簡易檢索 / 詳目顯示

研究生: 許湘翎
Hsu, Hsiang Ling
論文名稱: 自動擷取修辭類型之常用句型以協助學術英文寫作
Mining Common Sentential Patterns for Rhetoric Functions in Academic Writing
指導教授: 張俊盛
Jason S. Chang
口試委員: 蘇以文
陳浩然
徐嘉連
柯淑津
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊系統與應用研究所
Institute of Information Systems and Applications
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 58
中文關鍵詞: 句法句型修辭文步協助寫作系統
外文關鍵詞: Sentential patterns,, Rhetoric moves, Assist writing system
相關次數: 點閱:3下載:0
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 我們提出了一個新的方法,能夠從語料庫中擷取出代表性的句法句型,用以幫助 英文為第二語言的學習者學術英文寫作。在我們的方法中,句子被轉變成句型以 統計分析和過濾,並標記相關的修辭文步。我們的方法包含了,在給定的語料庫 之中為每個句子標記上詞性和基礎片語的資訊,將句子轉換成公式化的句型,並 依照內容相關的關鍵字(動詞或名詞)來過濾出較顯著突出的句型。我們將整理 出的句法展示在一個互動式的寫作環境,WriteAhead,能夠依據使用者輸入的文 字立刻顯示相關的句法,以達到我們幫助學習者英文寫作的目標。


    We introduce a new method for extracting representative sentential patterns from a corpus for the purpose of assisting ESL learners in academic writing. In our approach, sentences are transformed into patterns for statistical analysis and filtering, and then are annotated with relevant rhetoric moves. The method involves annotating every sentence in a given corpus with part of speech and base phrase information, converting the sentence into formulaic patterns, and filtering salient patterns for key content words (verbs and nouns). We display the patterns in the interactive writing environment, WriteAhead, to prompt the user as they type away.

    Abstract i 􏰀􏰁 i Acknowledgments ii Contents iv List of Figures v List of Tables vi 1 Introduction 1 2 Related Work 6 2.1 AnalysisofStructureofRearchArticles . . . . . . . . . . . . . . . . 7 2.2 IdentifyingMovesasTextClassification . . . . . . . . . . . . . . . . 8 3 Method 11 3.1 ProblemStatement............................ 11 3.2 Transforming Sentences into Sentential Patterns . . . . . . . . . . . . 13 3.2.1 ExtractingCandidatePatterns. ................. 13 iii 3.2.2 GroupingPatternsbyCategories. ................ 16 3.2.3 Sorting and Annotating Sentential Patterns. . . . . . . . . . . 18 3.3 Run-Time................................. 18 4 Evaluation 20 4.1 ExperimentalSetting........................... 20 5 Conclusion and Future Work 23 Appendices 24 A.ExampleExtractedCandidates ...................... 25 B.TopSyllableAlignmentResults. ...................... 34 References ...................... 56

    Anthony, L., & Lashkia, G. V. (2003). Mover: A machine learning tool to assist in the reading and writing of technical papers. Professional Communication, IEEE Transactions on, 46(3), 185–193.
    Connor, U. (1996). Contrastive rhetoric: Cross-cultural aspects of second language writing. Cambridge University Press.
    Connor, U., & Mauranen, A. (1999). Linguistic analysis of grant proposals: Euro- pean union research grants. English for specific purposes, 18(1), 47–62. Cooper, C. (1985). Aspects of article introductions in ieee publications. Unpublished
    master’s thesis, University of Aston, Birmingham, England.
    Crookes, G. (1986). Towards a validated analysis of scientific text structure. Applied
    linguistics, 7(1), 57–70.
    Dudley-Evans, T. (1994). Genre analysis: An approach to text analysis for esp.
    Advances in written text analysis, 219, 228.
    Graddol, D. (1997). The future of english?: A guide to forecasting the popularity
    of the english language in the 21st century.
    Hill, S. S., Soppelsa, B. F., & West, G. K. (1982). Teaching esl students to read
    and write experimental-research papers. TESOL quarterly, 16(3), 333–347.
    Hinds, J. (1990). Inductive, deductive, quasi-inductive: Expository writing in japanese, korean, chinese, and thai. Coherence in writing: Research and ped-
    agogical perspectives, 87–110.
    Hirohata, K., Okazaki, N., Ananiadou, S., Ishizuka, M., & Biocentre, M. I. (2008).
    Identifying sections in scientific abstracts using conditional random fields. In
    Ijcnlp (pp. 381–388).
    Hopkins, A. (1985). An investigation into the organizing and organizational features
    of published conference papers. unpublished MA dissertation, University of
    Birmingham.
    Lin, J., Karakos, D., Demner-Fushman, D., & Khudanpur, S. (2006). Generative
    content models for structural analysis of medical abstracts. In Proceedings of the hlt-naacl bionlp workshop on linking natural language and biology (pp. 65–72).
    McKnight, L., & Srinivasan, P. (2003). Categorization of sentence types in medical abstracts. In Amia annual symposium proceedings (Vol. 2003, p. 440).
    Samraj, B. (2002). Introductions in research articles: Variations across disciplines. English for specific purposes, 21(1), 1–17.
    Samraj, B. (2005). An exploration of a genre set: Research article abstracts and introductions in two disciplines. English for specific purposes, 24(2), 141–156.
    Shimbo, M., Yamasaki, T., & Matsumoto, Y. (2003). Using sectioning information for text retrieval: a case study with the medline abstracts. In Proceedings of second international workshop on active mining (am’03).
    Swales, J. (1990). Genre analysis: English in academic and research settings. Cambridge University Press.
    Swales, J. M. (1981). Aspects of article introductions. Language Studies Unit, University of Aston in Birmingham.
    Teufel, S. (2000). Argumentative zoning: Information extraction from scientific text.
    Teufel, S. (2010). The structure of scientific articles: Applications to citation indexing and summarization (center for the study of language and information- lecture notes).
    Teufel, S., & Moens, M. (2002). Summarizing scientific articles: experiments with relevance and rhetorical status. Computational linguistics, 28(4), 409–445.
    Thompson, D. K. (1993). Arguing for experimental 「facts」in science a study of research article results sections in biochemistry. Written communication, 10(1), 106–128.
    Tsuruoka, Y., Tateishi, Y., Kim, J.-D., Ohta, T., McNaught, J., Ananiadou, S., & Tsujii, J. (2005). Developing a robust part-of-speech tagger for biomedical text. Advances in informatics, 382–392.
    Weil, B. H. (1970). Standards for writing abstracts. Journal of the American Society for Information Science, 21(5), 351–357.
    Yamamoto, Y., & Takagi, T. (2005). A sentence classification system for multi biomedical literature summarization. In Data engineering workshops, 2005. 21st international conference on (pp. 1163–1163).

    無法下載圖示 全文公開日期 本全文未授權公開 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)

    QR CODE