Grade

Type of questions

English Senior High

どなたか3️⃣と4️⃣教えていただけませんか😭仮定法です😭😭

T246 T247 とがあれば 話し手の判断 T248 T249 T250 T251 T252 過去完了] 仮定法 ] S EXERCISE (26) 1 意味の通る英文になるように,[] の語句を並べかえて全文を書きなさい。 T254 T255 T256 (1) [ change / should / he / his plans / if J, he would tell us.. tury foods of monob off (2) [were/travel/to/ you / if] around the world, where would you go first? MIT installo shit toven i (3) [learn/if / to / my father / this / were / about J, he would be angry at me.wat (4) [ miss/ should/I/ this train / if ], I would be late for school. 次の英文を日本語にしなさい。 (1) Were I your mother, I would say the same thing to you.. (2) But for your advice, we would have lost the final match. that for hib M 18+ on D 「 (3) I went to the station by bike; otherwise I would have missed the train. dband blios 10 baum lelas of notally vud of smil aluil bed I (4) To talk with Nancy, you would realize that she is very friendly. beband shashate wet ①. se that she is 3 各組の英文がほぼ同じ意味になるように,( )に適切な語を入れなさい (1) (a) Were I you, I would apologize to Nick. (b) If ( ( ( mable ), I would apologize to Nick. Tim now. ) ( ho) that train, we would have gotten there in time. ) this river, they couldn't grow rice. (2) (a) Had we caught that train, we would have gotten there in time. Ins (b) If ( ) ( (3) (a) But for this river, they couldn't grow rice. (b) If it ( ) ( ) ( 4 日本語の意味に合うように,( )に適切な語を入れなさい。momari io lo dok (1) もう彼らは決心してもよいころだ。 ) they ( ) up their minds. d inoriw au etieiv ryanoh (2)もっと時間があれば、私たちのチームは準決勝で勝てたのに。 Tol suzunufo It's ( ) more time, our team ( (3) それが本当だったらなあ! If ( ) it ( ) true! 日本語の意味に合うように、英文を作りなさい。 )( )( ) the semifinal match. 00 regras >] stup 91 mam ar to no TRY A: (そろそろ寝る時間ですよ) B: Ican't. This game is too interesting!

Resolved Answers: 1
TOEIC・English Undergraduate

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

Unresolved Answers: 1