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对于中国学生来说,很多人在各种各样的考试当中都被英语所难倒,很多同学在考研的时候也因英语分数低而导致考研失败。2017考研的同学们为了避免这种情况,一定要尽早开启2017考研英语的复习。基础阶段,同学们主要搞定词汇、长难句和语法等基础知识。文都考研小编每日给大家分享文都何凯文老师的句子,帮大家打好2017考研英语的基础。以下是第20句:
For now, he reckons, general-purpose machine intelligence remains a long way off. The pattern-recognizing abilities of deep-learning algorithms(n.演算法; 运算法则; algorithm的名词复数 ) 计算程序; are impressive, but computers still lack many of the mental tools that humans take for granted. A big one is “transfer learning”, which is what AI researchers call reasoning by analogy. This is the ability to take lessons learned in one domain and apply them to another. And machines like AlphaGo have no goals, and no more awareness of their own existence than does a word processor or a piece of accounting software.
词汇突破:1. Reckon 认为 (这样的词最安全的就是翻译为认为。)
2. general-purpose 一般性目的
3. The pattern-recognizing abilities of deep-learning algorithms 深度学习运算法则的模式识别能力 (这个名词真的是够装的,我反正不知道在说什么,但是据说就是阿尔法狗的核心竞争力。)
4. transfer learning 转移学习能力
5. reasoning by analogy. 通过类比来推理
6. apply A to B 运用A到B中
7. no more…than…双方否定句型 (这是每年考研都会讲到的一个句型,今年的句子中又遇到了,所以变得是内容,不变的是结构。)
例句: I run no faster than dose Jack.
=I run no faster than Jack does.(faster 中的-er就等于more,每年都有蠢萌的人来问我怎么没有more)
我跑的不快,就如Jack跑的也不快那样。(在than引导的句子中虽然没有否定词但是也要翻译成否定的含义。)
这种结构也可以是:not (few)…any more than…这样的变体。
解析:1. For now, he reckons, general-purpose machine intelligence remains a long way off.
他认为,迄今一般性目的的机器智能还有很长一段路要走。
2. The pattern-recognizing abilities of deep-learning algorithms are impressive, but computers still lack many of the mental tools that humans take for granted.
虽然深度学习运算法则的模式识别能力给人印象深刻,但是计算机依然缺乏很多人类轻易就能具备(take for granted)的思维工具.
3. A big one is “transfer learning”, which is what AI researchers call reasoning by analogy.其中很大的一个就是“转移学习能力。” 也就是人工智能研究者所称的“通过类比来推理”
4. This is the ability to take lessons learned in one domain and apply them to another.
这种能力是指把在一个领域中所学的教训运用到另外的一个领域中去。
5. And machines like AlphaGo have no goals, and no more awareness of their own existence than does a word processor or a piece of accounting software.
而且像阿尔法狗这样的机器是没有目标的。他们没有自己存在的意识,就如一个文档处理软件或者会计软件也没有自我存在意识一样。 |
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