博碩士論文 975202049 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:12 、訪客IP:35.173.57.84
姓名 江一杰(Yi-Chieh Chiang)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 漢字發音系統之音韻關聯規則探勘
(Phonetic Association rule discovery for Chinese Character Pronunciation system)
相關論文
★ 應用自組織映射圖網路及倒傳遞網路於探勘通信資料庫之潛在用戶★ 基於社群網路特徵之企業電子郵件分類
★ 社群網路中多階層影響力傳播探勘之研究★ 以點對點技術為基礎之整合性資訊管理 及分析系統
★ 在分散式雲端平台上對不同巨量天文應用之資料區域性適用策略研究★ 應用資料倉儲技術探索點對點網路環境知識之研究
★ 從交易資料庫中以自我推導方式探勘具有多層次FP-tree★ 建構儲存體容量被動遷徙政策於生命週期管理系統之研究
★ 應用服務探勘於發現複合服務之研究★ 利用權重字尾樹中頻繁事件序改善入侵偵測系統
★ 有效率的處理在資料倉儲上連續的聚合查詢★ 入侵偵測系統:使用以函數為基礎的系統呼叫序列
★ 有效率的在資料方體上進行多維度及多層次的關聯規則探勘★ 在網路學習上的社群關聯及權重之課程建議
★ 在社群網路服務中找出不活躍的使用者★ 利用階層式權重字尾樹找出在天文觀測紀錄中變化相似的序列
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 漢語是一種困難學習的語言,因為漢語不是拼音文字,光是要認識每個字的發音就很困難,所以希望為華文學習者設計一套較為方便的學習方法,並且提供編寫教材的人員參考。因此需要大量的漢字資料,於是選擇使用漢字構型資料庫的形聲字且有注音的部分,因為形聲字佔漢字的百分之九十以上,並且形聲字拆成形符與聲符,漢語初學者可以判斷聲符去聯想一個字的發音。將漢字構形資料庫的文字透過漢語大辭典查詢所有的異音,再藉由與中文學專家的合作,由中文學的專家標定每一組形聲字的聲符,接著再利用資料探勘領域的多層關聯規則探勘方法(Multilevel Association Rules Mining),探勘出聲符對形聲字的規則,並且使用者可以自由選擇觀察不同的層次,可以不只觀察到讀音這個層次,更可以看到聲母、韻母、聲調層次還有音素層次,再分析這些規則的分布性與影響力,選擇一些好的規則,提供建議給學習者作為起步的文字。
摘要(英) Chinese is a difficult language to learn, because of Chinese is not alphabetic writing it is very hard to know the pronunciation of each word. So we hope to design a more convenient way of learning for the Chinese beginners and provide to officers on the edition of teaching materials. Therefore we require a lot of Chinese characters, so we choose to use part of the "Chinese Character Component Searching System of Academia Sinica" has the form of phonetic sound of the pictophonetic characters. Chinese beginners can determine from phonetic complement to the pronunciation of a word, because of pictophonetic characters are accounted for more than 90 percent of Chinese characters that are general used and formed by phonetic complement and semantic complement. Check all the words’ different Pronunciation through "Hanyu Da Cidian", and then marked by the experts in the literature and confirm the phonetic complement. Afterwards to use multilevel association rule mining to mine the rules of pictophonetic characters to words. Users can choose specified level to observe the effect of not only the pronunciation level, but also initials, vowels, tones level and phonemes level. Final we can suggest some words to the beginners.
關鍵字(中) ★ 漢語音韻
★ 關聯規則探勘
關鍵字(英) ★ chinese phonetic
★ association rule mining
論文目次 Chapter 1 Introduction 1
Chapter 2 Related Work 4
Chapter 3 Architecture 7
3.1 Preprocessing 8
3.2 Construct Concept Hierarchy 10
3.3 Rule Discovery 12
Chapter 4 Rule Mining for Chinese phonetic 14
4.1 Multilevel Association Rule Mining 14
4.1.1 Association Rule Mining 15
4.1.2 Multilevel Association Rule Mining 16
4.2 Rule Presentation 28
4.2.1 Rule Generation 28
4.2.2 Rule Explanation 30
Chapter 5 Experiment result 32
5.1 Data Set 32
5.2 Rule Analysis 35
5.2.1 Comparison of the Number of Rules 35
5.2.2 Rule Analysis 46
Chapter 6 Conclusion 48
Reference 49
參考文獻 [1] Shen X., “Origin of Chinese Character,”100. (說文解字.敘 , 許慎)
[2] http://cdp.sinica.edu.tw/cdphanzi/ , Chinese Character Component Searching System of Academia Sinica.
[3] Hanyu da zidian weiyuanhui 漢語大字典委員會, Hanyu da zidian 漢語大字典 ("Comprehensive Chinese Character Dictionary"), 8 vols., Hubei cishu chubanshe and Sichuan cishu chubanshe, 1986-1989.
[4] Agrawal R.and Srikant R., "Fast algorithm for mining association rules, " by Proc. of 1994 Int. Conf.on Very Large Data Bases (VLDB'94), pages 487-499, Santiago, Chile, Sept. 1994.
[5] Klemettinen M., Mannila H., Ronkainen P., Toivonen H., and Verkamo I., "Finding interesting rules from large sets of discovered association rules, " by Proc. 3rd Int. Conf. Information and Knowledge Management (CIKM'94), pages 401-408, Gaithersburg, MD, Nov. 1994.
[6] Han J., Pei J., and Yin Y., "Mining frequent patterns without candidate generation, “ by Proc. 2000 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD'00), pages 1-12, Dallas, TX, May 2000.
[7] Meng-Feng Tsai and Yi-Ming Lee, "Mining Self-derivable Multilevel FP-tree From a Transactional Database", National Central University, Taiwan, Master Thesis, 2006.
[8] Jiawei H., Yongjian F., "Discovery of Multiple-Level Association Rules from Large Databases, " by Proc. of 1995 Int'l Conf. on Very Large Data Bases (VLDB'95).
[9] Jiawei H. and Micheline K., Data Mining: Concepts and Techniques, 2nd ed. pages 228-231, Morgan Kaufmann Publishers, March 2006.
[10] http://140.115.52.39/chinaweb/rule.html
指導教授 蔡孟峰(Meng-Feng Tsai) 審核日期 2010-8-20
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明