国产精品第_久久精品国产一区二区三_99久精品_久久精品区_91视频18_国产91精品在线观看

英语听力 学英语,练听力,上听力课堂! 注册 登录
> 在线听力 > 英语高级听力 > 英语语言学习 >  第534篇

英语语言学习:电脑可以写诗吗?

所属教程:英语语言学习

浏览:

2020年07月24日

手机版
扫描二维码方便学习和分享
https://online2.tingclass.net/lesson/shi0529/0009/9910/535.mp3
https://image.tingclass.net/statics/js/2012
I have a question. Can a computer write poetry? This is a provocative question. You think about it for a minute, and you suddenly have a bunch of other questions like: What is a computer? What is poetry? What is creativity? But these are questions that people spend their entire lifetime trying to answer, not in a single TED Talk. So we're going to have to try a different approach.

So up here, we have two poems. One of them is written by a human, and the other one's written by a computer. I'm going to ask you to tell me which one's which. Have a go:

Poem 1: Little Fly / Thy summer's play, / My thoughtless hand / Has brush'd away. Am I not / A fly like thee? / Or art not thou / A man like me?

Poem 2: We can feel / Activist through your life's / morning / Pauses to see, pope I hate the / Non all the night to start a / great otherwise (...)

Alright, time's up. Hands up if you think Poem 1 was written by a human. OK, most of you. Hands up if you think Poem 2 was written by a human. Very brave of you, because the first one was written by the human poet William Blake. The second one was written by an algorithm that took all the language from my Facebook feed on one day and then regenerated it algorithmically, according to methods that I'll describe a little bit later on. So let's try another test. Again, you haven't got ages to read this, so just trust your gut.

Poem 1: A lion roars and a dog barks. It is interesting / and fascinating that a bird will fly and not / roar or bark. Enthralling stories about animals are in my dreams and I will sing them all if I / am not exhausted or weary.

Poem 2: Oh! kangaroos, sequins, chocolate sodas! / You are really beautiful! Pearls, / harmonicas, jujubes, aspirins! All / the stuff they've always talked about (...)

Alright, time's up. So if you think the first poem was written by a human, put your hand up. OK. And if you think the second poem was written by a human, put your hand up. We have, more or less, a 50/50 split here. It was much harder.

The answer is, the first poem was generated by an algorithm called Racter, that was created back in the 1970s, and the second poem was written by a guy called Frank O'Hara, who happens to be one of my favorite human poets.

So what we've just done now is a Turing test for poetry. The Turing test was first proposed by this guy, Alan Turing, in 1950, in order to answer the question, can computers think? Alan Turing believed that if a computer was able to have a to have a text-based conversation with a human, with such proficiency such that the human couldn't tell whether they are talking to a computer or a human, then the computer can be said to have intelligence.

So in 2013, my friend Benjamin Laird and I, we created a Turing test for poetry online. It's called bot or not, and you can go and play it for yourselves. But basically, it's the game we just played. You're presented with a poem, you don't know whether it was written by a human or a computer and you have to guess. So thousands and thousands of people have taken this test online, so we have results.

And what are the results? Well, Turing said that if a computer could fool a human 30 percent of the time that it was a human, then it passes the Turing test for intelligence. We have poems on the bot or not database that have fooled 65 percent of human readers into thinking it was written by a human. So, I think we have an answer to our question. According to the logic of the Turing test, can a computer write poetry? Well, yes, absolutely it can. But if you're feeling a little bit uncomfortable with this answer, that's OK. If you're having a bunch of gut reactions to it, that's also OK because this isn't the end of the story.

Let's play our third and final test. Again, you're going to have to read and tell me which you think is human.

Poem 1: Reg flags the reason for pretty flags. / And ribbons. Ribbons of flags / And wearing material / Reasons for wearing material. (...)

