赤線部分についてです。私は｢any species｣を｢いかなる種｣と訳したのですが、日本語訳や解説を見るに、"any species"は"a species"という意味を表してるそうです。今までanyにひとつの物を限定するイメージを持っておらず、調べてもあまり理解できなか... 続きを読む

2 Unit 20-Cognitive Linguistics- | 519 words / 筑波大 1 識別 One of the most important things that language does for us is help us make distinctions. implicitly, automatically all other When we call something edible, we distinguish it from - R オ 2 5 things that are inedible. When we call something a fruit, we necessarily distinguish it from vegetables, meat, dairy, and so on. 初期の人 組織した。彼らの精神と 基本的な私たちがまた 有効的に ② (1) Early humans organized their minds and thoughts around basic distinctions/that we still make and find useful. One of the earliest distinctions made was between now/and not-now; / these things are happening in the moment these other things happened in the past and are now in my memory. No other species makes this self-conscious distinction among past, present, and future. Of course many species respond to time by building nests, flying south, hibernating", 10 mating but these are preprogrammed, instinctive behaviors and these actions are not the 物体の永抂 result of conscious decision, meditation, or planning. 13 Simultaneous with an understanding of now versus before is one of (2) object permanence: Something may not be in my immediate view, but that does not mean it has ceased to exist. Our 存在をつかむではない? 何かはすぐには見えないかも brains represent objects that are here-and-now as the information comes in from our sensory 2 15 receptors For example, we see a deer and we know through our eyes that the deer is standing n& right before us! When the deer is gone we can remember its image and represent it in our mind's eve, or even represent it externally by drawing or painting or sculpting it. Jon 上の 4 This human capacity to distinguish the here-and-now from the here-and-not-now.showed up 初の記校 なだがここにあって、何がここにあったか at least 50,000 years ago in cave paintings. (3) These constitute the first evidence of any species on 芝援 識別 ひきる 120 earth being able to explicitly represent the distinction between what is here and what was here. In as other words those early cave-dwelling Picassos, through the very act of painting, were making a distinction about time and place and objects, an advanced cognitive operation we now call mental representation* And what they were demonstrating was an articulated sense of time: There was a deer out there (not here on the cave wall of course). He is not there now, but he was there before. 25 Now and before are different; here (the cave wall) is merely representing there (the meadow in front of the cave). This prehistoric step in the organization of our minds mattered a great deal. 5 In making such distinctions, (4) we are implicitly forming categories, something that is often す overlooked The formation of categories in humans is guided by a cognitive principle of wanting 多くの何報をできる! 325 h to encode as much information as possible with the least possible effort. Categorization systems optimize* the ease of conception and the importance of being able to communicate about those hibernate 冬眠する sensory receptor: 感覚受容器 (体の周囲の環境情報を感知する受容器の総称。 目、鼻、耳など) cognitive : 認識の mental representation 的表象(例えば人が「イヌ」を考えるとき、それは頭の中で文字でも映像でも 音でもない 何らかの形で思い描かれるが,この「頭の中の記号」のことを心的表象という) encode:・・・を記号化する optimize ... を最大限にする permeate : ･･･ に広がる 英 6 音

【急募】 高専の過去問なんですが和訳ができないんで教えてください。また、英語の問題の解説もお願いします。

5 次の英文は,家族の夜の外食行動(eating out behavior)に関する調査について述べたもので ある。英文と表を良く読み, あとの問題に答えなさい。 なお, 計算等を行う場合は、この問題の ページの余白で行うこと。 Kakeru and his friend Judy go to a university in Japan. They decided to work together to do some research about people's eating out behavior at night. They sent several questions to 300 families with children in elementary or junior high school. They asked what day of the week the families eat out at night the most and what their primary reason for eating out is. The results are shown in the tables below. Table 1 shows the days of eating out at night. According to the results of the survey, Monday is the lowest percent of all. Only one percent of the families eat out on Monday. The percent of families who eat out on Thursday is half of the percent of Wednesday. On Sunday, ten percent of families eat out. The rate of families choosing Friday or Saturday night for eating out is more than 70 percent, and Friday is higher than Saturday. Why do more families choose Friday and not Saturday for eating out? Many adults and children are on a five-day week, and Saturdays and Sundays are their days off. So, they eat out on Friday night as a reward for finishing the week's work or school. In Table 2, we can see various reasons for eating out at night, but more than 60 percent of the answers are related only to parents. Parents usually make meals for the family, and other members sometimes help to cook. As a result, when parents cannot make dinner, the family eats out. The percent of "For a change" is about half of "All family members come home too late." The research also shows that most children want to eat out more often, but about 50 percent. of parents think they eat out too much. They worry about the cost of eating at restaurants. Table 1 Days of eating out Day Percent (%) Table 2 Reasons to eat out Reason Percent (%) Monday Tuesday Wednesday 8 Thursday Friday ( A ) ( B Saturday ( C ) Sunday Total amount 10 100 1 Parents come home too late 36 2 P 27 Q 15 R ) 11 Others For a change Total amount 7 4 100 (注) primary 第一位の on a five-day week 週5日勤務の be related to ~~と関係がある cost table day off for a change 気分転換に total amount it rate A reward ごほうび late 遅くに -5-

