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Fluent native的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包
Fluent native的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Lewis, Benny寫的 Language Hacking Mandarin: Learn How to Speak Mandarin - Right Away 和Pewhairangi, Te Ataakura的 Kei Te AHA Nga Kararehe?都 可以從中找到所需的評價。
另外網站First language - Wikipedia也說明：A first language, native tongue, native language, mother tongue or L1 is the first language ... Research suggests that while a non-native speaker may develop fluency in ...
這兩本書分別來自 和所出版 。
臺北市立大學 特殊教育學系碩士班語言治療組 郭于靚、徐峻賢所指導 游庭語的 以腦磁圖初探華語朗讀語料之語音清晰度及韻律邊界對聽常成人感知及理解之影響 （2021），提出Fluent native關鍵因素是什麼，來自於腦磁圖及腦磁儀、華語、調幅、聲碼器、韻律邊界、去趨勢波動分析、時序反應函數。
而第二篇論文國立清華大學 語言學研究所 林若芙所指導 陳怡庭的 以語意關聯性探討母語及第二語言之具象字效果調節: 事件相關腦電位及字彙判斷作業研究 （2021），提出因為有 語意關聯性、具象字效果、事件電位相關、字彙判斷的重點而找出了 Fluent native的解答。
最後網站Native language identification of fluent and advanced ... - WIRE則補充：This article performs NLI in a challenging context of the user-generated-content (UGC) where authors are fluent and advanced non-native speakers of a second ...
Language Hacking Mandarin: Learn How to Speak Mandarin - Right Away
為了解決Fluent native 的問題，作者Lewis, Benny 這樣論述：
Irish native Benny Lewis speaks over ten languages - all self-taught. In 2003, he spoke only one language: English. After university, he moved to Spain and was soon frustrated that he could not speak Spanish after six months of studying. So he decided to abandon traditional learning approaches and j
ust start speaking - and everything changed. Today Benny is known as The Irish Polyglot and speaks Mandarin Chinese, Arabic, French, German, Spanish, Italian, Portuguese, and Hungarian. He is the author of the bestselling book on language learning, Fluent in 3 months. He also runs the largest langua
ge learning blog in the world, www.fluentin3months.com, where he breaks down the language learning process for busy people. Lewis is a full-time ’language hacker’, and devotes his time to finding better, faster, and more efficient ways to learn languages. For the first time, he has applied his metho
ds to helping people learn specific languages in his new Language Hacking series.
Fluent native進入發燒排行的影片
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Years ago we tested Jun on his ability to tell the difference between "L" and "R" sounds, which was rather difficult for him! The Japanese language only has the "R" sound, which actually ends up somewhere in between an American English "R" and "L". This makes differentiating "R's" and "L's" one of the most difficult parts of learning English for a native Japanese speaker. Years ago, even sounding nearly fluent in English, it was quite difficult for Jun! But has he gotten better at it since??? MAYBE! Time for a test!
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以腦磁圖初探華語朗讀語料之語音清晰度及韻律邊界對聽常成人感知及理解之影響
為了解決Fluent native 的問題，作者游庭語 這樣論述：
本研究結合工程科學及認知神經科學的研究方法，目的為：(1) 初探低頻調幅訊息在言語中的特性 (2) 藉由認知神經實驗方式，初探低頻調幅訊息與大腦電生理活動間的關係 (3) 開發更加符合日常聆聽經驗的認知神經實驗方式及分析方法，以求進一步了解語音清晰度及韻律邊界對於口語感知及理解的影響。研究結果如下：1. 華語朗讀語料之調幅峰值為5Hz，符合Ding等人（2017）所提出之不同語言的調幅訊息具有共性。2. 根據200毫秒到 2 秒間的穩態聽覺誘發反應 （SSAEP），23Hz及7Hz的低頻調幅訊息會活化右腦的初級聽覺皮質，3Hz的低頻調幅訊息則活化左腦。3-1. 使用去趨勢波
動分析（DFA）分析腦磁波，發現聆聽正常語音及16頻道語音時，會誘發聽覺感知、音位辨識及語意分析反應，但4頻道語音僅誘發聽覺感知反應。3-2. 使用時序反應函數（TRF）分析腦磁波，發現聆聽正常語音時，韻律詞邊界及韻律短語邊界後約200毫秒會出現類似於M100的聽覺誘發反應，韻律短語邊界後約300毫秒出現較明顯類似於語言理解的M350反應；調整語音清晰度後，16頻道語音會發現類似結果，但4頻道語音則並未出現聽覺誘發反應或語言理解反應。
Kei Te AHA Nga Kararehe?
為了解決Fluent native 的問題，作者Pewhairangi, Te Ataakura 這樣論述：
Te Ataakura Pewhairangi, Ngati Porou, was brought up in te ao Maori, and her home language was and still is te reo Maori. A product of kohanga reo, kura kaupapa Maori and wharekura, she not only loves her language but also understands the responsibility as a fluent native speaker and writer to furth
er promote te reo Maori. She has worked extensively in television, and has MC’d various regional and national events such as the secondary schools kapa haka competition, Hauora Unleashed and Manu Korero national speech competition. A former senior tutor teaching te reo Maori and cultural competency
以語意關聯性探討母語及第二語言之具象字效果調節: 事件相關腦電位及字彙判斷作業研究
為了解決Fluent native 的問題，作者陳怡庭 這樣論述：
過往研究發現，具象字比起抽象字有比較好的回想表現，而這樣的優勢就被稱作具象字效果。本研究旨在探討在母語者以語意相關字作為字彙處理的輔助條件下，具象字效果是否有調節之可能。也就是，抽象字處理是否能受益於語意相關字的語意促發，進而使典型具象字效果變小或甚至消失。我們也從第二語言(英文)角度切入探究此問題，本研究採用語意促發典範，促發配對包括了用了同語言以及跨語言的方向。本次研究裡包括一個事件相關腦電位研究以及字彙判斷作業行為研究。首先，事件相關腦電位研究幫助我們發現情緒可能會影響具象字與抽象字的處理歷程的可能性，而這樣的可能性也在後續的字彙判斷作業證實。字彙判斷作業結果顯示，具象字效果的確受語意
相關性影響，但與預期的方向相反。具象字受益於語意相關字的程度比抽象字大。換言之，具象字效果在語意相關字的協助下反而擴大。然而，當牽扯到非母語的字彙處理時候，具象字效果似乎較為不一致:我們發現在特定語言促發方向(英文_中文)，抽象字受益於語意相關字之程度反而比具象字大。綜合研究結果，我們總結具象字效果在母語字彙處理最為可靠，且語意相關字所提供的處理歷程上的幫助無助於減少具象字與抽象字之間處理的差異，反而是增大了具象字效果。本文針對現存雙語詞彙處理模型進行討論，並期望可以啟發未來更多相關研究