Poem 2: A wounded deer leaps highest, / I've heard the daffodil I've heard the flag to-day / I've heard the hunter tell; / 'Tis but the ecstasy of death, / And then the brake is almost done (...)

OK, time is up. So hands up if you think Poem 1 was written by a human. Hands up if you think Poem 2 was written by a human. Whoa, that's a lot more people. So you'd be surprised to find that Poem 1 was written by the very human poet Gertrude Stein. And Poem 2 was generated by an algorithm called RKCP. Now before we go on, let me describe very quickly and simply, how RKCP works. So RKCP is an algorithm designed by Ray Kurzweil, who's a director of engineering at Google and a firm believer in artificial intelligence. So, you give RKCP a source text, it analyzes the source text in order to find out how it uses language, and then it regenerates language that emulates that first text.

So in the poem we just saw before, Poem 2, the one that you all thought was human, it was fed a bunch of poems by a poet called Emily Dickinson it looked at the way she used language, learned the model, and then it regenerated a model according to that same structure. But the important thing to know about RKCP is that it doesn't know the meaning of the words it's using. The language is just raw material, it could be Chinese, it could be in Swedish, it could be the collected language from your Facebook feed for one day. It's just raw material. And nevertheless, it's able to create a poem that seems more human than Gertrude Stein's poem, and Gertrude Stein is a human.

So what we've done here is, more or less, a reverse Turing test. So Gertrude Stein, who's a human, is able to write a poem that fools a majority of human judges into thinking that it was written by a computer. Therefore, according to the logic of the reverse Turing test, Gertrude Stein is a computer.

Feeling confused? I think that's fair enough.

So far we've had humans that write like humans, we have computers that write like computers, we have computers that write like humans, but we also have, perhaps most confusingly, humans that write like computers.

So what do we take from all of this? Do we take that William Blake is somehow more of a human than Gertrude Stein? Or that Gertrude Stein is more of a computer than William Blake?

用户搜索

疯狂英语 英语语法 新概念英语 走遍美国 四级听力 英语音标 英语入门 发音 美语 四级 新东方 七年级 赖世雄 zero是什么意思驻马店市交通路997号小区(交通路997号)英语学习交流群

网站推荐

英语翻译英语应急口语8000句听歌学英语英语学习方法

  • 频道推荐
  • |
  • 全站推荐
  • 推荐下载
  • 网站推荐
主站蜘蛛池模板: 国内不卡一二三四区 | 不卡一区 | 精品人妻潮喷久久久又裸又黄 | 久久国产精品一区二区三区 | 无码国产69精品久久久久孕妇 | 被灌满精子的波多野结衣 | 免费一区二区三区在线视频 | 最新国产精品亚洲二区 | 国产高清成人 | 国产精品日日摸夜夜添夜夜添1 | 国产福利一区二区麻豆 | 亚洲精品久久久久久久不卡四虎 | 国产又大又黑又粗免费视频 | 日本高清无吗免费播放 | 国产黄网在线观看 | 奇米影视狠狠狠天天777 | 精品国产一区二区二三区在线观看 | 国产精品久久国产精麻豆99网站 | 刘涛一级aa免费毛片视频 | 久久久青草青青亚洲国产免观 | 夜间福利网站 | 国产精品午睡沙发系列 | 久激情内射婷内射蜜桃 | 久操视频在线免费观看 | 欧美a级毛片免费播敢 | 乱码一区二区三区完整视频 | 香蕉国产综合久久猫咪 | 久久亚洲精品一区成人 | 99久久综合九九亚洲 | 亚洲男人的天堂在线aⅴ视频 | 99久久免费观看 | 色聚网久久综合 | 亚洲一区二区三区免费视频 | 啦啦啦中文在线视频免费观看 | 男女肉粗暴进来120秒动态图 | 天天干亚洲 | 军人全身脱精光自慰 | 亚洲一级成人 | 在线精品亚洲一区二区小说 | 免费国产综合视频在线看 | 成人午夜性a级毛片免费 |