| dc.contributor.advisor | 劉吉軒 | zh_TW |
| dc.contributor.advisor | Liu, Jyi Shane | en_US |
| dc.contributor.author (Authors) | 邵智捷 | zh_TW |
| dc.contributor.author (Authors) | Shao, Chih Chieh | en_US |
| dc.creator (作者) | 邵智捷 | zh_TW |
| dc.creator (作者) | Shao, Chih Chieh | en_US |
| dc.date (日期) | 2009 | en_US |
| dc.date.accessioned | 11-Oct-2011 16:57:35 (UTC+8) | - |
| dc.date.available | 11-Oct-2011 16:57:35 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-Oct-2011 16:57:35 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0927530254 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/51591 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊科學學系 | zh_TW |
| dc.description (描述) | 92753025 | zh_TW |
| dc.description (描述) | 98 | zh_TW |
| dc.description.abstract (摘要) | 隨著時間的推移演進，人們瞭解到將知識經驗著作成文獻典籍保存下來供後人研究開發的重要性。時至今日，以英語為主的學術寫作論文成為全世界最主要的研究交流媒介。而對於英語為非母語的研究專家而言，在進行英語學術寫作上常常會遇到用了不適當的字彙或搭配詞導致無法確切的傳達自己的研究成果，或是在表達上過於貧乏的問題，因此英語學術寫作字彙與搭配詞的學習與使用就顯得相當重要。 在本研究中，我們藉由收集大量不同國家以及不同研究領域的學術論文為基礎，建構現實中實際使用的語料庫，並且建立數種詞性標籤型態，使用關鍵詞擷取關鍵詞擷取(Keyword Extraction)技術從中擷取出學術著作中常用的學術寫作字彙候選詞，當作是學術常用寫作字彙之初步結果，隨即將候選詞導入關鍵詞分析的指標形態模型，將候選詞依照指標特徵選出具有代表指標意義的進一步候選詞。在實驗方面，透過對不同範圍的樣本資料進行篩選，並導入統計上的方法對字彙進行不同領域共通性的分析檢證，再加上輔助篩選的機制後，最後求得名詞和動詞分別在學術寫作中常用的字彙，也以此字彙為基礎，發掘出語料庫中常用的搭配詞組合，提出以英語為外國語的研究學者以及學生在學術寫作上的常用字彙與搭配詞組合作為參考，在學術寫作上能夠提供更多樣性且正確的研究論述的協助。 | zh_TW |
| dc.description.abstract (摘要) | With the evolution over time, people start to know the importance of taking their knowledge and experience into literature texts and preserving them for future research. Until now, academic writing research papers mainly in English become the world’s leading communication media all over the world. For those non-native English researchers, they often encounter with the inappropriate vocabularies or collocations which causes them not to pass on their idea accurately or to express their research poorly. As a result, it’s very important to know how to learn or to use the correct academic writing in English vocabularies and collocations. In this study, we constructed the real academic thesis corpus which includes different countries and fields of academic research. The keyword extraction technique based on the several Part-of-Speech tag patterns is used for capturing the common academic writing vocabulary candidates in the academic works to be the initial result of the common vocabulary of academic writing. The candidate words would be introduced to the index analysis model of keyword and be picked out to the further meaningful candidate words according to the index characteristics.For the experiments, the sample data with different fields would be filtered and the vocabularies on different fields of commonality would be analyzed and verified through statistical methods. Moreover, the auxiliary filter mechanism would also be applied to get the common vocabularies in academic writing with nouns and verbs. Based on these vocabularies, we could discover the common combination with the words in the academic thesis corpus and provide them to the non-native English researchers and students as a reference with the common vocabularies and collocations in academic writing. Hopefully the study could help them to write more rich and correct research papers in the future. | en_US |
