英语短新闻 脸书推出人工智能翻译.docVIP

小编给你一个美联英语官方免费试听课申请链接： /test/waijiao.aspx?tid=16-73675-0 美联英语提供：英语短新闻 脸书推出人工智能翻译 When a language you don’t understand appears in your Facebook News Feed, you can touch a button and quickly translate it. Facebook offers a way of communicating not just with the millions of people who speak your language, but with millions of others who speak something else. Or at least it almost does. 当你的脸书动态消息中出现了一种你不懂的语言，你可以点击一个按钮迅速翻译这些内容。脸书提供了一种方法使你不仅可以与数百万会讲你的语言的人交流，还可以与数百万讲其他语言的人交流。或者至少可以说脸书几乎做到了。 This morning, the company’s central artificial-intelligence lab released a paper describing a new technology that could accelerate the evolution of machine translation not only inside Facebook but across the internet. According to Facebook’s tests, its technique does so far more efficiently than other methods, which could eventually lead to even sharper translations. 今天上午脸书公司人工智能中心实验室发表了一篇论文，介绍了一种可以加速机器翻译发展的新技术，这种技术不仅可以加速脸书公司机器翻译的发展，还可以加速整个互联网机器翻译的发展。据脸书内测显示，迄今为止，这项技术比其他方法更有效率，最后还可以使翻译的内容更清楚明确。 Facebook’s approach relies on neural networks, complex mathematical systems that can learn tasks by analyzing vast amounts of data. This past fall, Google unveiled a new translation system driven entirely by neural networks that topped existing models, and many other companies and researchers are pushing in the same direction, most notably Microsoft and Chinese web giant Baidu. 脸书的方法依赖于神经网络和复杂的数学系统，可以通过分析大量的数据来获悉任务。去年秋天谷歌推出了一款完全由神经网络驱动的新型翻译系统，该系统超过了所有的现有模型，而且许多其他公司及研究人员也在朝着相同的研究方向推进，特别是微软和中国网络巨头百度。 But Facebook is taking a slightly different tack from most of the other big players. It’s using what are called convolutional neural networks, a technique invented by the venerable researcher Yann LeCun, who now oversees Facebook’s AI lab. Rather than analyze a sentence sequentially, one piece at a time, a convolutional neural network can analyze many different pieces at once, before organizing those pieces into a logical hierarchy. 不过脸书采用了一种与其他多数行业巨头略有不同的方法，它使用了一种所谓的卷积神经网络，该技术是由德高望重的研究员扬·勒丘恩发明的，如今勒丘恩管