政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/49473

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/49473

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113303/144284 (79%)
Visitors : 50834810 Online Users : 812

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Scope

please add "double quotation mark" for query phrases to get precise results

please goto advance search for comprehansive author search

Adv. Search

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

Goto mobile version

政大典藏 > College of Informatics > Department of Computer Science > Theses > Item 140.119/49473

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/49473

Title:	以共現資訊為基礎增進英漢翻譯對列改進方法 Using Co-Occurrence Information for Alignment Improvement in English-Chinese Translation
Authors:	黃昭憲 Huang,Chao Shainn
Contributors:	劉昭麟 Liu,Chao Lin 黃昭憲 Huang,Chao Shainn
Keywords:	詞彙對列電腦輔助翻譯遺留字詞新詞對擷取
Date:	2009
Issue Date:	2010-12-08 12:08:43 (UTC+8)
Abstract:	本論文承接呂明欣和張智傑兩位原有的翻譯系統，主要針對詞彙對列模組來進行改善，進而增進詞序範例樹之精確率和數量，以建立高品質的詞序範例樹資料庫，提升整體的翻譯品質。　　我們選用國民中學、高級中學和科普雜誌，這三種在句法結構和用字遣詞皆有所差異的中英文平行語料，先透過斷詞系統進行前處理，接著藉由辭典檔索引其相對應之翻譯字詞，以進行中英文詞彙之間的對列，其中更採用了原詞還原和同義詞擴充，來對原始的字詞進行補強。並且將對列完畢之後的遺留字詞，重新搭配組合，以一個中文字詞為基礎，分別對應一個英文字詞和對應多個英文字詞兩種搭配方式，並透過分析公式篩選出可信度較高的新詞對，以便擴充原始的辭典檔，使得詞彙對列模組達到更好的效果。　　在評估方面，以不同英文程度的平行語料當作訓練資料，將國際數學與科學教育成就趨勢調查測驗試題當做翻譯對象，利用NIST和BLEU當作評比的標準進行評估。實驗結果顯示，我們所提出的想法有助於提升詞彙對列的效果，並且可以產生更多的詞序範例樹以供翻譯系統進行詞序調動，並提升輔助式翻譯系統的翻譯品質。 This research continues the translation systems designed by Ming-Shin Lu and Chih-Chieh Chang. We mainly ameliorate the word alignment and create high-quality databases of reordering tree to improve the quality in translation. 　　In this paper, we explore the possibility of finding alignments for words that are not aligned by methods that employ only information about word translations from English and Chinese dictionaries. With the proposed methods, we were able to align chunks of words between English and Chinese, not limiting to just word-to-word alignment. 　　In evaluation, parallel corpuses with different degrees for English are used as training data. In addition, Trends in International Mathematics and Science Study questions are chosen as testing data. The evaluation is performed by exploiting NIST and BLEU as standards. The experimental results show that the proposed method enhances the effect of word alignment. Also, it can generate more reordering tree for bilingual structured string tree corredpondence. Besides, the translation quality of assisted translation system will increase by using our method.
Reference:	[1] 三民學習網, http://www.grandeast.com.tw/Englishsite/ [Last visited on 2010/05/26]. [2] 中央研究院中文斷詞系統, http://ckipsvr.iis.sinica.edu.tw/ [Last visited on 2010/05/26]. [3] 牛津現代英漢雙解辭典, http://stardict.sourceforge.net/Dictionaries_zh_TW.php [Last visited on 2010/05/26]. [4] 田侃文，英漢專利文書文句對列與應用，國立政治大學資訊科學所，碩士論文， 2009。 [5] 呂明欣，電腦輔助試題翻譯：以國際數學與科學教育成就調查為例，國立政治大學資訊科學所，碩士論文， 2007。 [6] 狄克生片語, http://203.68.17.29/kevin/EteachWeb/DIXON/ [Last visited on 2009/11/10]. [7] 哈工大訊息檢索實驗室同義詞詞林擴充版, http://www.nlp.org.cn/docs/doclist.php?cat_id=9&type=7 [Last visited on 2010/05/26]. [8] 英文諺語, http://www.eng.fju.edu.tw/etc/quiz/proverbs.htm [Last visited on 2010/05/26]. [9] 科學人雜誌中英對照電子書, http://edu2.wordpedia.com/taipei_sa/ [Last visited on 2010/05/26]. [10] 旋元佑文法, http://tw.myblog.yahoo.com/jw!GFGhGimWHxN4wRWXG1UDIL_XSA--/ [Last visited on 2010/05/26]. [11] 基礎英文1200句, http://hk.geocities.com/cnlyhhp/eng.htm [Last visited on 2010/05/26]. [12] 國民中學學習資源網, http://140.111.34.172/teacool/new_page_2.htm [Last visited on 2010/05/26]. [13] 教育部委託宜蘭縣發展九年一貫課程建智語文學習領域（英文）國中教科書補充資料暨題庫建置計畫, http://140.111.66.37/english/ [Last visited on 2010/05/26]. [14] 曾元顯、劉昭麟和莊則敬，專利雙語語料之中、英對照詞自動擷取，第二十一屆自然語言與語音處理研討會論文集，279–292， 2009。 [15] 梅家駿、竺一鳴和高蘊琦，同義詞詞林，上海：上海詞書出版社， 1983 [16] 張智傑，以範例為基礎之英漢TIMSS試題輔助翻譯，國立政治大學資訊科學所，碩士論文， 2007。 [17] 趙紅梅、劉群、張瑞強、呂雅娟、隅田英一郎和吳翠玲，漢英詞語對齊規範，中文信息學報第23卷第3期， 2009。 [18] M. H. Bai, J. M. You, K. J. Chen and J. S. Chang, Acquiring Translation Equivalences of Multiword Expressions by Normalized Correlation Frequencies, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 478–486, 2009. [19] CEDICT漢英電子字典檔, http://us1.mdbg.net/chindict/chindict.php [Last visited on 2010/05/26]. [20] J. S. Chang and M. H. Chen, An Alignment Method for Noisy Parallel Corpora based on Image Processing Techniques, Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, 297–304, 1997. [21] D. Chiang, A Hierarchical Phrase-Based Model for Statistical Machine Translation, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, 263–270, 2005. [22] G. Doddington, Automatic Evaluation of Machine Translation Quality Using N-gram Co-occurrence Statistics, Proceedings of the Second International Conference on Human Language Technology Research, 138–145, 2002. [23] Dr.eye譯典通線上辭典, http://www.dreye.com:8080/axis/ddict.jsp [Last visited on 2010/05/26]. [24] S. J. Ker and J. S. Chang, A Class-based Approach to Word Alignment, Computational Linguistics, Vol. 23, No. 2, 313–343, 1997. [25] S. Le, J. Youbing, D. Lin and S. Yufang, Word Alignment of English-Chinese Bilingual Corpus Based on Chunks, Proceedings of the 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 110–116, 2000. [26] Y. Ma, N. Stroppa and A. Way, Bootstrapping Word Alignment via Word Packing, Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, 304–311, 2007. [27] Y. Ma, S. Ozdowska, Y. Sun and A. Way, Improving Word Alignment Using Syntactic Dependencies, Proceedings of the Second Workshop on Syntax and Structure in Statistical Translation, 69–77, 2008. [28] C. D. Manning and H. Schutze, Foundations of Statistical Natural Language Processing, The MIT Press, 1999. [29] C. D. Manning, P.Raghavan and H. Schutze, Introduction to Information Retrieval, Cambridge University Press, 2008. [30] R. Mihalcea and T. Pedersen, An Evaluation Exercise for Word Alignment, Proceedings of the HLT-NAACL 2003 Workshop on Building and Using Parallel Texts: Data Driven Machine Ttranslation and Beyond, 1–10, 2003. [31] F. J. Och, An Efficient Method for Determining Bilingual Word Classes, In 9th Conference of the European Chapter of the Association for Computational Linguistics, 71–76, 1999. [32] F. J. Och and Hermann Ney, Improved Statistical Alignment Models, Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics, 440–447, 2000. [33] K. Papineni, S. Roukos, T. Ward, and W. J. Zhu, BLEU: A Method for Automatic Evaluation of Machine Translation, Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 311–318, 2002. [34] M. F. Porter, An Algorithm for Suffix Stripping, Program, 130–137, 1980. [35] D. Ren, H. Wu and H. Wang, Improving Statistical Word Alignment With Various Clues, In Proceedings of Machine Translation Summit XI, 391–397, 2007. [36] SRILM, http://www.speech.sri.com/projects/srilm/ [Last visited on 2010/05/26]. [37] The International Association for the Evaluation of Education Achievement, http://www.uea.nl/ [Last visited on 2010/05/26]. [38] The Stanford Parser: A statistical parser, http://nlp.stanford.edu/software/lex-parser.shtml [Last visited on 2010/05/26]. [39] TIMSS國際數學與科學教育成就趨勢調查, http://timss.sec.ntnu.edu.tw/timss2007/news.asp [Last visited on 2010/05/26]. [40] M. Utiyama and H. Isahara, A Japanese-English Patent Parallel Corpus, Proceedings of the Eleventh Machine Translation Summit, 475–482, 2007. [41] D. Wu, Grammarless Extraction of Phrasal Translation Examples from Parallel Texts, Proceedings of the Sixth International Conference on Theoretical and Methodological Issues in Machine Translation, 354–372,1995. [42] WordNet API, http://wordnet.princeton.edu/ [Last visited on 2010/05/26].
Description:	碩士國立政治大學資訊科學學系 97753007 98
Source URI:	http://thesis.lib.nccu.edu.tw/record/#G0097753007
Data Type:	thesis
Appears in Collections:	[Department of Computer Science ] Theses

Files in This Item:

File	Size	Format
300701.pdf	8144Kb	Adobe PDF2	1089	View/Open

All items in 政大典藏 are protected by copyright, with all rights reserved.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

DSpace Software Copyright © 2002-2004 MIT & Hewlett-Packard / Enhanced by NTU Library IR team Copyright © - Feedback