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1 set of defining relations
Математика: множество определяющих соотношенийУниверсальный англо-русский словарь > set of defining relations
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2 set of defining relations
English-Russian scientific dictionary > set of defining relations
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3 defining
определяющий, определение global defining function ≈ глобальная определяющая функция orienting defining set ≈ ориентирующее определяющее множество set of defining relations ≈ множество определяющих соотношений - defining axiom - defining collection - defining contrast - defining contrasts - defining equation - defining expression - defining family - defining group - defining interaction - defining matrix - defining operation - defining operator - defining polynomial - defining relation - defining relationship - defining ring - defining system - defining term - defining value Определение defining определяющийБольшой англо-русский и русско-английский словарь > defining
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4 set
1) набор; комплект- semiconductor assembly set - set of Belleville springs - set of conventional set - set of drawing instruments - set of gate patterns - set of gauge blocks - set of logical elements - set of statistical data - set of technical aids- snap set2) партия3) совокупность; множество4) установка; агрегат- desk telephone set - dial telephone set- gear set- local-battery telephone set - man-pack radio set - multi-operator welding set - sound-powered telephone set - wall telephone set5) регулировка; настройка || регулировать; настраивать6) группа; ансамбль7) класс; семейство9) схватывание || схватываться10) затвердевание || затвердевать11) крепление || закреплять12) геол. свита пород13) осадка (грунта) || оседать ( о грунте)14) радиоточка15) спорт сет16) включать, приводить в действие17) мат. множествоset closed under operation — множество, замкнутое относительно операции
- absolutely compact set - absolutely continuous set - absolutely convex set - absolutely irreducible set - absolutely measurable set - affinely independent set - affinely invariant set - algebraically independent set - almost finite set - almost full set - angular cluster set - asymptotically indecomposable set - at most denumerable set - centro-symmetric set - completely bounded set - completely continuous set - completely generating set - completely improper set - completely irreducible set - completely nonatomic set - completely normal set - completely ordered set - completely productive set - completely reducible set - completely separable set - constructively nonrecursive set - convexly independent set - countably infinite setto set aside — не учитывать, не принимать во внимание; откладывать
- cut set- cyclically ordered set - deductively inconsistent set - derived set - doubly well-ordered set - dual set of equations - dynamically disconnected set - effectively enumerable set - effectively generating set - effectively nonrecursive set - effectively simple set - enumeration reducible set - finely perfect set - finitely definite set - finitely measurable set- flat set- full set- fully reducible set - functionally closed set - functionally complete set - functionally open set - fundamental probability set - generalized almost periodic set- goal set- internally stable set- knot set- left directed set - left normal set - left-hand cluster set - linearly ordered set - local peak set - locally arcwise set - locally closed set - locally compact set - locally connected set - locally contractible set - locally convex set - locally finite set - locally invariant set - locally negligible set - locally null set - locally polar set - locally polyhedral set - metrically bounded set - metrically dense set - multiply ordered set - nearly analytic set - nearly closed set - nonvoid set - normally ordered set- null set- open in rays set - partitioned data set- peak set- pole set- positively homothetic set- pure set- radially open set - rationally independent set - recursively creative set - recursively indecomposable set - recursively isomorphic set - recursively productive set - regularly convex set - regularly situated sets - relatively closed set - relatively compact set - relatively dense set - relatively interpretable set - relatively open set - right normal set - right-hand cluster set- scar set- sequentially complete set - serially ordered set - set of elementary events - set of first category - set of first kind - set of first species - set of possible outcomes - set of probability null - set of second category - set of second species - shift invariant set - simply connected set - simply ordered set - simply transitive set- skew set- star set- strongly bounded set - strongly closed set - strongly compact set - strongly connected set - strongly convex set - strongly dependent set - strongly disjoint sets - strongly enumerable set - strongly independent set - strongly minimal set - strongly polar set - strongly reducible set - strongly separated set - strongly simple set - strongly stratified set- tame set- tautologically complete set - tautologically consistent set - tautologically inconsistent set- test set- thin set- tie set- time set- totally disconnected set - totally imperfect set - totally ordered set - totally primitive set - totally unimodular set - totally unordered set - truth-table reducible set - uniformly bounded set - uniformly continuous set - uniformly convergent set - uniformly integrable set - uniformly universal set - unilaterally connected set- unit set- vacuous set- void set- weakly compact set - weakly convex set - weakly n-dimensional set - weakly stratified set - weakly wandering set - well chained set - well founded set - well measurable set - well ordering set - well quasiordered set -
5 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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6 to
1.go to work/to the theatre — zur Arbeit/ins Theater gehen
to Paris/France — nach Paris/Frankreich
throw the ball to me — wirf mir den Ball zu
2) (towards a condition or quality) zu3) (as far as) bis zufrom London to Edinburgh — von London [bis] nach Edinburgh
increase from 10 % to 20 % — von 10 % auf 20 % steigen
with one's back to the wall — mit dem Rücken zur Wand
5) (implying comparison, ratio, etc.)[compared] to — verglichen mit; im Vergleich zu
it's ten to one he does something — die Chancen stehen zehn zu eins, dass er etwas tut
6) introducing relationship or indirect objectto somebody/something — jemandem/einer Sache (Dat.)
