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1 five different sorts
пять различных сортов/типовEnglish-Russian combinatory dictionary > five different sorts
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2 sort
[sɔːt]nсорт, вид, тип, разновидностьI have never said anything of the sort. — Я никогда ничего подобного не говорил.
I don't want to get you into any sort of trouble. — Не хочу втягивать вас в какие-либо неприятности.
His instructions were of laconic sort. — Он отдавал лаконичные инструкции.
It takes all sorts of fish to make the world. — ◊ Сколько голов, столько умов. /У всякой пташки свои замашки.
- good sort- ordinary sort
- cheap sort
- various sorts
- several sorts
- five different sorts
- same sort
- different sorts of things
- all sorts of people
- all sorts of dresses
- all sorts of devices
- all that sort of things
- convenient sort of car
- strange sort of story
- right sort of people
- curious sort of life
- gloomy sort of house
- queer sort of man
- this sort of candy
- sort of reward
- sort of hero
- sort of gift
- sort of way out
- some sort of animal
- that sort of thing
- shoes of every known sorts
- books of all sorts
- something of this sort
- woman of the right sort
- people of your sort
- biscuits of one sort
- winter sport of every sort
- of one sort or another
- in a troubled sort of way
- with a dazed sort of look
- classify smth in sorts
- take all sorts of pains
- it is a sort of box
- nothing of the sort!USAGE:(1.) Если выражение sort of употребляется с существительными в единственном числе, то оно обозначает род/вид/тип существительного: You are interested in this sort of thing, aren't you? Вы ведь интересуетесь такого рода вопросами? What sort of iron did she get? - A steam iron. Какой утюг она приобрела? - Паровой. В разговорной речи вместо выражения sort of часто употребляется оборот like this (that): I hate that sort of film/I hate films like that. (2.) Если выражение sort of употреблятся с существительным во множественном числе, то оно обозначает разновидности/сорта того, что названо существительным: They sell all sorts of shoes. Они продают обувь всех видов. (3.) See kind, n -
3 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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4 do
du: 1. 3rd person singular present tense - does; verb1) (used with a more important verb in questions and negative statements: Do you smoke?)2) (used with a more important verb for emphasis; ; ðo sit down)3) (used to avoid repeating a verb which comes immediately before: I thought she wouldn't come, but she did.)4) (used with a more important verb after seldom, rarely and little: Little did he know what was in store for him.)5) (to carry out or perform: What shall I do?; That was a terrible thing to do.) gjøre6) (to manage to finish or complete: When you've done that, you can start on this; We did a hundred kilometres in an hour.) gjøre, fullføre7) (to perform an activity concerning something: to do the washing; to do the garden / the windows.) vaske, rydde8) (to be enough or suitable for a purpose: Will this piece of fish do two of us?; That'll do nicely; Do you want me to look for a blue one or will a pink one do?; Will next Saturday do for our next meeting?) være nok, holde, passe, gjøre seg9) (to work at or study: She's doing sums; He's at university doing science.) arbeide med, ta seg av, studere10) (to manage or prosper: How's your wife doing?; My son is doing well at school.) greie seg, klare seg11) (to put in order or arrange: She's doing her hair.) ordne, sette i stand12) (to act or behave: Why don't you do as we do?) gjøre, handle, opptre13) (to give or show: The whole town gathered to do him honour.) vise14) (to cause: What damage did the storm do?; It won't do him any harm.) forårsake15) (to see everything and visit everything in: They tried to do London in four days.) gjøre, bese2. noun(an affair or a festivity, especially a party: The school is having a do for Christmas.) tilstelning, fest- doer- doings
- done
- do-it-yourself
- to-do
- I
- he could be doing with / could do with
- do away with
- do for
- done for
- done in
- do out
- do out of
- do's and don'ts
- do without
- to do with