下線部が間違っているのはどれでしょうか？英語できる方お願いします🙏

In order to keep law and order, there is the need for each society in controlling イ the specific behavior of its members. ホ ハ =

There are a lot of new things we are doing this year that we think will lead to some huge changes in behavior in the future.この英文なのですが、どこが... 続きを読む

この長文問題の答えと解説をお願いします。

15 語数: 398 語 出題校 法政大 5 We are already aware that our every move online is tracked and analyzed. But you 2-53 couldn't have known how much Facebook can learn about you from the smallest of social interactions - a 'like'*. (1) Researchers from the University of Cambridge designed (2) a simple machine-learning 2-54 system to predict Facebook users' personal information based solely on which pages they had liked. E "We were completely surprised by the accuracy of the predictions," says Michael 2-55 Kosinski, lead researcher of the project. Kosinski and colleagues built the system by scanning likes for a sample of 58,000 volunteers, and matching them up with other 10 profile details such as age, gender, and relationship status. They also matched up those likes with the results of personality and intelligence tests the volunteers had taken. The team then used their model to make predictions about other volunteers, based solely on their likes. The system can distinguish between the profiles of black and white Facebook users, 15 getting it right 95 percent of the time. It was also 90 percent accurate in separating males and females, Democrats and Republicans. Personality traits like openness and intelligence were also estimated based on likes, and were as accurate in some areas as a standard personality test designed for the task. Mixing what a user likes with many kinds of other data from their real-life activities could improve these predictions even more. 20 Voting records, utility bills and marriage records are already being added to Facebook's database, where they are easier to analyze. Facebook recently partnered with offline data companies, which all collect this kind of information. This move will allow even deeper insights into the behavior of the web users. 25 30 (3) - Sarah Downey, a lawyer and analyst with a privacy technology company, foresees insurers using the information gained by Facebook to help them identify risky customers, and perhaps charge them with higher fees. But there are potential benefits for users, too. Kosinski suggests that Facebook could end up as an online locker for your personal information, releasing your profiles at your command to help you with career planning. Downey says the research is the first solid example of the kinds of insights that can be made through Facebook. "This study is a great example of how the little things you do online show so much about you,” she says. "You might not remember liking things, " but Facebook remembers and (4) it all adds up.", * a 'like': フェイスブック上で個人の好みを表示する機能。 日本語版のフェイスブックでは「いいね!」 と表記される。 2-56 2-57 2-58 36

この文のlimitingの主語がthe choice ofとなっているのですが分詞構文の主語は前の文のSに当たる部分にしなくてはならないのかと思いました。教えて頂きたいです。よろしくお願いいたします。

こともある なければOK ⑤ The making of a film requires the choice of a viewpoint which controls what is shown on the screen, thus limiting our normal freedom to survey what is in front of us, to select and examine what catches our attention or interest. control (vt) = to order, limit, or rule something, or someone's actions or behavior 大橋が出てきたら を考える!! eg. If you can't control your dog, put it on a lead! You're going to have to learn to control your temper. 袖 ※英語の語順で訳せる味は そっちの方が良い、つじつかあわた い時のみ訳しあげをする.

左の英文の4行目に書いてある、no more or lessのところについてで、3枚目の写真ではno moreはonlyと同じ意味になると書いてあるのですが、no moreには2つ意味があるということですか？

目標時間 2分6秒 音声 What makes us specifically human? The complexity of our language? Our problem-solving strategies? You may be shocked by my suggestion that, in some very deep sense, language and some aspects of human problem solving are no more or less complex than the behaviors of other species. Complexity as such is not the issue. about

空所に入る c で始まる単語を教えて欲しいです！ お願いします🙏

Ms. Walker asks her students to think about the ( ) of their actions. She wants them to understand that their behavior will have effects on themselves and others.

Drinking while pregnant was considered acceptable behavior. 訳　妊娠中に飲酒をすることは容認できる行動だとみなされていた。 while 〜ingで〜している間だと、飲酒をしている間になってしまい上手く訳ができませ... 続きを読む

適度な語句を見つける問題です。教えてください。よろしくお願いします🙇

1. 次の文の( )に入る適当な語句を①~⑩から選びなさい . (1) John's already gone, ( > ? doesn't he won't he didn't he (2) David ( ) the major inventor in our business. hasn't he blends (3) "Which do you like ( 2mends 3 remains revolves ), tea or coffee?" "Coffee." ①best ②better ③good ④well (4) ( ) to hear that news! ①How I was surprised How was I surprised How surprised I How surprised I was (5) Your behavior makes me ( ). anger 2 angrily 3 angry to anger