lend/explain etc. something to somebody — jemandem etwas leihen/erklären usw.
relate to something — sich auf etwas (Akk.) beziehen
secretary to the Minister — Sekretär des Ministers
that's all there is to it — mehr ist dazu nicht zu sagen
what's that to you? — was geht das dich an?
7) (until) bisto the end — bis zum Ende
five [minutes] to eight — fünf [Minuten] vor acht
8) with infinitive of a verb zu; expressing purpose, or after academic.ru/75540/too">too um [...] zutoo young to marry — zu jung, um zu heiraten; zu jung zum Heiraten
to rebel is pointless — es ist sinnlos zu rebellieren
he woke to find himself in a strange room — er erwachte und fand sich in einem fremden Zimmer wieder
he would have phoned but forgot to — er hätte angerufen, aber er vergaß es
2.she didn't want to go there, but she had to — sie wollte nicht hingehen, aber sie musste
[tuː] adverb1) (just not shut)be to — [Tür, Fenster:] angelehnt sein
2)* * *1. [tə,tu] preposition1) (towards; in the direction of: I cycled to the station; The book fell to the floor; I went to the concert/lecture/play.) zu, auf2) (as far as: His story is a lie from beginning to end.) bis3) (until: Did you stay to the end of the concert?) bis4) (sometimes used to introduce the indirect object of a verb: He sent it to us; You're the only person I can talk to.) zu, mit5) (used in expressing various relations: Listen to me!; Did you reply to his letter?; Where's the key to this door?; He sang to (the accompaniment of) his guitar.) zu, für6) (into a particular state or condition: She tore the letter to pieces.) in7) (used in expressing comparison or proportion: He's junior to me; Your skill is superior to mine; We won the match by 5 goals to 2.) gegenüber, zu8) (showing the purpose or result of an action etc: He came quickly to my assistance; To my horror, he took a gun out of his pocket.) zu9) ([tə] used before an infinitive eg after various verbs and adjectives, or in other constructions: I want to go!; He asked me to come; He worked hard to (= in order to) earn a lot of money; These buildings were designed to (= so as to) resist earthquakes; She opened her eyes to find him standing beside her; I arrived too late to see him.) zu, um zu10) (used instead of a complete infinitive: He asked her to stay but she didn't want to.) zu2. [tu:] adverb1) (into a closed or almost closed position: He pulled/pushed the door to.) zu2) (used in phrasal verbs and compounds: He came to (= regained consciousness).) zu sich, dran•* * *to[tu:, tu, tə]I. PREPOSITION, nach + dat, zu + datshe walked over \to the window sie ging [hinüber] zum Fenster [o ans Fenster]we're going \to town wir gehen/fahren in die Stadtthey go \to work on the bus sie fahren mit dem Bus zur ArbeitI'm going \to a party/concert ich gehe auf eine Party/ein Konzertshe has to go \to a meeting now sie muss jetzt zu einem Meeting [gehen]we moved \to Germany last year wir sind letztes Jahr nach Deutschland gezogenhe flew \to the US er flog in die USAshe's never been \to Mexico before sie ist noch nie [zuvor] in Mexiko gewesenmy first visit \to Africa mein erster Aufenthalt in Afrikathis is a road \to nowhere! diese Straße führt nirgendwohin!parallel \to the x axis parallel zur x-Achsefrom here \to the station von hier [bis] zum Bahnhofon the way \to the mountains/the sea/the town centre auf dem Weg in die Berge/zum Meer/ins [o zum] Stadtzentrum\to the north/south nördlich/südlichtwenty miles \to the north of the city zwanzig Meilen nördlich der Stadtthe suburbs are \to the west of the city die Vororte liegen im Westen der Stadtfrom place \to place von Ort zu Ort\to the right/left nach