跟讀練習: I Stopped Saving Articles I Never Read. Here's the System That Fixed It. - 通過影片學習英語口語
選擇練習模式
每種模式都會開啟全屏練習室。
94 句
如果句子過短或過長,請點選 Edit 進行調整。
1
So this video is going to change the way you read in English.
2
Let's talk about English input, specifically reading.
3
You'll find an incredible article,
4
you save it, you tell yourself to read it this weekend,
5
and then you close the tab and watch Netflix instead.
6
So here are a few simple suggestions to make the reading habit easier.
7
The first thing is read broadly,
8
not just difficult articles, you can read any brand or company website.
9
I'm really into fashion and makeup,
10
so I read a lot of makeup brand websites,
11
tech company pages big corporate sites anything like
12
that read whatever you're genuinely interested in especially content
13
that has complete sentences real vocabulary and paragraph with context because
14
when you already know what company does you can start guessing
15
the meaning of the words naturally make your reading easy
16
and enjoyable it's the first inverted thing the second thing is
17
if you want to go deeper with articles instead of just
18
reading hoping something sticks would give something they got a boring knowledge base,
19
a living, optimized system that turns everything you read into release for asset.
20
I will tell you how that works.
21
This is the core idea of this venue,
22
especially when you want to read some difficult article from the economist or the guardian.
23
So step number one, topic clustering.
24
Group your articles by theme,
25
tech ethics, climate, global economics.
26
Within each theme, you extract a vocabulary network, not individual words.
27
So instead of learning ubiquitous in isolation,
28
we learn it alongside prevalent,
29
omnipresent, and you see all of them in actual sentences from the original sources.
30
Step number two, context annotation.
31
Every word gets tapped with its collocations,
32
its register and its sentence,
33
with a real sentence from the article as a proof of the concept.
34
This is how you start to feel how the language actually moves.
35
You can do this manually in Notion or Excel.
36
Descriptor is what matters.
37
Categorize, then connect.
38
So I use Kimi to realize the whole process.
39
is like Chagibuti but way more powerful.
40
It's not just one AI can run up to 300 agents at once.
41
Each one can take on a different role like research,
42
design, writing, even making presentations, anything you can imagine.
43
And they all collaborate to complete the task.
44
Now, here's where it gets powerful.
45
I'm going to show you how I built this entire system inside Keating.
46
I want to talk about this for a second.
47
Because the scale metals, I tried building multi-article systems in other AI tools,
48
and they kept out at around 10 files at a time.
49
That's fine for a single dig dive,
50
but it's not enough for real cross-article pattern recognition.
51
If you really want to build a base for a college,
52
Keating can handle up to 50 files in one go.
53
That's not just more.
54
It's a different kind of analysis.
55
You stop learning from individual articles and start learning from patterns across dozens of them.
56
Here's the prompt I used.
57
What you get back from Kingdyn is this three-layer system.
58
Theme, vocabulary, and context.
59
Every word has a home,
60
a family, and a paper trail.
61
You can see exactly how ubiquitous is used differently in a tech article versus a economics one.
62
This is knowledge base.
63
Everything else views on top of it.
64
Here's the thing nobody talks about.
65
Input alone doesn't make you fluent in fact to produce.
66
So by now, the full loop should be read,
67
organize, output, and get feedback.
68
Most learners stop after step 2, right?
69
That's why they can vacuumize sophisticated vocabulary but can't use it when they speak or write.
70
So I built a writing practice system directly inside the same teeny conversation.
71
It reads from the knowledge base we just created,
72
so every piece of practice session is grounded in real content.
73
Here's the prompt.
74
The shift here is huge.
75
You're not practicing into a vault.
76
You have a system that reads what you write,
77
knows what vocabulary you studied,
78
and gives you targeted feedback based on your actual weak spot.
79
So before we have this kind of system.
80
We only have fragmented notes,
81
articles, and never revisited, right?
82
And there's zero connection between what I read and what I could say.
83
But afterward, in keen conversation,
84
you can have your entire knowledge base surfaces the right vocabulary in context,
85
coaches who are writing in real time,
86
and tell you exactly what to review next.
87
The shift isn't just about working harder,
88
it's about holding the loop, right?
89
So English reading doesn't have to be intimidating.
90
The problem was never the article right
91
when you start simple we can also have a system to
92
curve reading into using you the knowledge base do the output practice closely
93
if you're interested in the prompts i use for latini just click the link in the description below
94
and if you find this video helpful give a like and subscribe to my channel see you next time
同頻道
FOR YOU
推薦影片
背景與上下文
在這部影片中,講者分享瞭如何改善英語閱讀習慣並深入理解文章內容。他提到許多人常常儲存他們從未閱讀的文章,導致浪費了寶貴的學習機會。通過正確的閱讀方法和工具,觀眾可以提升他們的英語口語和理解能力,進而達到更高的語言水平。尤其是對於那些希望通過shadowspeak來提升英語口語的學習者,通過有效的閱讀和理論知識的結合,能夠幫助他們更好地掌握英語。
日常交流的五個短語
- 閱讀不僅限於難度 - 在各種文章中學習,尤其是關注自己感興趣的內容。
- 尋找上下文明確的句子 - 從原文中提取真實的句子以幫助記憶和理解。
- 主題聚類 - 將文章按主題進行分組,有助於構建詞彙網路。
- 上下文註釋 - 為每個單詞提供搭配和例項句,增加其實際應用。
- 利用多功能工具 - 運用先進的工具整合資訊,提升學習效率。
逐步跟讀指南
要有效地使用shadow speech的方法來提高英語口語練習,建議採用以下步驟:
- 選擇感興趣的文章:從簡單的文章入手,選擇那些你真正感興趣的主題,避免只讀難懂的內容。
- 主題聚類:把相關文章根據主題進行分類,例如科技、倫理、氣候等。這樣可以讓你在同一領域內建立更廣泛的詞彙網路。
- 上下文註釋:為每個新單詞建立搭配和例句,幫助你理解這些詞在實際語境中的應用。
- 跟讀練習:使用記錄工具,反覆模仿講者的發音和語調,通過shadowspeak練習自己的口語能力。
- 反思與總結:每次閱讀後,寫下你學到的新詞彙和短語,並嘗試在日常交流中使用。
通過遵循這些步驟和利用shadowspeaks的方法,學習者不僅能夠增強自己的閱讀能力,還能夠提升英語口語表達的流利度和自信心。
什麼是跟讀法?
跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧,最初開發用於專業口譯員的培訓,並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大:您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同,跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性,語調,節奏,連讀,聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。
























