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Understand synonym的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包
Understand synonym的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Not Available (NA)寫的 Oxford Learner’s Pocket Thesaurus: A Dictionary of Synonyms for Learners of English. 和Thurs, Daniel Patrick的 Science Talk: Changing Notions of Science in American Culture都 可以從中找到所需的評價。
另外網站Understand也說明：Synonyms for understand in Free Thesaurus. Antonyms for understand. 99 synonyms for understand: comprehend, get, take in, perceive, grasp, know, see, ...
這兩本書分別來自 和所出版 。
國立臺灣師範大學 華語文教學系海外華語師資數位碩士在職專班 洪榮昭所指導 尤怡婷的 以「WordWall」數位遊戲探討印尼初學者在華語文學習焦慮、遊戲學習興趣、遊戲焦慮與知覺遊戲學習的價值 （2021），提出Understand synonym關鍵因素是什麼，來自於多媒體學習理論、華語文學習焦慮、遊戲學習興趣、遊戲焦慮、知覺遊戲學習的價值、數位遊戲。
而第二篇論文國立虎尾科技大學 資訊工程系碩士班 鄭錦聰所指導 黃耀正的 基於語料庫與知識庫改良之中文Word2Set的開發 （2021），提出因為有 人工智慧、Word2Vec、E-HowNet、相似字的預測、知識庫、語料庫、中文Word2Set、自然語言處理的重點而找出了 Understand synonym的解答。
最後網站Infodemic - World Health Organization (WHO)則補充：Promoting understanding of risk and health expert advice; Building resilience to misinformation; Engaging and empowering communities to take positive action.
Oxford Learner’s Pocket Thesaurus: A Dictionary of Synonyms for Learners of English.
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為了解決Understand synonym 的問題，作者Not Available (NA) 這樣論述：
A synonym dictionary written especially for learners. Essential information about 25,000 synonyms and opposites in a handy pocket-sized book. . Entries include three to ten near-synonyms, showing the difference among them. . Entries help learners understand the differences between familiar words whi
le learning terms they may not know."
以「WordWall」數位遊戲探討印尼初學者在華語文學習焦慮、遊戲學習興趣、遊戲焦慮與知覺遊戲學習的價值
為了解決Understand synonym 的問題，作者尤怡婷 這樣論述：
基於多媒體學習的認知情意學習理論，本研究採用「WordWall」線上數位遊戲來探討參與者複習華語以名詞、動詞、形容詞三種不同詞性的詞彙時，在華語文學習焦慮、遊戲學習興趣、遊戲焦慮與知覺遊戲學習的價值對遊戲進行中的影響。本研究採用準實驗研究法和問卷調查法來觀察以華語為第二語言學習者的情意變化，在研究實驗中，教師解說華語三種不同詞性的詞彙後，利用「WordWall」線上遊戲來進行複習。本研究有四十九名學生，家庭背景為印尼華僑，皆具備基本識字和華語基礎溝通能力，屬於初級華語學習者，運用華語三種詞性以名詞、動詞、形容詞帶入「WordWall」遊戲來複習，共進行七周時間，藉以了解華語學習者面對華語三種
不同詞性的詞彙在「WordWall」圖案文字配對遊戲學習情緒的變化以及探索因性別、年齡和華語先備能力所產生的影響，其研究結果歸納出以下結論。一、不同性別學生使用「WordWall」遊戲複習華語詞性的詞彙時，在華語文學習焦慮和學習興趣無男女性別差異，但在知覺遊戲學習的價值上，男性知覺遊戲學習的價值比女性高。二、不同年齡層使用「WordWall」遊戲複習華語詞性的詞彙時，在華語文學習焦慮、遊戲學習興趣、遊戲焦慮與知覺遊戲學習的價值上皆無顯著差異。三、華語學習者透過「WordWall」遊戲複習華語詞性的詞彙時，在華語文學習焦慮、遊戲學習興趣、遊戲焦慮與知覺遊戲學習的價值皆有高度相關，但在學習華語的詞
性無相關。四、華語先備能力使用「WordWall」遊戲複習華語詞性的詞彙時，其知覺遊戲學習的價值有差異。
Science Talk: Changing Notions of Science in American Culture
為了解決Understand synonym 的問題，作者Thurs, Daniel Patrick 這樣論述：
Science news is met by the public with a mixture of fascination and disengagement. On the one hand, Americans are inflamed by topics ranging from the question of whether or not Pluto is a planet to the ethics of stem-cell research. But the complexity of scientific research can also be confusing and
overwhelming, causing many to divert their attentions elsewhere and leave science to the "experts." Whether they follow science news closely or not, Americans take for granted that discoveries in the sciences are occurring constantly. Few, however, stop to consider how these advances--and the debate
s they sometimes lead to--contribute to the changing definition of the term "science" itself. Going beyond the issue-centered debates, Daniel Patrick Thurs examines what these controversies say about how we understand science now and in the future. Drawing on his analysis of magazines, newspapers, j
ournals and other forms of public discourse, Thurs describes how science--originally used as a synonym for general knowledge--became a term to distinguish particular subjects as elite forms of study accessible only to the highly educated.
基於語料庫與知識庫改良之中文Word2Set的開發
為了解決Understand synonym 的問題，作者黃耀正 這樣論述：
在人工智慧自然語言處理逐漸興起的環境下，機器的知識或智慧形成傾向於從網路上各式各樣的短文、語料庫及知識庫中獲取其知識或智慧內容來源。一般的語料庫與知識庫在內容上因用字的不同特性，及語料庫與知識庫中相似字之間過於零散，導致機器在使用一般的語料庫及知識庫去做相似字的預測之知識或智慧之學習結果差異很大。因此，語料庫與知識庫的選擇與製作就變得在建構機器的智慧之高低尤為重要。因此，在訓練前將語料庫或短文本及知識庫進行選擇與分析是非常重要。本論文提出三種基於語料庫與知識庫之改良中文 Word2Set 的開發。首先本論文提出了在 WordNet 基礎上加入 EHowNet 進行單詞語意分析的中文 Word
2Set 的改良。單辭的語意訊息和單詞關聯詞對於識別單詞非常重要，單辭語意訊息可由 WordNet 加上 E-HowNet 提供，以單詞的同義詞和反義詞所組成的訊息。同時改良中文 Word2Set 的 SVR，使用 LSTM 解決訓練過程中的梯度消失。其次本論文提出改善中文 Word2Set 中使用 Word2Vec 學習經由改良的語料庫以及修改 Word2Vec 隱藏層的權重，使得訓練更精準及在 LDA 的應用。再其次本論文提出用深度學習方法重建知識庫，以提升中文的 Word2Set 的功能，所提出的方法利IV用深度學習去學改良的知識庫，使得中文的 Word2Set 之應用更加精準。實驗結果
驗證，經過改良過後的語料庫與知識庫可以更加有效的訓練機器在相似字的預測上更加精準。