rechts/linksthere \to the right dort rechtshe's standing \to the left of Adrian er steht links neben Adrian, in + datshe goes \to kindergarten sie geht in den Kindergartenhe goes \to university er geht auf die Universitätdo you go \to church? gehst du in die Kirche?I go \to the gym twice a week ich gehe zweimal wöchentlich zum Fitnessan invitation \to a wedding eine Einladung zu einer HochzeitI've asked them \to dinner ich habe sie zum Essen eingeladenshe took me out \to lunch yesterday sie hat mich gestern zum Mittagessen ausgeführt [o eingeladenshe pointed \to a distant spot on the horizon sie zeigte auf einen fernen Punkt am Horizontto have one's back \to sth/sb etw/jdm den Rücken zudrehenback \to front verkehrt herumthey were dancing cheek \to cheek sie tanzten Wange an Wangeshe put her hand \to his breast sie legte die Hand auf seine Brustshe clasped the letter \to her bosom sie drückte den Brief an ihre Brusttie the lead \to the fence mach die Leine am Zaun festthey fixed the bookshelves \to the wall sie brachten die Bücherregale an der Wand anstick the ads \to some paper klebe die Anzeigen auf ein Blatt Papier7. (with indirect object)I lent my bike \to my brother ich habe meinem Bruder mein Fahrrad geliehengive that gun \to me gib mir das Gewehrchildren are often cruel \to each other Kinder sind oft grausam zueinanderwho's the letter addressed \to? an wen ist der Brief adressiert?what have they done \to you? was haben sie dir [an]getan?her knowledge proved useful \to him ihr Wissen erwies sich als hilfreich für ihnthey made a complaint \to the manager sie reichten beim Geschäftsleiter eine Beschwerde eina threat \to world peace eine Bedrohung des Weltfriedens [o für den Weltfrieden]to be grateful \to sb jdm dankbar seinto be married \to sb mit jdm verheiratet seinto tell/show sth \to sb jdm etw erzählen/zeigenand what did you say \to that? und was hast du dazu gesagt?he finally confessed \to the crime er gestand schließlich das Verbrechenthis is essential \to our strategy dies ist ein wesentlicher Bestandteil unserer Strategiea reference \to Psalm 22:18 ein Verweis auf Psalm 22:18her reply \to the question ihre Antwort auf die Frageand what was her response \to that? und wie lautete ihr Antwort darauf?the keys \to his car seine Autoschlüsselthe top \to this pen die Kappe, die auf diesen Stift gehörtshe has a mean side \to her sie kann auch sehr gemein seinthere is a very moral tone \to this book dieses Buch hat einen sehr moralischen Untertonthere's a funny side \to everything alles hat auch seine komische SeiteI prefer beef \to seafood ich ziehe Rindfleisch Meeresfrüchten vorshe looked about thirty \to his sixty neben ihm mit seinen sechzig Jahren wirkte sie wie dreißigto be comparable \to sth mit etw dat vergleichbar sein[to be] nothing \to sth nichts im Vergleich zu etw dat [sein]her wage is nothing \to what she could earn ihr Einkommen steht in keinem Vergleich zu dem, was sie verdienen könnteto be superior \to sb jdm übergeordnet sein, höher stehen als jdPaul beat me by three games \to two Paul hat im Spiel drei zu zwei gegen mich gewonnenManchester won three \to one Manchester hat drei zu eins gewonnen, zu + datI read up \to page 100 ich habe bis Seite 100 gelesenunemployment has risen \to almost 8 million die Arbeitslosigkeit ist auf fast 8 Millionen angestiegencount \to 20 zähle bis 20it's about fifty miles \to New York es sind [noch] etwa fünfzig Meilen bis New Yorkhe converted \to Islam er ist zum Islam übergetretenhis expression changed from amazement \to joy sein Ausdruck wechselte von Erstaunen zu Freudethe change \to the metric system der Wechsel zum metrischen