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英語 中学生

至急⚠️ 丸つけお願いいたします🙇🙇 明日の英語であるので💦

定詞 分詞/ 関係代名詞 している分がどこか考えよう 1 例にならって、下線の語句を修飾している部分に ( [例] There is a student(from India)in my school. 01 The bag on the desk is mine. 02 I want a book to read on the bus.) 03 That man taking pictures is my uncle. 04 This is a car (made in Japan.) 05 The food Emi likes the best is pizza. 06 I saw a cat that had blue eyes yesterday. 21:43 )をつけなさい。 (私の学校にはインド出身の生徒がいます) 机の上のかばんはぼくのものです) (私はバスの中で読む本がほしいです) (写真を撮っているあの男性は私のおじです) (これは日本で作られた車です) (エミが一番好きな食べものはビザです) ぼくは昨日、青い目を持ったネコを見ました) 1 / 6 日本との順のちがいをたしかめよう 2 | の語句を並べかえなさい。 07 歴史についての本 history a book about →A book about history 08 コーヒーを飲む時間 to coffee time have →>. have to coffee time 09 ドアのところに立っている女性 the door at standing the woman /4問 →The woman at the door standing 10 私が訪れたい国 want the country I to visit which →The country which I want to visit 3 文の話題をたしかめよう 次の文に 内の情報を付け足して書きかえなさい。 11 Ben is a precious member. (of our team) →Benis a precious of our team 12 That picture is beautiful. (on the wall ) →That picture 8/ ベンは私たちのチームの大切なメンバーです。 member 壁にかかっているあの写真はきれいです。 on the wall is beautiful. 13 Iknowagood place. (to watch the sunrise) -> 私は日の出を見るのにいい場所を知っています。 I know a good place to watch the sunrise. 14 What is the language? (used in Singapore ) シンガポールで使われている言語は何ですか。 → What is the used in Singapore language? 15 The girl is a new student. (walking with Bill) → The girl walking with Bill new 16 I will make everything. (that you want to eat) →I will make that you 17 The restaurant was nice. (Yuri recommended) ビルと歩いている女の子は新入生です。 student. 私は、あなたが食べたいものを全部作りますよ。 want to eat eveything. → Yuri recommended the restaurant 18 Do you know the man? (who was sitting here) → Do you 3年®AD know ユリがすすめてくれたレストランはよかったです。 was nice あなたは、ここに座っていた男性を知っていますか。 who was sitting here the man?

未解決 回答数: 1
TOEIC・英語 大学生・専門学校生・社会人

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

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英語 中学生

1.(1)②、(2)②、(3)①、(4)③④⑧⑩、(5)③④⑤、(6)③④、(7)①④⑥、(8)①②③⑥、(9)の解説をして欲しいです。3枚目が答えです

英語科 〔文 法〕 1 次の各文の( )に入る最も適当な語(旬) を1つ 選びなさい。 3 I don't want to be a person ( things. mi 7 who says 1 what speaks which talks I whose tells 英語 ) bad They followed the instructions they ( by their homeroom teacher. Both Ken and I ( ) junior high school ア was give 1 were gave ry were given I were giving ad (1) students two years ago. 7 is イ am ウ was I are were ⑤Could you tell me ( ) a ticket? ) My brother is very good at ( baseball. 7 play plays playing I played to play 3 This computer is ( ) than that one. good I expensive ④ I enjoyed ( イ better ウ best important o) movies in my room. 7 where I can get イ where can I get ) how to buying 300 [中京大中京〕 where to buying I (3) Sarah says she can't come () she finishes her homework. 7 when if unless I after 2 I bought two books (1 yudar yesterday. ア write writing ) in English watch I watching b⑤Did your sister ( 7 study I studyed watches watched to watch studys ) science yesterday? studies studied ⑥ I want ( ) your e-mail address. ア know knows knew I knowing * to know ⑦Have you ever ( ) letters in Chinese? ア write writes writing I wrote written ウ wrote I written 3 Please come to the library, Frank. I'll be there between two (w ) three. A7 and 1 for to エ or Hiroshi and his family enjoyed ( ) at Hakuba last weekend. ア ski ウ 1 skiing for skiing I to ski ⑤5 Ben has an aunt ( He goes and stays with her every winter. ア what イ who ) lives in Hawaii. whose I where [ たちばな〕 (4) She is very proud ( ) her bonsai and ⑧ When Lucy () going home on a public bus last Friday, she saw her cousin in Lad the bus. 7 is am ウ are I was * were ⑨Emily is very ( ) because she goes to college from Monday to Friday and works part-time at a bookstore on weekends. 7 short busy I tall * large small [菊華] ) since (2) The number of car accidents ( 1992. 7 decreasing イ are decreased Gloves showing it to visitors. ア with イ of ウ to I in 2 ( ) we go to the movie theater? イ What don't ウ How are I Why don't ア Let 3 The baby was named ( 7 before after I over * since ④Mary has few friends. ( always with a lot of friends. Instead of ウ As for on Where do ) his uncle. to ) John, he is According to エ After all have been decreasing ⑤He has two other children ( I has been decreasing 2 How about ( ) a taxi instead of 7 besides 1 among Even if ) Alan. below walking there? I'm tired. 7 to taking taking I above * beside 6 Take the JR Line to Nagoya, and change ( ) there. ウ to call I calling you -147-

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