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A Comparative Study of Rule-based and Statistical-based Machine Translation Models

Abstract第4-5页
摘要第6-11页
Chapter One Introduction第11-15页
    1.1 Research Background第11-13页
    1.2 Research Goal第13-14页
    1.3 Structure of the Thesis第14-15页
Chapter Two Literature Review第15-36页
    2.1 MT Developments第15-27页
        2.1.1 Direct and indirect approaches第15-19页
        2.1.2 Corpus-based approaches第19-27页
    2.2 MT Evaluation第27-32页
    2.3 Translation Standards第32-33页
    2.4 MT Related Linguistic Aspects第33-36页
Chapter Three MT Methodologies第36-49页
    3.1 Rule-based Machine Translation Model第36-40页
        3.1.1 Working process of RBMT model第36-38页
        3.1.2 Architecture of RBMT system第38-40页
    3.2 Statistical-based Machine Translation Model第40-45页
        3.2.1 Working Process of SBMT model第41-44页
        3.2.2 Architecture of SBMT system第44-45页
    3.3 Comparison of Two MT Models第45-49页
Chapter Four Research Design第49-54页
    4.1 Evaluation Methodologies第49-50页
    4.2 MT Systems for Evaluation第50-52页
        4.2.1 SYSTRANet system第50-51页
        4.2.2 Google Translate第51-52页
    4.3 Source Materials for Evaluation第52-54页
Chapter Five Analytical Study of MT Systems第54-84页
    5.1 Quantitative Study第54-71页
        5.1.1 Automatic evaluation第54-62页
        5.1.2 Human evaluation第62-71页
    5.2 Qualitative Study第71-84页
        5.2.1 On attributive clause第72-78页
        5.2.2 On comparative structure第78-84页
Chapter Six Conclusion第84-88页
    6.1 Findings第84-86页
    6.2 Suggestions第86页
    6.3 Limitations第86-88页
Acknowledgement第88-89页
Bibliography第89-95页
攻硕期间取得的研究成果第95-96页
Appendix第96-101页

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