問題的答案無所不包論文書籍站
Exclusive synonym的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包
Exclusive synonym的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Strong, James/ Kohlenberger, John R., III/ Swanson, James A.寫的 The Strongest Strong’s Exhaustive Concordance of the Bible 可以從中找到所需的評價。
另外網站Advanced English Vocabulary: 23 Great Ways to Say “Unique”也說明："Unique" is a fabulous word, but do you know its three slightly different ... Learning synonyms is a great way to improve your English as an advanced ...
國立臺灣師範大學 華語文教學系 洪嘉馡所指導 任心慈的 漢語情態動詞「能」與「可以」的多角度辨析 （2020），提出Exclusive synonym關鍵因素是什麼，來自於漢語情態動詞、能、可以、多角度辨析、詞彙語義學。
而第二篇論文國立臺灣大學 資訊管理學研究所 莊裕澤所指導 蕭至淳的 以不變性圖像為基礎之專利搜尋與分類 （2019），提出因為有 影像處理、專利分析、特徵擷取、不變性的重點而找出了 Exclusive synonym的解答。
最後網站Reverso - exclusive synonym | English synonyms dictionary則補充：exclusive synonyms and antonyms in the English synonyms dictionary, see also 'excursive',elusive',excuse',exclusion', definition.
The Strongest Strong’s Exhaustive Concordance of the Bible
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為了解決Exclusive synonym 的問題，作者Strong, James/ Kohlenberger, John R., III/ Swanson, James A. 這樣論述：
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漢語情態動詞「能」與「可以」的多角度辨析
為了解決Exclusive synonym 的問題，作者任心慈 這樣論述：
漢語情態動詞「能」與「可以」皆為多義詞，且互相近義的現象極為複雜，許多研究皆分析過兩詞差異，但不同研究所應用的理論架構亦不相同，故至今未有整體性的結論。 沿襲前人的成果，本研究以核心語義、共現詞彙、句法特徵及語義概念圖等角度探看「能」與「可以」個別的多義現象，再進一步釐清兩詞間重合的語義用法為何，具有區別性不可混用的語義用法為何，並列出兩詞的關鍵差異。 在核心語義角度，本研究以 Ahrens 等人（1998）的理論框架搭配中央研究院的多個語料庫探求「能」與「可以」於歷時發展中形成的核心語義及各個義面，並檢視「能」與「可以」與反義副詞「才」、「就」和「只」與「還」的共現分布；在句法特徵角度
，本研究探究兩詞作為漢語情態動詞共有的句法特徵，也以不同句式檢驗兩詞的相異之處；在語義概念圖角度，本研究探討兩詞的語義概念網絡，以及這些語義延伸的路徑。 根據研究結果，「能」與「可以」在三個角度下都具有一定的對立性（contrast）。在核心語義角度，兩詞僅本質能力允許及外部條件允許這兩個語義可以互換，且「能」與「可以」與兩組反義副詞的共現分布亦截然相反，「能」傾向與「才」、「只」共現，「可以」則傾向與「就」、「還」共現；在句法特徵角度，兩詞在對話問答及移位能力的表現也十分不同；在語義概念圖中，「能」與「可以」各有獨立的語義延伸路徑，僅有本質能力允許與外部條件允許兩區塊是重合的。透過多角度的
辨析，本研究發現「能」與「可以」間既近義又具有區別的現象支持語言學理論中的對立說（Clark, 1987；Clark 1992），即 Bolinger (1977) 所提出的概念「一個意思對應一個形式，而一個形式對應一個意思」。
以不變性圖像為基礎之專利搜尋與分類
為了解決Exclusive synonym 的問題，作者蕭至淳 這樣論述：
隨著科技發展日新月異與高速的技術創新，促使以高度競爭技術為基礎之產 品與服務有關專利申請與使用量亦逐年攀升，對投資人、經營者 、或各利害關係人來說，能否進行完整專利分析之專業能力及其專利檢索分類系統在知識經濟時代下之市場競爭扮演著非常重要的角色。專利申請後經專利權責機構進行專利審 查，若符合專利法規定並無與先前技術和圖式之權利和申請內容相同時，則授予其專利權並於保護時將其技術公開。近年來，已有許多基於文字分析基礎的專利檢索 與分類工具被提出，以進行專利分析並具一定程度的效能; 然而，因專利文件的文 字存在用詞、語意或刻意規避等編寫問題，限制了以文字探勘為基礎的專利分析之準確性。本研究目的為提
出以圖像不變性(含縮放、平移與旋轉)為基礎，進行專利圖式分析與檢索的新方法以期改善文字檢索之不足。研究資料下載自 Derwent 線 上專利資料庫，研究結果主要分為兩個部分，首先，針對發明專利與設計專利兩大 類之專利圖示，評估本研究之圖形不變性特徵擷取方法較諸著名專利檢索系統之 效能優劣; 其次，以專業角度客觀分析本研究與傳統以關鍵字為基礎檢索方法因作法迥異造成之差異。實驗結果並透過個案討論顯示本研究方法在兩大類專利資料 相較現有系統與方法均有良好的效能表現，說明相對於傳統的基於文本的專利搜 索的優勢，所提出的方法如何用於補足現有作業方式進行專利檢索以供各項專業使用。