- what are you doing withgjøre--------lage--------utføreI( hverdagslig)1) ( mest britisk) fest, selskap2) (barnespråk, hverdagslig) bæsj3) (amer., hverdagslig, også 'do, kort for hairdo) frisyre, hårfasong4) ( militærvesen) aksjon5) (britisk, gammeldags) bedrageri, svindel, narrestrekdo's and don'ts regler for hva man bør og ikke bør gjøre, råd og advarslerfair dos\/do's like for like, rett skal være rettmake a do of something (austr.) få noe til å lykkes, få noe til å klaffeIIsubst. \/dəʊ\/ eller doh( musikk) doIII \/duː\/, \/dʊ\/, \/də\/1) gjøre• do as you're told!• what am I to do?• oh, do!(bare) gjør det, du!• please, do!for all del, (bare) gjør det!2) gjøre, prestere, yte, utrette, utføre3) ( om tilvirkning) lage, male, tegne, skrive, fremstille, ta4) klare, få til, lykkes i, greievis meg hva du kan \/ hvis meg hva du duger tildenne gangen klarte jeg det \/ denne gangen lyktes jeg5) ( om arbeidsoppgave) gjøre, lage, klare, ordne, gjøre i stand, sette i stand, ta seg av, ta hånd om, stå for• who did the drying-up?• first I'll do the stockings, and then I'll do the windowsførst skal jeg stoppe strømper, og så skal jeg pusse vinduenejeg tok oppvasken \/ jeg vasket opp• I'll do you next, sir6) (om yrke, hobby eller studium) vie seg til, sysle med, arbeide med, arbeide på, gjøre, holde på med, studere, lese• what are you doing?7) arrangere8) ( matlaging) anrette, lage til, tilberede, koke, steke9) (om skuespill, opera eller rolle) oppføre, spille10) (om hastighet, distanse e.l.) tilbakelegge, gå, kjøre, løpe, gjøre (hverdagslig)11) (hverdagslig, om turist e.l.) se, bese, gjøre12) løse, klare, legge13) (hverdagslig, om fengselsstraff) sone, sitte inne14) ( hverdagslig) lure, narre, svindle, snyte16) ( hverdagslig) gi kost og losji til, ha kost og losji17) greie seg, klare seg• how is he doing at school?• how are you doing?hvordan går det? \/ hvordan har du det?18) ( om noe som er tilstrekkelig eller akseptabelt) være nok, greie seg, klare seg, passe, gå andet er bra \/det holder \/ det klarer segnå klarer det seg \/ nå får det være nok \/ nå kan du holde oppdet går ikke \/ det duger ikke19) (slang, om narkotika) gå på, bruke20) ( hverdagslig) ta knekken påbe doing holde på med, være opptatt med, foreta seg, ha fore• are you doing anything tonight?foregå, hende, skjebe doing well gjøre det bra være på bedringens veibe done for være ferdig, være fortapt, være solgt, være i alvorlige vanskeligheterhan er ferdig \/ han er solgt \/ han er fortaptbe done in være utmattet, være utkjørt, være helt ferdig, være drept (slang)be done up være utkjørt, være helt ferdigbe done up in være kledd i, være iførtbe\/have done with være over, være et avsluttet kapittel, være ute av verdenla oss få en slutt på det \/ vi må få saken ut av verdenbe hard done by bli dårlig behandletbe up and doing være i full vigør, være i full virksomhetdo a freeze ( slang) fryse seg fordervetdo and die kjempe og falledo a slow burn ( slang) være rødglødende av sinnedo as you would be done by gjør mot andre som du vil at de skal gjøre mot degdo away with avskaffe, bli kvitt, kvitte seg med ta livet av, avlive, rydde av veiendo by behandle• do well by my cat!do down ( hverdagslig) lure, snyte, ta ved nesen rakke ned på, tråkke på, svertedo for duge til, passe som( hverdagslig) stelle huset forfå tak i• how will you do for water?ta knekken på, kverke, myrde, drepe, gjøre av meddo fractions ( matematikk) regne med brøkdo in ( slang) kverke, drepe, gjøre det av med ta knekken på, knekke, ruinere lure, snyte, ta ved nesendo into oversette til, gjøre tildet gjorde utslaget \/ det gjorde susendo one's best gjøre sitt beste, gjøre seg umakdo one's duty gjøre sin pliktdo oneself in ta livet av segdo oneself well være glad i å leve, nyte livetdo or die seire elle dø, vinne eller forsvinne, klare seg eller gå underdo out rydde opp, sette i stand, male (og tapetsere)do over ( hverdagslig) pusse opp, gjøre om jule opp, banke opp, overfalle og rane (spesielt amer.) gjøre om igjendo somebody a favour gjøre noen en tjenestedo somebody credit\/honour gjøre noen æredo somebody out of something lure noen for noe, snyte noen for noedo something for someone gjøre noe for noen, hjelpe noen med noe• what can I do for you?hva kan jeg hjelpe deg med? \/ kan jeg hjelpe deg med noe?do something in ( hverdagslig) skade, såredo something