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英語 高校生

most の後ろのof themは省略していいのですか?? また but most have never before been so deeply convinced of the importance of their work.この文の訳し方がよくわからなく読めません... 続きを読む

講義音声 17 40 比較 《否定語+ 現在完了 [仮定法] + 比較》 の as [than] now の省略 UNESCO employees have been long devoted 〈to increasing S V M₁ C 40/88 international cooperation (in the areas (of education, science, and M2 culture))〉, but most have never before been so deeply 接 S 助 M1 M2 V convinced 〈 of the importance (of their work)〉. M3 1. 比 + 仮 こと 例 るの い。 C 仮 ださ 日本語訳例 例 ※1 *2 国連教育科学文化機関の職員は,教育, 科学, 文化の分野で国際協力を拡大するこ ※4 ※3 ※3 *5 と に長い間尽力してきたが,職員の大半は,自らの仕事の重要性を今ほど深く確信 したことはかつてなかった。 *6 直訳 ※1 UNESCO の訳は 「ユネスコ」 でも可です。 ※2 ※3 employees の訳は 「従事している人々」 「従事者」は可ですが 「従業員」は不適切です。 さざ have been devoted to ~ の訳は 「〜に献身してきた」 「~に打ち込んできた」 「~に身 [時 間]を捧げてきた」 「〜に専心してきた」 「〜に専念してきた」 「~に力を注いできた」 などでも可 とします。 ただし, 「~に没頭してきた」 は不自然です。 ※4 increasing ~は「(協力)を増やすこと」 「~の増加」 は不自然です。 「(国際的な協力)を高 止めることは可です。 「~を加速させること」は誤訳です。 ※ 5 目には most は most of them (=the employees) なので 「職員の大半」 とします。 ※6文の後半はas now 「今ほど」 を補って訳してください。 so deeply の soは省略されている as now に呼応する so なので, 「それほど (深く~を確信した)」 と訳さないように注意してください。 して 本 thei と訳 2. W 「私 で 辞書 「疲

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英語 高校生

赤線を引いているところがよくわからないのですが、まず、 1、母と議論するのは難しかったとありますが、何についての議論か 2、最後の分の「彼女は首に巻いた〜合図であった」は何を意味しているのでしょうか できれば要約をお願いしたいです🙇

14 第6問 次の文章を読み、下の問いに答えよ。 標準解答時間 9分 depressed. It was not the exam that made her feel that Christine came out of her last examination, feeling way, but the fact that it was the last one; it meant the end of the school year. She dropped in at the coffee 5 as usual, then went home early because there didn't 10 seem to be anything else to do. shop "Is that you, dear?" her mother called from the living room. She must have heard the front door close. Christine went in and sat on the sofa. "How was your exam, dear?" her mother asked. "Fine," said Christine flatly. It had been fine; she had passed. She was not a brilliant student, she knew, but she was hard-working. Her professors always wrote things like "A serious attempt" and "Well thought out but 15 perhaps lacking in energy" on her term papers; they gave her Bs, the occasional B*. She was taking Political Science and Economics, and hoped to get a job with the government after she graduated; with her father's connections she had a good chance. 20 "That's nice." Christine felt, bitterly, that her mother had only a vague idea of what an exam was. She was arranging roses in a vase; she had rubber gloves on to protect her hands as she always did when engaged in what she 25 called 'housework.' As far as Christine could tell, her housework consisted of arranging flowers in vases. Sometimes she cooked elegantly, but she thought of it as a hobby. It was hard, anyway, to argue with her mother. She was so easily upset that it was better to avoid 30 arguing with her.

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TOEIC・英語 大学生・専門学校生・社会人

下線部(1)の文構造が分かりません。特に2行目の文構造が分かりません。強調のdoであることは分かりますが、その後のthat以降が関係詞?かすらも分からないので、誰か教えて下さい!

次の英文は1991年に出版された本からのもので、 研究分野としての「人工知 能」 (Artificial Intelligence) について述べています。 下線部(1)~(3)を日本語に訳 しなさい。 What is Artificial Intelligence (AI)? Just about the only characterization of Al that would meet with universal acceptance is that it involves trying to make machines do tasks which are normally seen as requiring intelligence. There are countless refinements of this characterization: what sort of machines we want to consider; how we decide what tasks require intelligence and so on. One of the most important questions concerns the reasons why we want to make machines do such tasks. AI has always been split between people who want to make machines do tasks that require intelligence because they want more useful machines, and people who want to do it because they see it as a way of exploring how humans do such tasks. We will call the two approaches the engineering approach and the cognitive-science respectively. (2) (1) approach The techniques required for the two approaches are not always very different. For many of the tasks that engineering AI wants solutions to, the only systems we know about that can perform them are humans), so that, at least initially, the obvious way to design solutions is to try to mimic what we know about humans. For many of the tasks that cognitive-science Al wants solutions to, the evidence on how humans do them is too hard to interpret to enable us to construct computational models, so the only approach is to try to design solutions from scratch" and then see how well they fit what we know about humans. The main visible difference between the two approaches is in (3) their criteria for success; an engineer would be delighted to have create something that outperformed a person; a cognitive scientist would regard it as a failure. -1- M7 (492-61

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