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| Title: | 以範例為基礎之英漢TIMSS詴題輔助翻譯
Using Example-based Translation Techniques for Computer Assisted Translation of TIMSS Test Items |
| Authors: | 張智傑
Chang, Chih Chieh |
| Contributors: | 劉昭麟
Liu, Chao Lin
張智傑
Chang, Chih Chieh |
| Keywords: | 自然語言處理
試題翻譯
機器翻譯
Natural language processing
Item translation
Machine translation
TIMSS |
| Date: | 2008 |
| Issue Date: | 2009-09-17 14:04:36 (UTC+8) |
| Abstract: | 本論文應用以範例為基礎的機器翻譯技術，應用英漢雙語對應的結構輔助英漢單句語料的翻譯。翻譯範例是運用一種特殊的結構，此結構包含來源句的剖析樹、目標句的字串、以及目標句和來源句詞彙對應關係。將翻譯範例建立資料庫，以提供來源句作詞序交換的依據，接著透過字典翻譯，以及利用統計式中英詞彙對列和語言模型來選詞，最後填補缺少的量詞，產生建議的翻譯。我們是以2003年國際數學與科學教育成就趨勢調查測驗詴題為主要翻譯的對象，以期提升翻譯的一致性和效率。以NIST 和BLEU 的評比方式，來評估和比較Google Translate 和Yahoo!線上翻譯系統及本系統所達成的翻譯品質。我們的系統經過詞序調動以及填補量詞後，翻譯品質比我們前一代系統要佳，但整體效果沒有比Google Translate 和Yahoo!線上翻譯的品質要佳。
This paper presents an example-based machine translation based on bilingual structured string tree correspondence (BSSTC). The BSSTC structure includes a parse tree in source language, a string in target language and the correspondence between the source language tree and the target language string.
<br>We designed an English to Chinese computer assisted translation system for Trends in International Mathematics and Science Study (TIMSS), through the BSSTC structure reordering, directory translation, choosing translation statistics model and measure word generation.<br>We evaluated our system by the BLEU and NIST score and compared with Google Translate and Yahoo! Translate. By reordering selected word sequences and inserting measure words in the default translations, the current system achieved a higher quality of default translations than the previous implementation of our research group, but the overall effects still lag behind that achieved by Google and Yahoo!. |
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| Description: | 碩士
國立政治大學
資訊科學學系
95753012
97 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0095753012 |
| Data Type: | thesis |
| Appears in Collections: | [資訊科學系] 學位論文
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