| 1 Introduction | 第1-13页 |
| ·A Brief History of Machine Translation | 第7-9页 |
| ·The Importance of Machine Translation | 第9-10页 |
| ·Machine Translation in A Nutshell | 第10-13页 |
| 2 Parsing and Prepositional Phrase Attachment Problem | 第13-23页 |
| ·Traditional Parsing Theories | 第13-19页 |
| ·Prepositional Phrase Attachment Problem | 第19-23页 |
| 3 A Rule-based Solution to PPAP | 第23-38页 |
| ·Preference-based Approaches | 第24-26页 |
| ·A Tentative Semantic Preference Model | 第26-29页 |
| ·A Practical Analysis | 第29-33页 |
| ·Automatic Retrieval of Rules | 第33-38页 |
| 4 Dealing with Sparse Data | 第38-43页 |
| ·Backed-off N-Gram Model | 第38-42页 |
| ·Smoothing by Similar Context | 第42-43页 |
| 5 Conclusion and Future Development | 第43-45页 |
| Bibliography | 第45-48页 |
| Appendix | 第48-56页 |
| 1 First 100 rules trained | 第48-52页 |
| 2 Remaining 63 Wrong Attachments to Noun | 第52-54页 |
| 3 36 Wrong Attachments to Verb | 第54-56页 |
