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English Senior High

答え合わせてしてください

Lesson 01 演習問題 (want など + (人) +to不定詞) 4) 私 I de nobu ansvare won a adquod ① 日本語に合うように,( Id 内から適切なものを選ぼう。 1)I want ani / ask) Emi to read this booked suse I a 5) あ Dic Dic (私はエミにこの本を読んでほしい。) 2)I wanted / asked my sister to turn off the TV.digianaco (私は妹にテレビを消すように頼んだ。 ) 3) Please ( tell / want) Tom to attend the meeting tomorrow. (トムに明日会議に出席するように言ってください。)sis po 4) I don't ( ask / want ) my son to eat junk food. (私は息子にジャンクフードを食べてほしくない。) 5) Did you ( want / ask) Sam to call me? (私に電話するようにサムに頼みましたか。) ② 日本語に合うように、( 1) I( SHA 内に適切な語を入れよう。 ) Ryota ( ) ( ) here at nine. (私はリョウタに9時にここに来るように言いました。) 2) I ( ) Kate ( (私はケイトにあなたを助けるように頼みました。) 3) Do you ( ) me ( (私にお皿を洗ってほしいのですか。) 4) I( ) my brother ( ) ( ) ( (私は弟にこの部屋を掃除するように言いました。) 5) Mr. Yamada ( ) Kana ( )( (山田先生はカナに窓を開けるように頼みました。) 6) Jiro ( ) us ( ) ( ジロウは私たちにいっしょに遊んでほしかった。) ) you. ) the dishes? (5) ) this room. ) the window. ) with him. ③ 日本語に合うように,[ []内の語句を正しい順に並べかえよう。 1) 私はあなたにこの歌を歌ってほしい。 Ⅰ [ to sing/ want / you ] this song. I this song. 兄は私にテレビをつけるように頼んだ。 My brother [ asked / to turn on / me ] the TV. My brother 3) アツシにチケットを2枚買うように言ってください。 Please [ tell / to buy / Atsushi ] two tickets. Please the TV. two tickets.

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English Senior High

ていく3.ていく4の英文作ってください

|例 (例) A: Are you going to wash your sneakers this weekend? Task 3 ペアになって, イラストの行動を週末にするつもりかどうかについて話してみよう。 B: No, I'm not. I think they are still clean. 例 (1) (2) wash one's sneakers practice the piano C 「~したら/もし〜なら」 などと未来の想定を伝える ⑤ We'll start the meeting when Yuki tastes back. ⑥ If it is warm tomorrow, Yuki and I will go to the zoo. F-Guide study for the exan コーティングを始めます。 もし明日やかけなは、ユキと私は動物園に行きます。 ⑤「~したら」と未来の時点でのことを想定する場合, when のような接続詞のあとでは動 詞の現在形を使う。 ⑥「もし~なら」 と条件を示す場合も, if のあとの動詞を現在形にする。 Task 4 使われる接続表現: when, after, before, until, by the time など イラストを参考に、与えられた語句のまとまりを適切な接続詞でつなぎ、 未来のことを表す文をつくって みよう。 下線部の動詞は必要に応じて正しい形に変えること。 (例) You will win the game if you do your best. If you do your best, you will win the game. you do your best / the weather be bad / it get dark / you finish your homework before / if / when 複数回使用可 (2) (3) you win the game come home we cancel the picnic Let's play video games

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English Junior High

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?

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TOEIC・English Undergraduate

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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