Shadowing Practice: building an app is easy, actually - Learn English Speaking with Video
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Usually when people talk about building apps on here, and by here I mean like on YouTube, they always advertise it as a method to make money.
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Which is a little ironic because YouTube itself wasn't even a profitable app until around 2014.
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In fact, most apps nowadays aren't profitable unless they're B2B or business-to-business, meaning you're selling to people who themselves are selling to people.
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So I find it kind of funny when people claim
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that you can drop out of school or quit your job and just build apps for a living.
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because yeah you can build apps for a living
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but you'll be building them for a tech company
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or a bank at a job or you could just quit your job
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and build apps and not make a living
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or you could quit your job and make a living
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but you won't be building apps I'm not saying it's impossible
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to make a living I'm just saying that's not possible and even
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if you do get to do all three at the same time be careful what you wish for
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so let's just make an app that actually does something useful for fun
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because we want to because that's the best way to to learn anyway.
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I assume somewhere on your laptop right now is a PDF you haven't read.
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Maybe it's a research paper you bookmarked and forgot, but me no want open PDF and read word.
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We want stimulating activity.
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So how do you actually just sit down and read a PDF fast?
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The solution is a technique you've probably seen before, called RSVP, Rapid Serial Visual Presentation, where instead of moving your eyes left to right to read something,
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you just have the words flash on screen really fast one
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or two words at a time even faster than you could say them out loud.
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Normally the fastest a human can read is around 250 words per minute but this technique can get you to read 350,
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400 or even 500 words per minute without any previous training.
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Now let me just say there are plenty of free apps out there where you can paste in some text
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and it will flash each word on the screen one at a time for you
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but so far I haven't found anything that's both free and works on PDFs.
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So how about we build one?
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And let's call it Read Faster, because I was going to make a creative name, but then I realized half of the most downloaded apps on Google Play don't have creative names.
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So why bother?
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Now that you have the idea for the app and the name, you might feel a little underprepared.
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But many tech startups, in order to become truly billion-dollar companies, go through a long period of aggressively spending money from outside investors to grow.
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During the losing money stage, these startups are called pre-profit.
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Some tech startups don't even charge money yet, which makes them pre-revenue.
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Some are still working on the actual app and haven't released it yet, which makes them pre-launch.
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Some haven't even started working on the app and just have a PowerPoint presentation on what the app would do.
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This is known as pre-product.
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Lastly, some startups don't even know what the app would be about, just that it's going to use AI.
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This is known as pre-idea and it's about where 99% of startups are, so the fact that you have an idea already puts you way ahead.
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Now even though you might want to get to blindly vibe coding the app straight away, the components of an app are actually pretty easy to understand, so I think you might as well learn them.
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First, you need a UI or user interface, also known as a front end.
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This is all of the buttons and screens that the user will see and interact with on the app.
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The UI for your app will be slightly different when it's on the web versus iOS versus Android.
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Next, you may need a server-side framework, also known as a backend.
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This is what will manage all the data for a user
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so that they can make an account or use the same app across multiple devices.
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For example, let's say you make an app like Tinder
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that requires people to make an account and five people download your app.
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In order for them to sign in, you need some type of server that, somewhere, keeps track of all their passwords and data and who they matched with and what their current Tinder ELO is.
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Every time someone logs in, they have to talk to the server first.
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If you want this to happen, you need to code a backend.
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But if it's just a game like Flappy Bird, where no one has an account, and there's no leaderboard, and the only data it tracks is the highest score each person has on their phone, then you don't need to make a backend.
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Flappy Bird would be considered an entirely front-end app.
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The last thing is packaging and publishing.
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This just means combining all the code into a format that a phone or web browser can understand.
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and then you just publish to the App Store or Google Play, or it could even just run on a website.
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Now that we at least understand what's happening, we can vibe code the app.
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Well, maybe not you, maybe you're an actual coder, but I will vibe code using Bolt, which is just a free option that used to be popular, but may or may not be completely obsolete in two months.
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Never mind, it's already obsolete.
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Okay, so instead we're going to use Google AI Studio to build the app.