| dc.description.tableofcontents | 第一章 簡介................................................1 1.1 背景...................................................11.2 研究動機...............................................21.3 研究目的與方法.........................................31.4 論文架構與貢獻.........................................4第二章 文獻探討............................................62.1 語料庫語言學...........................................62.1.1 語料庫以及語料庫語言學的定義與特徵...................62.1.2 語料庫文字的預先處理與其後續相關應用.................82.2 關鍵詞擷取技術........................................102.2.1 關鍵詞在學術著作中的定義與特徵......................102.2.2 基於自然語言處理分析為主的關鍵詞擷取技術............102.2.3 基於統計分析為主的關鍵詞擷取技術....................122.2.4 建立於關鍵詞之上的特徵分析模型......................132.3 英語教學相關字彙研究..................................152.3.1 英語教學字彙的定義與特徵............................152.3.2 字彙與詞性的組合使用 - 搭配詞.......................162.4 本章總結..............................................17第三章 實驗方法...........................................183.1 語料庫設計............................................193.2 PoS Tag Patterns 關鍵詞擷取演算法.....................203.3 應用形態分析模型......................................233.4 本章總結..............................................25第四章 實驗分析討論與結果.................................264.1 實驗資料與實作方法....................................264.1.1 實驗資料說明........................................264.1.2 實驗方法............................................294.2 實驗結果之分析討論....................................344.2.1 實驗樣本的差異性....................................354.2.2 不同實驗樣本之實驗結果..............................364.2.3 學術寫作字彙的篩選機制..............................374.2.4 基於地域語言特性的學術寫作字彙......................394.3 延伸應用 - 學術搭配詞.................................404.4 本章總結..............................................42第五章 結論與未來研究方向.................................435.1 結論..................................................435.2 未來研究方向..........................................44參考文獻..................................................46附錄表一 CS領域動詞候選詞之各指標代表性字彙(前213個)......49附錄表二 CS領域動詞候選詞於不同頻率下之同質性分佈.........56附錄表三 各領域動詞依指標交集而得的領域學術字彙列表.......58附錄表四 最終選出之學術寫作上常用之字彙(綜合領域).........60附錄表五 最終選出之學術寫作上常用之字彙(綜合語言特性).....62附錄表六 學術寫作上字彙之常用搭配詞(整體).................64附錄表七 學術寫作上字彙之常用搭配詞(依語言特性)...........68圖表目錄圖 2-1 語料庫與資訊擷取預先處理工作一覽.....................9圖 3-1 研究方法之流程架構圖................................18圖 3-2 語料庫結構特性分析..................................20圖 3-3 Custom PoS Tag Patterns Algorithm...................22圖 4-1 三領域交集名詞與動詞之卡方值分佈....................32表 3-1 由CPTP algorithm擷取出之各領域學術寫作字彙候選詞....23表 4-1 AcademicThesisCorpus語料庫領域別文件詞次數量分佈....27表 4-2 ATC語料庫字彙頻率分佈...............................27表 4-3 ATC語料庫領域別動詞名詞數量分佈.....................28表 4-4 領域別候選詞數量與AWL數量統計.......................29表 4-5 三領域交集字彙各區間之同質性數值分佈統計............33表 4-6 各指標所代表趨勢之特徵..............................34表 4-7 各領域候選詞與非領域共通候選詞數量統計..............35表 4-8 兩種學術字彙列表數量與所包含AWL數量.................39表 4-9 兩種學術字彙列表之字彙卡方值分佈....................40 | zh_TW |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0927530254 | en_US |
| dc.subject (關鍵詞) | 關鍵字擷取 | zh_TW |
| dc.subject (關鍵詞) | 英語學習 | zh_TW |
| dc.subject (關鍵詞) | 學術字彙 | zh_TW |
| dc.subject (關鍵詞) | 學術字彙列表 | zh_TW |
| dc.subject (關鍵詞) | 詞性標籤型態 | zh_TW |
| dc.subject (關鍵詞) | keyword extraction | en_US |
| dc.subject (關鍵詞) | English learning | en_US |
| dc.subject (關鍵詞) | academic vocabulary | en_US |
| dc.subject (關鍵詞) | academic word list | en_US |
| dc.subject (關鍵詞) | AWL | en_US |
| dc.subject (關鍵詞) | PoS tag patterns | en_US |
| dc.title (題名) | 以型態組合為主的關鍵詞擷取技術在學術寫作字彙上的研究 | zh_TW |
| dc.title (題名) | A pattern approach to keyword extraction for academic writing vocabulary | en_US |
| dc.type (資料類型) | thesis | en |
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