twice se ➢ twicedo the backstroke svømme ryggdo time ( om fengselsstraff) sitte innedo to death ta livet avdo to others as you would have them do to you gjør mot andre som du vil at de skal gjøre imot deg, vær mot andre som du vil at de skal være med degdo up gjøre i stand, sette i stand, reparere gjøre om, pusse opppakke innknappe, hekte, kneppe igjen( hverdagslig) ruineredo up one's face sminke segdo up one's hair sette opp håretdo well trives, ha det braklare seg godthun klarer seg bra \/ det går bra for hennedo well by somebody behandle noen pentdo well for oneself gjøre det godtdet går veldig bra for ham \/ han gjør det godt \/ han klarer seg brado well to do something eller do wisely to do something gjøre klokt i å gjøre noedo with gjøre med• what am I to do with him?(kunne) klare seg med, greie seg med, trenge, behøve, tenke segdo with oneself foreta seg, sysselsette seg medvære fra segdo without klare seg uten, unnværevi er bare glad til om vi slipper streiker \/ vi greier oss godt uten streikereasy does it rolig nå, ta det roligfree to do something fri til å gjøre noehave to do with ha å gjøre med, angådet har ingenting med deg å gjøre \/ det angår ikke deghow do you do? ( ved presentasjon) god dag, hvordan står det til?, hvordan har du det?make do with greie seg med, klare seg medmake it do! ( også) det får holde!, det får være nok!make something do få noe til å holde, klare seg med noenothing doing! ( hverdagslig) ikke prøv deg!, aldri i livet!so said, so done se ➢ say, 2when (after) all is said and done se ➢ say, 2IVhjelpeverb \/duː\/, \/dʊ\/, \/də\/1) i spørsmål og negative setninger• do you know him?• so you want to be a doctor, do you?så du vil altså bli lege, du?• you saw it, didn't you?du så det, ikke sant?• did you like it?• do I get off here?• doesn't he know it?• don't go!2) ved henvisning tilbake til et tidligere nevnt verb• he didn't go, nor did Ihan gikk ikke, og det gjorde ikke jeg heller3) forsterkendejeg skulle virkelig ønske jeg kunne hjelpe deg \/ om jeg bare kunne hjelpe deghan lovte at han skulle komme, og det gjorde han også• I did see him, but...jeg så ham nok, men...• do come!for all del, bare kom! \/ kom nå!4) i setninger innledet med nektende eller forsterkende adverb -
5 of
[ɔv] ( полная форма); [əv] ( редуцированная форма)предл.1) указывает наа) отношение принадлежности; передаётся род. падежомa dog of John's — собака, принадлежащая Джону
б) владение чем-л.; передаётся род. падежомв) авторство, деятеля или создателя; передаётся род. падежома) уст. после глагола в пассиве; передаётся твор. падежомEverything seems to be done of those who govern Spain to keep travellers out of that country. — Теми, кто управляет Испанией, кажется, было сделано всё, чтобы не допустить путешественников в эту страну.
б) с (чьей-л.) стороны ( перед глаголом в инфинитиве)It was a cruel act of him to do it. — С его стороны было жестоко так поступать.
It was a cunning trick of him to do it. — Это была хитрая уловка с его стороны.
It is clever / stupid / silly / unkind / wrong / wise of him to go there. — Он умно (глупо, нелюбезно, неверно, мудро) поступает, что едет туда.
It was careless of you to leave the door unlocked. — Вы поступили очень легкомысленно, оставив дверь незапертой.
3) из, от (указывает на отношение части и целого; передаётся род. падежом)most of the army — бо́льшая часть армии
4) указывает на принадлежность к какой-л. организации; передаётся род. падежом5) указывает на содержимое какого-л. вместилища; передаётся род. падежом6) указывает на состав, структуру; передаётся род. падежом7) после слов типа "class", "order", "genus", "species", "kind", "sort", "manner"; указывает на класс, вид, разновидностьof all kinds / sorts — всякого рода, самые разнообразные
Recipes of all kinds to fit any taste. — Самые разнообразные рецепты на любой вкус.
It was a kind of magic. — Это было своего рода волшебство.
Of the eagle, there are but few species. — Существует лишь несколько разновидностей орлов.
8) из (указывает на выделение лица или предмета из множества аналогичных лиц или предметов)He gave me a dinner of dinners. — Он угостил меня самым лучшим обедом, который только можно себе представить.
She's planning to record the best of her songs. — Она планирует записать лучшие из своих песен.
