İngilizce YDS (Yabancı Dil Sınavı) İçin TED Videosu: Susan Etlinger, "What do we do with all this big data?"


0 oy
Kategori: YDS Yabancı Dil Bilgisi Seviye Tespit Sınavı § yeniokul
§ yeniokul yeniden kategorilendirildi
  

1 içerik

§ yeniokul içerik eklendi

Merhaba,
İngilizce sınavlarına (özellikle YDS) çalışırken kullanılabilecek video kaynaklarına bir örnek olması için aşağıdaki videoyu ekliyorum. Video TED web sitesinden alınmıştır. Sitede pek çok farklı alandan uzmanın İngilizce yaptıkları konuşmalara ulaşmak mümkün. Aynı zamanda altyazı ve metin seçenekleri de bulunuyor. Yani videoyu izlerken anlamını bilmediğiniz sözcükleri not edip, çalışıp tekrar tekrar dinlediğinizde hem konuma diline, hem de zaten yazılı olarak hazırlanmış konuşma metinleri yoluyla İngilizce gramer, sözcük yapısı ve sözcük bilgisine aşinalığınız artacaktır. Çok faydalı olacağını düşünerek buraya ekliyorum.

Videonun altında konuşmanın İngilizce metninin bir kısmı da bulunuyor. Metnin devamı için bu linki kullanarak İngilizce tam metin bant çözümlemesini konuşma ile birlikte takip edebilir, çıktısını alabilirsiniz. Benzer örnekleri buldukça paylaşacağım.

Videoyu izlemek için resme tıklayın, videonun alt yazısını (İng.) oynatıcı üzerindeki seçeneklerden açıp kapayabilirsiniz.

0:12
Technology has brought us so much: the moon landing, the Internet, the ability to sequence the human genome. But it also taps into a lot of our deepest fears, and about 30 years ago, the culture critic Neil Postman wrote a book called "Amusing Ourselves to Death," which lays this out really brilliantly. And here's what he said, comparing the dystopian visions of George Orwell and Aldous Huxley. He said, Orwell feared we would become a captive culture. Huxley feared we would become a trivial culture. Orwell feared the truth would be concealed from us, and Huxley feared we would be drowned in a sea of irrelevance. In a nutshell, it's a choice between Big Brother watching you and you watching Big Brother. (Laughter)
1:07
But it doesn't have to be this way. We are not passive consumers of data and technology. We shape the role it plays in our lives and the way we make meaning from it, but to do that, we have to pay as much attention to how we think as how we code. We have to ask questions, and hard questions, to move past counting things to understanding them. We're constantly bombarded with stories about how much data there is in the world, but when it comes to big data and the challenges of interpreting it, size isn't everything. There's also the speed at which it moves, and the many varieties of data types, and here are just a few examples: images, text, video, audio. And what unites this disparate types of data is that they're created by people and they require context.
2:08
Now, there's a group of data scientists out of the University of Illinois-Chicago, and they're called the Health Media Collaboratory, and they've been working with the Centers for Disease Control to better understand how people talk about quitting smoking, how they talk about electronic cigarettes, and what they can do collectively to help them quit. The interesting thing is, if you want to understand how people talk about smoking, first you have to understand what they mean when they say "smoking." And on Twitter, there are four main categories: number one, smoking cigarettes; number two, smoking marijuana; number three, smoking ribs; and number four, smoking hot women. (Laughter)
2:57
So then you have to think about, well, how do people talk about electronic cigarettes? And there are so many different ways that people do this, and you can see from the slide it's a complex kind of a query. And what it reminds us is that language is created by people, and people are messy and we're complex and we use metaphors and slang and jargon and we do this 24/7 in many, many languages, and then as soon as we figure it out, we change it up.

(...)

Kaynak/Source: TED Talks, Susan Etlinger; "What do de do with all this big data?" Transkript

Bukalemunlar neden ve nasıl renk değiştirir?

İlgili başlıklar

Bumerang - Yazarkafe


Başvuru Kaynakları Başvuru Kaynakları

Yandex.Metrica

...