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You can write a prompt here for the app, which obviously I'm going to ask Claude to write.
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I'm going to give it the app requirements, and then the framework I want it to use, and then the single design requirement.
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A framework is just a pre-written set of tools, libraries, and other stuff that just makes your app logic standardized, easier to code, more secure, and a lot more reliable.
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The technology we'll use is the free Kotlin multi-platform made by JetBrains.
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You may have heard the Kotlin programming language before, but this is a technology that's multi-platform, meaning it allows you to write code once and deploy it to Android,
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iOS, desktop, to a server, and the web just from one code base.
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In a multi-platform architecture, your app's divided into two pieces.
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The first is the shared logic.
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For us, that's the logic for the program to read the PDF, to sequence the words, to calculate the words per minute and the timing of each word.
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Basically, everything that is done behind the scenes to flash the words on the screen.
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That code is written once in Kotlin and runs on every platform.
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So you only have to maintain one thing, just one code base.
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The second piece is the UI.
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With Compose Multi-Platform, JetBrains' declarative UI framework, which works across Android, iOS, desktop, and web, you write the UI once and it renders natively everywhere.
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Meaning everywhere, the app can run smoothly and without any lag.
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The recommended way to set this up is to download IntelliJ IDEA, which is a coding workspace.
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This is where you'll be writing all your code.
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Then you just go to plugins and download the one called Kotlin Multiplatform.
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After this, the template and starter files will already be there for you.
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So you already have the skeleton.
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Now you just have to code.
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And if you've never written Kotlin before, imagine Java, but about 40% less code.
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You can code an app just once and you could ship it out to run cleanly on any platform.
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If you're really getting into app development, you probably want to try this out, so check the description.
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By now, Google AI Studio should have fully generated the app
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and now you could preview it and you could also look at all the code.
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Once we've previewed it and tried it and we see that it works, the next step is to thoroughly test the app across various cases,
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various inputs, and all kinds of button presses to make sure that there are no bugs.
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After completely ignoring that step, we move on to deployment.
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Well, okay, you're not supposed to completely ignore testing, but personally, I feel like playing around with the preview you get is enough testing.
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Now it's time to deploy, which means put the app out on the internet for anyone to use slash install.
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In our case, we'll deploy it to the web
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because it costs money to get your app on the App Store or Google Play, and I know you don't want to do that.
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Now, you could deploy straight to Google Cloud.
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That's what Google wants you to do.
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That's why it's the only option when you click the big publish button.
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And technically, Google does give out $300 of free Google Cloud credit to everyone.
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So you technically don't have to pay, but still requires you to put in your credit card information.
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And I know you don't want to do that.
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Anyway, we're not going to deploy with Google Cloud.
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We're going to deploy using Vercel, which is free.
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Vercel basically hosts the app on the web so
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that Someone across the world can type in the link to your app and access it online and use it.
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Before that, one thing you might want to do first is go to the code tab here, and then on the right, you can download all the code as a zip file in
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case you want to work on it later inside an actual code editor and not Google AI Studio.
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But if you don't feel like downloading the code, you don't have to.
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Now to deploy with Vercel, we first need to use GitHub as a middleman.
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Just hit the settings button in the top right and keep scrolling right until you get to GitHub.
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Now, just sync your code to GitHub.
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Make a GitHub account if you need to.
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It probably takes under a minute, like I made a new account just for this.
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And then you follow the steps to transfer your code from Google AI Studio over to GitHub, which should be quick.
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Once all that is finished, you now have a GitHub repository that is storing all your code for the app.
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Now search up Vercel, make an account, and then click Start Deploying.
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Copy your link to your GitHub repository and paste it here.
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And then follow all the steps after that until eventually you can click the final button and deploy your app.
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Pretty soon it'll finish deploying and now you plus anyone else can access and use the app on the web.
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This app doesn't actually have a backend.
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So it doesn't store any user data.
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It doesn't need you to log in.
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And it would have done it using Firebase, which is just a Google-owned service that'll take care of everything you need for databases,
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authentication, cloud functions, sending notifications, stuff like that.