9) из (указывает на материал, из которого что-л. сделано)a dress of silk — платье из шёлка, шёлковое платье
10) указывает на вкус, запах; передаётся твор. падежомThe shirt smelled of perfume. — Рубашка пахла духами.
His house reeked of tobacco. — Его дом насквозь пропах табаком.
11) указывает наа) качество, свойство; передаётся род. падежомcoins of equal value / worth — монеты равного достоинства
б) возраст; передаётся род. падежом12) указывает на область распространения какого-л. качества, свойстваhard of hearing — тугой на ухо, плохо слышащий
13)а) от, из-за, в результате, по причине ( указывает на причину)He died of pneumonia. — Он умер от пневмонии.
She did it of necessity. — Она сделала это по необходимости.
б) от, у ( указывает на источник)I learned it of him. — Я узнал это от него.
He asked it of me. — Он спросил это у меня.
14) из (указывает на происхождение; также передаётся род. падежом)He comes of a worker's family. — Он из рабочей семьи.
15) от (указывает на направление, положение в пространстве, расстояние)17) указывает на название месяца после даты; передаётся род. падежом18) указывает наа) период времени, длительностьof a week's duration — недельный, продолжающийся в течение недели
б) уст. время совершения повторного действия19) указывает на объект действия; передаётся род. падежом20) от (указывает на избавление, лишение чего-л.; передаётся также род. падежом)to cure of a disease / illness — вылечить от болезни
21)а) о, об, относительно (указывает на предмет разговора, воспоминаний, слухов)б) в (указывает на предмет подозрений, обвинений, опасений, зависти)to be sure of smb.'s innocence — быть уверенным в чьей-л. невиновности
22) вводит приложение, выраженное именем собственным23) употребляется в именных оборотах, где одно существительное выступает в качестве образного эпитета для другогоthe devil of a worker — просто дьявол, а не работник
См. также в других словарях:
different — different, diverse, divergent, disparate, various are comparable when they are used to qualify plural nouns and mean not identical or alike in kind or character. Different often implies little more than distinctness or separateness {four… … New Dictionary of Synonyms
Five Go Down to the Sea — Infobox Book | name = Five Go Down To The Sea image caption = author = Enid Blyton country = United Kingdom language = English cover artist = series = The Famous Five series genre = Mystery, Adventure novel publisher = Hodder Stoughton pub date … Wikipedia
different — I. adjective Etymology: Middle English, from Latin different , differens, present participle of differre Date: 14th century 1. partly or totally unlike in nature, form, or quality ; dissimilar < could hardly be more different > often followed by… … New Collegiate Dictionary
The Five Heartbeats — Infobox Film | name = The Five Heartbeats writer = Robert Townsend Keenan Ivory Wayans [http://www.vh1.com/movies/movie/11969/plot.jhtml] starring = Robert Townsend Michael Wright Leon Robinson Harry J. Lennix Tico Wells Harold Nicholas Diahann… … Wikipedia
Master of the Five Magics — Author(s) Lyndon Hardy … Wikipedia
Báb — For the village in the Nitra District of Slovakia, see Báb, Nitra District. The title of this article contains the character á. Where it is unavailable or not desired, the name may be represented as Bab. Shrine of the Báb in Haifa, Israel … Wikipedia
France — /frans, frahns/; Fr. /frddahonns/, n. 1. Anatole /ann nann tawl /, (Jacques Anatole Thibault), 1844 1924, French novelist and essayist: Nobel prize 1921. 2. a republic in W Europe. 58,470,421; 212,736 sq. mi. (550,985 sq. km). Cap.: Paris. 3.… … Universalium
language — /lang gwij/, n. 1. a body of words and the systems for their use common to a people who are of the same community or nation, the same geographical area, or the same cultural tradition: the two languages of Belgium; a Bantu language; the French… … Universalium
literature — /lit euhr euh cheuhr, choor , li treuh /, n. 1. writings in which expression and form, in connection with ideas of permanent and universal interest, are characteristic or essential features, as poetry, novels, history, biography, and essays. 2.… … Universalium
evolution — evolutional, adj. evolutionally, adv. /ev euh looh sheuhn/ or, esp. Brit., /ee veuh /, n. 1. any process of formation or growth; development: the evolution of a language; the evolution of the airplane. 2. a product of such development; something… … Universalium
epistemology — epistemological /i pis teuh meuh loj i keuhl/, adj. epistemologically, adv. epistemologist, n. /i pis teuh mol euh jee/, n. a branch of philosophy that investigates the origin, nature, methods, and limits of human knowledge. [1855 60; < Gk… … Universalium
