88-90页 |
| Appendix III | 第90-91页 |
| Acknowledgements | 第91-92页 |
| 作者简介 | 第92页 |
