科技翻译

朱月娥 李广践

目录

  • 1 导论
    • 1.1 开课问卷
    • 1.2 课程简介
    • 1.3 课程评价构成
    • 1.4 课程大纲与参考书目
    • 1.5 科技翻译的作用
    • 1.6 科技翻译译者的素养
    • 1.7 学生习作展示
  • 2 中国科技翻译简史
    • 2.1 中国翻译史
    • 2.2 中国科技翻译史
    • 2.3 重要科学翻译家
    • 2.4 主题悦读
    • 2.5 学生习作展示
  • 3 科技翻译标准与方法
    • 3.1 科技翻译的标准
    • 3.2 科技翻译的方法与技巧
      • 3.2.1 直译法&意译法&音译法
      • 3.2.2 增译法和减译法
      • 3.2.3 拆译法
    • 3.3 科技文本的文体特征
    • 3.4 主题悦读
  • 4 科技词汇-术语的翻译
    • 4.1 科技术语的命名原则
    • 4.2 术语的定义、翻译
      • 4.2.1 术语翻译的本质及基本特征
      • 4.2.2 术语翻译是国际化还是民族化
    • 4.3 术语库的建立
    • 4.4 主题悦读
  • 5 句子的翻译
    • 5.1 英语长句的特征与翻译
    • 5.2 汉语长句的特征与翻译
    • 5.3 科技翻译中的逻辑再现
    • 5.4 科技英语否定结构的翻译
    • 5.5 科技英语被动句的翻译
    • 5.6 简单句与复杂句的转换
  • 6 科技语篇特征与翻译
    • 6.1 农林业、生态
      • 6.1.1 林业语篇翻译
      • 6.1.2 林业语篇翻译2
    • 6.2 生命科学
    • 6.3 医学
    • 6.4 机电工程
    • 6.5 航天航空
    • 6.6 主题悦视
    • 6.7 学生译作欣赏
  • 7 科技翻译之美
    • 7.1 艺术与科技
    • 7.2 美的体现
    • 7.3 主题悦读
    • 7.4 学生习作展示
    • 7.5 素材
  • 8 科技翻译经典品鉴
    • 8.1 科技典藉译作欣赏
    • 8.2 科技影视作品欣赏
  • 9 翻译技术在科技翻译中的应用
    • 9.1 因特网的应用
    • 9.2 计算机辅助翻译
    • 9.3 Trados使用技巧
    • 9.4 字幕翻译的消音和配音
    • 9.5 主题悦读
  • 10 科技翻译实践-博物馆、科技馆实地考察
    • 10.1 博物馆、科技馆考察汇报PPT
      • 10.1.1 2019级科技馆实习汇报
    • 10.2 博物馆、科技馆实践反馈
    • 10.3 主题悦读
    • 10.4 翻译练笔
  • 11 节译与编译
    • 11.1 素材
    • 11.2 主题悦读
      • 11.2.1 主题悦读
      • 11.2.2 主题悦读
    • 11.3 编译
      • 11.3.1 主题悦读
      • 11.3.2 主题悦读
      • 11.3.3 主题悦读
      • 11.3.4 主题悦读
      • 11.3.5 主题悦读
    • 11.4 主题悦视
  • 12 科技论文写作与翻译
    • 12.1 如何查找文献
    • 12.2 怎样写出一篇好文章
    • 12.3 科技论文摘要写作与翻译
    • 12.4 科技论文写作
    • 12.5 专利翻译
  • 13 课程结语
    • 13.1 End-of-the-term survey
主题悦读

                                                       主题悦读





                                  The first AI-written play isn't Shakespeare

                                          but it has its moments

By Sofia Moutinho  

Feb. 26, 2021 , 11:30 AM 

One hundred years ago, a play by the Czech author Karel Čapek introduced the word “robot,” telling the story of artificial factory workers designed to serve humans. Now, a robot itself has written a play. And it premieres online today. “It's a kind of futuristic Little Prince,”says dramatist David Košťák, who oversaw the script. Like the classical French children's book, the 60-minute production – AI: When a robot writes a play – tells the journey of a character (this time a robot), who goes out into the world to learn about society and human emotions.

The script was created by a widely available AI system called GPT-2. Created by Elon Musk's company OpenAI, this“robot” is a computer model designed to generate text by drawing from the enormous repository of information available on the internet. So far, the technology has been used to write fake news, short stories, and poems. The play is GPT-2's first theater production, the team behind it claims. 

Here's how it worksFirst, a human feeds the program with a prompt. In this case, the researchers – at Charles University in Prague – began with two sentences of dialogue, where one or two characters chat about human feelings and experiences. The first input they gave to the AI, for example, was :“Hello, I am robot and it is a pleasure to invite you to see a play I wrote.” The software then takes things from there, generating up to 1000 words of additional text. 

The result is far from William Shakespeare. After a few sentences, the program starts to write things that sometimes don't follow a logical storyline, or statements that contradict other passages of the text. For example, the AI sometimes forgot the main character was a robot, not a human. “Sometimes it would change a male to female in the middle of a dialogue,” says Charles University computational linguist Rudolf Rosa, who started to work on the project 2 years ago. That happens because the program doesn't really know the meaning of the sentences, says Chad DeChant, an AI expert at Columbia  University. “It just puts together words that are likely to be used together, one after the other,” says DeChant, who was not part of the play but is curious to watch it. As it keeps going, there is more room for nonsense.

To prevent that, the team didn't let GPT-2 write the entire play at once. Instead, the researchers broke the show down into eight scenes, each less than 5minutes; each scene also only contained a dialogue between two characters at the same time. In addition, the scientists sometimes changed the text, for example altering the passages where the AI changed the character's gender from line to line or repeating their initial text prompt until the program spat out sensible prose. Rosa estimates that 90% of the final script was left untouched, whereas10% had human intervention.

 Because the computer didn't come up with the whole script itself, DeChant says he wouldn't call the play “AI created.” He believes it will take about 15 years for the technology to be good enough to generate a complex and cohesive text like a theater play from beginning to end. But he thinks the experiment is still a nice way to show audiences what AI is currently able to do and “get people excited about it.”

Rosa says the fact that the program is generating line after line of mostly intelligible writing is remarkable in itself. “Ten years ago, you could only generate a sentence that looked like a sentence if you were really lucky.”

 

Still,Košťák says the resulting text was tough for the actors to interpret, especially because the AI was not very good at staging the type of action and emotion needed to make a play work. “One of the actresses told me it was the most challenging work of her career,” he says. 

Don't blame the computer, Košťák says. The AI only reflects what people have been writing about on the internet, without any filter or shame.“It is like a child that listens to his parents at home talking about something that they wouldn't talk about in public,” he says. “Then the kid goes to school and starts to talk about it openly.”

If you want to judge the play's suitability for yourself, it debuts today at 1 p.m. EST. There will be English subtitles.

(Copiedfrom公众号:英语新文。Adapted; to read the full text, please visit https://www.sciencemag.org)