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英語 高校生

このような関係詞の問題で使われる所有格と目的格の違いを教えてほしいです。主語は理解してます!

Exercises 1 日本語に合うように,( )内から適切なほうを選びなさい。 A 1) 車のそばに立っている男の人を知っていますか。 Lesson 18 Do you know the man (who which) is standing by the car? (2) 彼女は昨日、英語で書かれた手紙を受け取りました。 She received a letter (who/which) was written in English yesterday. 3) 私はこの歌を歌っているミュージシャンが好きです。 I like the musician (who/which sings this song. ② 各文の適切な位置に who, which, whom のいずれかを入れて,全文を書きなさい。 1) will show you a strange stone I picked up near the river. AB I will show you a strange stone which I picked up near the river.... The boy is smiling on the bed is her son. The boy Witude smiling on the bel is her son. The book boy is reading is very difficult. The book which boy techoistealing is very difficult. The singer I like very much is going to come to Japan next month. The singer Inlike very much who going to come to Japan next month... whome 3 日本語に合うように,( )に適切な関係代名詞を入れなさい。 ただし, 省略できる場合は×を 書きなさい。 ABC スピーチをしている男の人はキムラさんです。 The man who is making a speech is Mr. Kimura. これが姉の使っているパソコンです。 This is the computer (witch) my sister uses. 私がオーストラリアで会った人たちは親切でした。 The people (whomeX I met in Australia were kind. これはタマという名前の猫です。 This is the cat (which) name is Tama. whose 4 日本語に合うように, ()内の語句を並べかえて英文を完成させなさい。 ABC (1) これは20年前に建てられた家です。 This is (which / built/ago/ahouse/ twenty years / was). ...... This is here (hich was built twenty years age). 2 彼女が手に持っている花はとても美しいです。 →the flowers which hasi her hands her hands/which/in/has / the flowers / she) are very beautiful. She has the flowas which is her hands. 3)長い耳をした犬は私の犬です。 (long / ears / the dog / are / whose) is mine. The sbg whose are long ears. dog. are very beautiful. is mine. 関係詞 1

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英語 中学生

これわかんない笑笑 7時までに誰かといてー

科書 P.58 学習日 ◆ 英東・2 月 Lv2 Lv2 ょう。 Lv2 ③2 (4) You (am you study. 3125 Must イ Can No, you don't have to. 2(6) You (ア can イ may it's cold today. ◆英東・2 イ was ウ must I have) not play the game when ↓ [ ] 例文 ウ May Will)I_go there? P ] 例文 should Q will) wear a sweater because 例文 2 次の日本語に合うように、 に適当な語を書きなさい。 す。) 1年 Unit 2 Lv2 きません。) 1年 Unit 2 You mugn4 run きますか。) 1年 Unit 2 もいいですか。 ) Lv2 32(2) may not Unit 1 she ③2 (1) あなたたちはここで走ってはいけません。 2 (2) 彼は今日の午後、ベッキーを訪問しないかもしれません。 He Lv ③12 (3) 彼女は3時に家にいるでしょうか。 Lv ③12 (4) 彼はこの重いコンピュータを運ぶことができます。 He 3 次の日本語に合うように、 ( 例文 carry this heavy computer. 日 内の語を並べかえ、正しい英文にしなさい。 Lv1 1 32(1)彼らは10時前に寝なければなりません。 例文① (to / before / they / ten / go / must / bed). 例文 here. 例文 visit Becky this afternoon. 例 at home at three? Lv2 (2)私たちは今日の午後、公園に行くべきです。 例文の いかもしれません。) (the / go / afternoon/to/park/we / should / this か。) ません。) P.8 Lv2 P.8 ③32(3) 授業中にスマートフォンを使ってもよいですか。 (smartphone/I/class/ may / my / in / use )? 例文 さい。 norrow. ] [例文 4 次の英文を ( 内の指示にしたがって書きかえなさい。 なりませんか。) Lv1 です。) I his feelings. What can say when he's giving mel Lv1 Lv1 2 (1) Jane plays tennis well. (「・・・できない」 という文に 例文 〇 ⑩ and gead/valbat) ③2 (2) We can play soccer after school. (「…してもいいですか」という文に 下部の ③2 (3) He makes dinner this evening. (「・・・かもしれない」という文 Gakes Lv3 L ? かな? 例文 ② 例文 0 ③2 (4) Do I have to open the window? (助動詞を使ってほぼ同じ意味の文に) 例文1 luestion? ]JXO Lv2 ③12 (5) She is going to visit your house. (助動詞を使ってほぼ同じ意味の文に) 例文 6 Lv1 [ 例文 ③12 (6) Naoki may listen to music. (否定文に) 例文① -25-

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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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