シャドーイング練習: I Stopped Saving Articles I Never Read. Here's the System That Fixed It. - YouTubeで英語スピーキングを学ぶ

So this video is going to change the way you read in English.

⏸ 一時停止中

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文が短すぎたり長すぎる場合は、Editをタップして調整してください。

So this video is going to change the way you read in English.

Let's talk about English input, specifically reading.

You'll find an incredible article,

you save it, you tell yourself to read it this weekend,

and then you close the tab and watch Netflix instead.

So here are a few simple suggestions to make the reading habit easier.

The first thing is read broadly,

not just difficult articles, you can read any brand or company website.

I'm really into fashion and makeup,

so I read a lot of makeup brand websites,

tech company pages big corporate sites anything like

that read whatever you're genuinely interested in especially content

that has complete sentences real vocabulary and paragraph with context because

when you already know what company does you can start guessing

the meaning of the words naturally make your reading easy

and enjoyable it's the first inverted thing the second thing is

if you want to go deeper with articles instead of just

reading hoping something sticks would give something they got a boring knowledge base,

a living, optimized system that turns everything you read into release for asset.

I will tell you how that works.

This is the core idea of this venue,

especially when you want to read some difficult article from the economist or the guardian.

So step number one, topic clustering.

Group your articles by theme,

tech ethics, climate, global economics.

Within each theme, you extract a vocabulary network, not individual words.

So instead of learning ubiquitous in isolation,

we learn it alongside prevalent,

omnipresent, and you see all of them in actual sentences from the original sources.

Step number two, context annotation.

Every word gets tapped with its collocations,

its register and its sentence,

with a real sentence from the article as a proof of the concept.

This is how you start to feel how the language actually moves.

You can do this manually in Notion or Excel.

Descriptor is what matters.

Categorize, then connect.

So I use Kimi to realize the whole process.

is like Chagibuti but way more powerful.

It's not just one AI can run up to 300 agents at once.

Each one can take on a different role like research,

design, writing, even making presentations, anything you can imagine.

And they all collaborate to complete the task.

Now, here's where it gets powerful.

I'm going to show you how I built this entire system inside Keating.

I want to talk about this for a second.

Because the scale metals, I tried building multi-article systems in other AI tools,

and they kept out at around 10 files at a time.

That's fine for a single dig dive,

but it's not enough for real cross-article pattern recognition.

If you really want to build a base for a college,

Keating can handle up to 50 files in one go.

That's not just more.

It's a different kind of analysis.

You stop learning from individual articles and start learning from patterns across dozens of them.

Here's the prompt I used.

What you get back from Kingdyn is this three-layer system.

Theme, vocabulary, and context.

Every word has a home,

a family, and a paper trail.

You can see exactly how ubiquitous is used differently in a tech article versus a economics one.

This is knowledge base.

Everything else views on top of it.

Here's the thing nobody talks about.

Input alone doesn't make you fluent in fact to produce.

So by now, the full loop should be read,

organize, output, and get feedback.

Most learners stop after step 2, right?

That's why they can vacuumize sophisticated vocabulary but can't use it when they speak or write.

So I built a writing practice system directly inside the same teeny conversation.

It reads from the knowledge base we just created,

so every piece of practice session is grounded in real content.

Here's the prompt.

The shift here is huge.

You're not practicing into a vault.

You have a system that reads what you write,

knows what vocabulary you studied,

and gives you targeted feedback based on your actual weak spot.

So before we have this kind of system.

We only have fragmented notes,

articles, and never revisited, right?

And there's zero connection between what I read and what I could say.

But afterward, in keen conversation,

you can have your entire knowledge base surfaces the right vocabulary in context,

coaches who are writing in real time,

and tell you exactly what to review next.

The shift isn't just about working harder,

it's about holding the loop, right?

So English reading doesn't have to be intimidating.

The problem was never the article right

when you start simple we can also have a system to

curve reading into using you the knowledge base do the output practice closely

if you're interested in the prompts i use for latini just click the link in the description below

and if you find this video helpful give a like and subscribe to my channel see you next time

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シャドーイングとは？英語上達に効果的な理由

シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。

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シャドーイング（Shadowing）でネイティブ英語を体に染み込ませよう。YouTube動画を一文ずつ聞いて声に出して繰り返し、本物の発音と流暢さを身につける。

シャドーイング練習: I Stopped Saving Articles I Never Read. Here's the System That Fixed It. - YouTubeで英語スピーキングを学ぶ

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