Systemher promotion \to department manager ihre Beförderung zur Abteilungsleiterinthe meat was cooked \to perfection das Fleisch war bestens zubereitethe drank himself \to death er trank sich zu Todeshe nursed me back \to health sie hat mich [wieder] gesund gepflegtsmashed \to pieces in tausend Stücke geschlagenshe was close \to tears sie war den Tränen nahehe was thrilled \to bits er freute sich wahnsinnigthe shop is open \to 8.00 p.m. der Laden hat bis 20 Uhr geöffnetwe're in this \to the end wir führen dies bis zum Endeand \to this day... und bis auf den heutigen Tag...it's only two weeks \to your birthday! es sind nur noch zwei Wochen bis zu deinem Geburtstag!16. (including)▪ from... \to... von... bis...from beginning \to end von Anfang bis Endefrom morning \to night von morgens bis abendsfront \to back von vorne bis hinten, von allen SeitenI read the document front \to back ich habe das Dokument von vorne bis hinten gelesenhe's done everything from snowboarding \to windsurfing er hat von Snowboarden bis Windsurfen alles [mal] gemachtfrom simple theft \to cold-blooded murder vom einfachen Diebstahl bis zum kaltblütigen Mordit's twenty \to six es ist zwanzig vor sechs\to my relief/horror/astonishment zu meiner Erleichterung/meinem Entsetzen/meinem Erstaunenmuch \to her surprise zu ihrer großen Überraschung\to me, it sounds like she's ending the relationship für mich hört sich das an, als ob sie die Beziehung beenden wolltethat outfit looks good \to me das Outfit gefällt mir gutif it's acceptable \to you wenn Sie einverstanden sindthis would be \to your advantage das wäre zu deinem Vorteil, das wäre für dich von Vorteildoes this make any sense \to you? findest du das auf irgendeine Weise einleuchtend?fifty pounds is nothing \to him fünfzig Pfund sind nichts für ihnwhat's it \to you? ( fam) was geht dich das an?he works as a personal trainer \to the rich and famous er arbeitet als Personal Trainer für die Reichen und Berühmtenthey are hat makers \to Her Majesty the Queen sie sind Hutmacher Ihrer Majestät, der Königineconomic adviser \to the president Wirtschaftsberater des Präsidentenshe was Ophelia \to Olivier's Hamlet in der Verfilmung von Olivier spielte sie neben Hamlet die Opheliahere's \to you! auf dein/Ihr Wohl!\to the cook! auf den Koch/die Köchin!the record is dedicated \to her mother die Schallplatte ist ihrer Mutter gewidmetI propose a toast \to the bride and groom ich bringe einen Toast auf die Braut und den Bräutigam ausa memorial \to all the soldiers who died in Vietnam ein Denkmal für alle im Vietnamkrieg gefallenen Soldaten23. (per)the car gets 25 miles \to the gallon das Auto verbraucht eine Gallone auf 25 Meilenthree parts oil \to one part vinegar drei Teile Öl auf einen Teil Essigthe odds are 2 \to 1 that you'll lose die Chancen stehen 2 zu 1, dass du verlierstshe awoke \to the sound of screaming sie wurden durch laute Schreie wachI like exercising \to music ich trainiere gerne mit MusikI can't dance \to this sort of music ich kann zu dieser Art Musik nicht tanzenthe band walked on stage \to rapturous applause die Band zog unter tosendem Applaus auf die Bühnethirty \to thirty-five people dreißig bis fünfunddreißig Leuteten \to the power of three zehn hoch drei27.