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英語 高校生

答えをなくしてしまって合ってるか分からないので間違えてる所があったら教えてください。お願いします。

<Exercise Lesson 8> 1.( )内に右の語群からもっとも適切な語を選び、適切な形に ①Ipractice( play ② I'm sure of Meg's ( weekend. ) tennis Pass) the entrance exam. ③ Taro had difficulty (solve the math problem.dart to noise take ogo play ④ Thank for ( kyou take ) care of my dog. pass solve brts Sno Juod 2. 日本語を参考に、空所に英語を書きなさい。 ① 中国語を読むことは、話すことよりも簡単です。 (Reading) (Chinese) is easier than (Jpeoking) it. ② ヨーロッパの歴史を学ぶ学生にとって、ローマは訪れる価値のある町です。 Rome is a city (worth)(visiting ) for a student studying European history. ③ ここに座ってもいいですか。 Would you mind ( my (ET takt (S) )( sitting ) here? nanobra nadoound on T ④ 今から5年後に何が起こるかわかりません。 There is ( no) ( telling ) what will happen five years from now. 3. 日本語を参考に英語を並べ替え、 全文書きなさい。 ① 私は子供のように扱われるのが大嫌いです。 (a/I/being / child / like / hate / treated ). I hate being treated like a child ② 私は母が数学の教員であることを誇りに思っています。 I (my / of / mother / am / a math teacher/being/proud). I am proud of being my mother a math teacher ③ 覆水盆に返らず。 (こぼれたミルクを嘆いても無駄です。) (crying/is/it/ nó / over / use) spilt milk. It is no use crying over spilt milk.

解決済み 回答数: 1
英語 中学生

1番下、2つありますが、どういうことですか?

資料編 sit send spend stand teach tell think 原形 (おくる) (すわる) 現在形 過去形 send(s) 過去分詞 sent ...ing sit(s) sent sat [sæt] sending (過ごす) spend(s) sat spent sitting (立っている) stand(s) spent stood spending (教える) teach(es) stood taught standing ( 話す,教える) (思う) tell(s) taught told teaching told think(s) thought telling understand (理解する) understand(s) thought understood thinking understood (勝つ) win(s) understanding won win won winning be A.B.CU (...753) am, is/are begin (始める) begin(s) was / were began been (bín] being begun [bigán] break (破る) break(s) beginning broke [bróuk] broken [bróukan] breaking choose (選ぶ) choose(s) chose [tfóuz] chosen [tfóuzn] choosing do (する) do, does did done [dán] doing draw (かく) draw(s) drew [drú:] drawn [dró:n] drawing drink (飲む) drink(s) drank [dræŋk] drunk [dráŋk] drinking eat (食べる) eat(s) ate eaten [í:tn] eating fall (落ちる) fall(s) fell fallen [f5:lǝn] falling give (与える) give(s) gave given [gívn] giving go (行く) go(es) went gone [gó:n] going grow ((しだいに)・・・ になる) grow(s) grew [grú:] grown [gróun] growing know (知っている) know(s) knew known T knowing ride (乗る) ride(s) rode ridden [rídn] riding rise (のぼる) rise(s) rose [róuz] risen [rízn] rising see (見る) see(s) saw seen seeing show (見せる) show(s) showed shown [foun] showing sing (歌う) sing(s) sang [sæŋ] sung sán singing sink (しずむ) sink(s) sank [sæŋk], sunk, sinking sunk [sáŋk] sunken [sáŋkan] ancaking

解決済み 回答数: 1
英語 高校生

線を引いたところの訳し方を丁寧に教えて頂きたいです🙇‍♀️

L American poet Ralph Waldo Emerson once said, "Every artist was first an amateur." He likely never thought those words would apply to machines. Yet artificial intelligence (AI) has demonstrated a growing talent for creativity, whether writing a heavy-metal rock album or producing an original portrait that is strikingly similar to a Rembrandt. Applying AI to the art world might seem unoriginal; there are, of course, plenty of humans delivering awe-inspiring work. Supporters say, however, the real beauty of training AI to be creative does not lie in the end product-but rather in the technology's potential to expand on its own machine-learning education, and to solve problems by thinking in different ways far faster and better than humans can. For example, creative problem-solving AI could someday make snap decisions that save the lives of the passengers in a self-driving car if its sensors fail. AI with a creative component will be essential in developing highly automated systems that can respond appropriately to human life, says Mark Riedl, an associate professor at Georgia Institute of Technology's School of Interactive Computing. "The fact is, we do lots of little bits of creativity every single day; lots of problem-solving goes on," Riedl says. "If my son gets a toy stuck under the couch, I have to devise a tool from a hanger to get it out." Riedl points out human creativity is also important in human social interactions, even telling a well-timed joke or recognizing a pun. Computers struggle with such subtleties. An incomplete understanding of how humans construct metaphors, for example, was all it took for an experiment in Al-generated literature to compose a new Harry Potter chapter filled with nonsensical sentences such as, "The floor of the castle seemed like a large pile

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