臺灣博碩士論文加值系統

全球英語的重要性逐漸的興起。為了使學術研究以及產業工作能夠更容易的融入國際語言當中，因此語言與資訊科技結合發展出電腦輔助翻譯（Computer-Assisted Translation），本研究針對電腦輔助翻譯錯誤之更正－以Google Translation為例，嘗試著分析與解決其所經常出現的錯誤處，並針對其中關鍵的錯誤給予更正建議。
本研究一共分為三個階段，在第一階段共收集了11萬句中英對照的例句，最後利用ASP程式語法將其自動排列為CSV檔案的格式。第二階段則是進行中英對照10萬句的統計，以其為樣本利用史丹佛剖析器(Stanford parser)來將英文轉換為特定的句型標記。統計出各種不同的句型之後將其分門別類的計算其錯誤率。並針對錯誤的句型下去做分析。第三階段將利用SQL的功能，將其英文與中文分別輸入到資料庫中，並且依照英文單詞與中文單詞分別儲存起來進行資料的分析與彙整。
實驗的結果我們發現，使用了我們所制定的規則，可以將中文錯位的問題從約43%降低至13%左右。而除了使用我們提出的方法可以有效的降低翻譯的錯誤率以外，另外我們也在結論的地方提出其它領域的建議來結合電腦輔助翻譯使其翻譯的正確率能夠更加的提升。

As a hegemonic language, English plays an important role in the global research and business. Therefore "Computer- assisted Translation", combines language with information technology was created to assist for international exchanges. This study takes "Google Translation" as an example and tries to analyze which major factors causes improper translation.
This study is divided into three steps. (1) we collect 110 thousands Chinese-English bilingual-translation sentences, and use ASP.NET to transfer them to CSV files. (2)we parse these sentences by using the Stanford parser, and separate them into several models. We then try to analyze these different models, and calculate the "uncorrected-translating rate". (3) we use SQL and input these English and Chinese sentences, and do further analysis by Chinese and English terms.
The experimental results indicate our method can efficiently reduce the "uncorrected-translating rate,", from 43% decreased to 13%.

摘要 I
ABSTRACT II
誌謝 III
目錄 IV
表目錄 V
圖目錄 VI
壹、 前言 1
貳、 文獻探討 3
一、 電腦輔助翻譯之重要性與需求 3
二、 電腦輔助翻譯過去的研究 4
參、 研究方法 7
一、 第一階段研究 8
二、 第二階段研究 12
三、 第三階段研究 21
肆、 結果與討論 23
一、 STANFORD PARSER句型的分析 23
二、 套用規則量化之分析 25
伍、 結論 29
一、 結論 29
二、 研究貢獻 30
三、 建議 30
參考文獻 32

一、英文部分
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[2]Y. Yazhi, ” An Ontology-based Translation Memory Model in Localization Translation,” Information Science and Engineering (ISISE), 2010 International Symposium on, pp 340-344, 2010.
[3]W. Ying, L. Youli, “Computer Aided Management of Bilingual Course Materials”, 2010 International Conference on E-Business and E-Government, pp5399-5401, 2010.
[4]S. Le, Z. Yibo, Z. Junlin, S. Yufang, ” PECAT: A COMPUTER-AIDED TRANSLATION TOOL BASED ON BILINGUAL CORPORA,” Systems, Man, and Cybernetics, 2001 IEEE International Conference on, pp 927-932, 2001.
[5]M. Kay, ”The Proper Place of Men and Machines in Language Translation,” Machine Translation, pp 3-23, 1997.
[6]M. Elliot and Russell Graham, ”What''s been Forgotten in Translation Memory,” AMTA ''00 Proceedings of the 4th Conference of the Association for Machine Translation in the Americas on Envisioning Machine Translation in the Information Future, pp 137-146, 2000.
[7]M. Kay. ”The MIND system,” Natural Language Processing, pp 55-188, 1973.
[8]P. Langlais,G. Foster, G. Lapalme, ”TransType: a computer-aided translation typing system,” ANLP Workshop on Embedded Machine Translation System.”, pp 46-51, 2000
[9]P. Langlais,S. Sauve,G. Foster,S. Sauve, E. Macklovitch, G. Lapalme ”Evaluation of TransType, a Computer-aided Translation Typing System: A comparison of theoretical - and user-oriented evaluation procedures,” Proceedings of Second International Conference on Language Resources and Evaluation., pp 641-648, 2002.
[10]B. Esselink, A Practical Guide to Localization. Amsterdam and Philadelphia:John Benjamin''s Publishing Company, 2000.
[11]C. Wang and Q. Cui, "professional training and certification of competent translators and the development of localized translation industry," CHinese Tranlsators Journal, vol.31, pp. 79-79, aug. 2010.
[12]M. Ricklefs and E. Blomqvist, "Ontology-based relevance assessment: and evaluation of different semactic similarity measures," Lecture Notes in Computer Sceience, vol.5332, pp1235-1252, 2008.
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[14]A. Trujillo, "translation Engines: Techniques for Machine Translation," Springer-Verlag Series on Applied Computing, 1999.
[15]F. Debili and E. Sammouda, "Appariement des Phrases des Texts Bilingues," Proc. 14th International Conference on Computational Linguistics, 1992.
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[17]H. Papageorgious, L. Cranias, and S. Piperidis, "Automatic Alignment in Parallel Corpora," Proc. 32nd Annual Meeting of the Association for Computational Linguistics, 1994.
二、中文部分
[18]叶娜、張桂平、韓亞冬、蔡東風，2011，基于用戶行為模型的計算機輔助翻譯方法，第二十五卷，第一期，頁99-103。
[19]馬會娟，2003，奈達翻譯理論研究（英文本），北京外語教學與研究出版社。