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All you have to do is click yes when it asks you if you want to use Firebase.
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And now you have a backend.
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Anyway, there's no steps left, besides maybe improving your app if you want to.
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But other than that, it's done.
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Use it once and forget about it.
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Tell your friends who don't care about it.
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Add it to your resume.
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They'll get auto rejected by the AI screening system anyway, whatever you want to do with it.
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You can even LARP as an actual software developer.
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I know I will.
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Bu dersin kelimeleri ve konuşma notları
Bu B2 seviyesindeki konuşma dersi “building an app is easy, actually” videosuna dayanıyor. En çok tekrarlanan kelimeler: app, code, Google, word, deploy. Bu videoda gölgeleme çalışması için 132 cümle ve 1984 kelime var. Konuşma bölümü 9:12 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 216 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin %85’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| vibe isim | /vaɪb/ | ortam |
| publish fiil | /ˈpʌblɪʃ/ | yayımlamak, yayınlamak |
| obsolete sıfat | /ˈɑbsəlit/ | eskimiş |
| pasta isim | /ˈpɑ.stə/ | makarna |
| desktop isim | /ˈdɛsktɒp/ | masaüstü |
| profitable sıfat | /ˈpɹɑ.fɪ.tə.bl̩/ | kârlı, kazançlı |
| technically zarf | /ˈtɛk.nɪˌkəl.i/ | teknik yönden |
| authentication isim | /ɔːˌθɛntɪˈkeɪʃn̩/ | kimlik doğrulama, kimlik kanıtlama |
| blindly zarf | /ˈblaɪndli/ | körü körüne |
| bookmark isim | /ˈbʊkmɑːɹk/ | kitap ayracı |
| middleman isim | [ˈmɪdɫ̩ˌmæn] | aracı, komisyoncu |
| workspace isim | /ˈwɝkˌspeɪs/ | çalışma alanı |
| aggressively zarf | agresif bir şekilde, agresif | |
| advertise fiil | /ˈædvɚˌtaɪ̯z/ | duyurmak |
| template isim | /ˈtɛm.plɪt/ | şablon, kalıp |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| sit down fiil | oturmak |
Tekrar etmeye değer cümleler
Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:
- This is where you'll be writing all your code.
- It doesn't need you to log in.
- Tell your friends who don't care about it.
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| İlgi cümlecikleri who / which + cümle — bir kişi ya da şey hakkında ek bilgi | people who themselves · yet, which makes · Bolt, which is |
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | haven't read · you've probably seen · haven't found |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | are called · is known · would be considered |
Dikkat edilecek telaffuzlar
Konuşmacı don't, haven't, I'm gibi kısaltılmış biçimleri 42 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “th” sesleri: authentication /ɔːˌθɛntɪˈkeɪʃn̩/, smoothly /ˈsmuːðli/, thoroughly /ˈθʌɹ.ə.li/
- “sh” ve “zh” sesleri: publish /ˈpʌblɪʃ/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, notification /ˌnoʊtɪfɪˈkeɪʃn̩/
- Uzun kelimeler — vurguyu doğru yere koyun: repository /ɹɪˈpɒz.ɪ.t(ə.)ɹɪ/, technically /ˈtɛk.nɪˌkəl.i/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, declarative /dɪˈklæɹ.ə.tɪv/, notification /ˌnoʊtɪfɪˈkeɪʃn̩/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: workspace /ˈwɝkˌspeɪs/, password /ˈpæs.wɜɹd/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: startup /ˈstɑɹtˌʌp/, preview /ˈpɹiːvjuː/, profitable /ˈpɹɑ.fɪ.tə.bl̩/, blindly /ˈblaɪndli/, cleanly /ˈklɛnli/
- /æ/ — “e”den daha açık: declarative /dɪˈklæɹ.ə.tɪv/, middleman [ˈmɪdɫ̩ˌmæn], advertise /ˈædvɚˌtaɪ̯z/, lastly /ˈlæstli/, calculate /ˈkælkjʊleɪt/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; vibe, publish, obsolete gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.