问题 阅读理解与欣赏

狮子和老鼠(《 伊索寓言》)

有一天,一头大狮子在太阳下睡觉。一只小老鼠经过时碰到了它的爪子,把它惊醒了。大狮子张嘴准备吃它,小老鼠哭道:“哦,别吃我,请让我走吧,先生!有一天也许我会报答你的。”

狮子在心里冷笑,小小的老鼠怎么可能帮自己呢?但它是一只好心肠的狮子,就把老鼠放走了。

不久以后,狮子被一张网网住了。它使出全身力气使劲挣扎,但网太结实了,它大声吼叫,小老鼠听到了它的吼声,就跑了过去。

“别动,亲爱的狮子,我来帮你。我会把绳子咬断的。”

老鼠用它尖锐的小牙齿咬断了网上的绳子,狮子从网里挣脱了出来。

“上次你还耻笑我呢!”老鼠说,“你觉得我太小了,没法为你做什么事。但你看,一只可怜的小老鼠救了你的性命。”

小题1:文中的老鼠给我们留下了深刻的印象,你认为这是一只怎样的老鼠?请作简要分析。(2分)

                                                                             

                                                                             

小题2:仔细阅读上面的寓言,想一想这则寓言告诉我们一个什么道理?(2分)

                                                                           

答案

小题1:聪明自信、临危不乱、知恩图报、不放弃等。(分析略。写出两种,意合即可)

小题2:① 尺有所短,寸有所短。② 不要嘲笑弱者,强者也有需要弱者的时候。(2 分,写出一种,意合即可)

小题1:题目分析:当小老鼠被狮子抓住后,他求狮子放过自己,边说“有一天也许我会报答你的”,可见他是只临危不乱、聪明自信的小老鼠;当狮子遇到危险的时候,小老鼠救了他,可见他是一只知恩图报的小老鼠。

点评:做形象分析类题目时,要结合形象具体的言行来分析其精神品质。平时在阅读文章时,要善于分析文中所写对象的性格特点和精神品质。

小题2:题目分析:哪怕是一直小老鼠,他也可以救了庞大的狮子,每个人都有自己的长处,不要嘲笑不起眼的人,我们也应该像小狮子那样学会知恩图报,等等,结合寓言故事来分析即可。

点评:解答本题时,要联系文章中的具体内容和语句,再结合作者的写作意图和自己的生活经历来分析。

完形填空

You want a smart phone, but just how smart do you want it? How about one that can read your mind? Well, that phone may well be on its way...

Justin Rattner, chief researcher at Intel, says that technology has developed to the point that “context-aware computing (情景感知计算)”, an idea that’s been around for twenty years, is becoming more of a reality.

That could lead to a phone that acts as a mind reader in your pocket. But rather than simply collect secrets about you, the device could do things with that information, such as predict what you might do next and make suggestions.

Rattner gave a few examples during his speech at Intel’s developer conference in San Francisco recently.

Among them is a software that Intel worked on with Fodor’s Travel, a traveling website. It learns what types of foods you like to eat and what types of places you like to visit, based on searches you type into the phone or places you searched using GPS (全球定位系统). The software makes similar recommendations when you visit a new city.

Tech companies are already working to predict what people want. Search engine Google, movie-rental service Netflix, and online radio service Pandora try to guess what people want even before they know they want it.

Putting those types of functions together with the other information that phones collect about people could pave the way for even more helpful mobile phones, Rattner said.

A challenge is training computers to look at data from “hard sensors (传感器)” (which measure place, movement, temperature and the like) and combining those findings with data from “soft sensors” (such as calendar appointments and Web browsing history).

For example, your phone could tell that you have just left school and seem to be on your way home—a location it might know from your address book. It could then tell you the best route around traffic.

Rattner added that researchers are even making steps toward the final goal—a computer understanding of thoughts.

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