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英語 高校生

2のCertainlyからの文構造が分かりません。and peopleとかもう無理です。お願いします🙇🏻‍♀️ 追加追加 and peopleは並列の1番最後ですか!? じゃあ、:はなんですか?毎回毎回どう訳したらいいのか分かりません。

構文・語句解説 第1段落 Language serves many functions. Certainly one of its most common and most important purposes is to help us describe various phenomena, such as events, situationg is to Pheno and people: “What is it?” Another purpose is to evaluate these same phenomena: “Is it good or bad?" 4Typically, we consider descriptions to be objective, whereas we consider evaluations to be subjective. 言語は多くの機能を果たしている。 2間違いなく、最も一般的で最も重要な目的の1つは、 我々が出来事や状況や人のような様々な現象を記述する, つまり 「それは何なのか」というこ とを記述するのを助けることである。 もう1つの目的は, これらの同じ現象を評価する,つま 「それは良いのか悪いのか」と評価することである。 4概して我々は、記述を客観的であると 考える一方で、評価を主観的であると考える。 ■□ certainly 「間違いなく, 確かに」 □ help Odo 「Oが・・・するのを助ける」 □ phenomena < phenomenon 「現象」の複数形。 □ situation 「状況」 □ evaluate 「(を) 評価する」

解決済み 回答数: 2
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

未解決 回答数: 1