▶ that's all there is \to it das ist schon alles▶ there's not much [or nothing] \to it das ist nichts Besonderes, da ist nichts Besonderes dabei1. (expressing future intention) zushe agreed \to help sie erklärte sich bereit zu helfenI'll have \to tell him ich werde es ihm sagen müssenI don't expect \to be finished any later than seven ich denke, dass ich spätestens um sieben fertig sein werdehe lived \to see his first grandchild er durfte erleben, dass sein erstes Enkelkind geboren wurdeI have \to go on a business trip ich muss auf eine Geschäftsreisethe company is \to pay over £500,000 die Firma muss über 500.000 Pfund bezahlenhe's going \to write his memoirs er wird seine Memoiren schreibenI have some things \to be fixed ich habe einige Dinge zu reparierenBlair \to meet with Bush Blair trifft Bushto be about \to do sth gerade etw tun wollen, im Begriff sein, etw zu tun2. (forming requests) zushe was told \to have the report finished by Friday sie wurde gebeten, den Bericht bis Freitag fertigzustellenhe told me \to wait er sagte mir, ich solle wartenI asked her \to give me a call ich bat sie, mich anzurufenwe asked her \to explain wir baten sie, es uns zu erklärenyou've not \to do that du sollst das nicht tunthat man is not \to come here again der Mann darf dieses Haus nicht mehr betretenyoung man, you're \to go to your room right now junger Mann, du gehst jetzt auf dein Zimmer3. (expressing wish) zuI need \to eat something first ich muss zuerst etwas essenI'd love \to live in New York ich würde nur zu gern in New York lebenwould you like \to dance? möchten Sie tanzen?that child ought \to be in bed das Kind sollte [schon] im Bett seinI want \to go now ich möchte jetzt gehenI need \to go to the bathroom ich muss mal auf die Toilettedo you want \to come with us? willst du [mit uns] mitkommen?I'd love \to go to France this summer ich würde diesen Sommer gern nach Frankreich fahren4. (omitting verb)are you going tonight? — I'm certainly hoping \to gehst du heute Abend? — das hoffe ich sehrwould you like to go and see the Russian clowns? — yes, I'd love \to möchtest du gern die russischen Clowns sehen? — ja, sehr gerncan you drive? — yes I'm able \to but I prefer not \to kannst du Auto fahren? — ja, das kann ich, aber ich fahre nicht gernit's not likely \to happen es ist unwahrscheinlich, dass das geschieht, das wird wohl kaum geschehenI was afraid \to tell her ich hatte Angst, es ihr zu sagenhe's able \to speak four languages er spricht vier Sprachenshe's due \to have her baby sie bekommt bald ihr BabyI'm afraid \to fly ich habe Angst vorm Fliegenshe's happy \to see you back sie ist froh, dass du wieder zurück bistI'm sorry \to hear that es tut mir leid, das zu höreneasy \to use leicht zu bedienenlanguages are fun \to learn Sprachenlernen macht Spaßit is interesting \to know that es ist interessant, das zu wissenthree months is too long \to wait drei Monate zu warten ist zu langI'm too nervous \to talk right now ich bin zu nervös, um jetzt zu sprechenI'm going there \to see my sister ich gehe dort hin, um meine Schwester zu treffenshe's gone \to pick Jean up sie ist Jean abholen gegangenmy second attempt \to make flaky pastry mein zweiter Versuch, einen Blätterteig zu machenthey have no reason \to lie sie haben keinerlei Grund zu lügenI have the chance \to buy a house cheaply ich habe die Gelegenheit, billig ein Haus zu kaufensomething \to eat etwas zu essenthe first person \to arrive die erste Person, die ankam [o eintraf]Armstrong was the first man \to walk on the moon Armstrong war der erste Mann, der den Mond betrat7. (expressing intent)we tried \to help wir versuchten zu helfen\to make this cake, you'll need... für diesen Kuchen braucht man...he managed \to escape es gelang ihm zu entkommenI don't know what \to do ich weiß nicht, was ich tun sollI don't know where \to begin ich weiß nicht, wo ich anfangen sollshe was wondering whether \to ask David about it sie fragte sich, ob sie David deswegen fragen solltecan you tell me how \to get there? könne Sie mir sagen, wie ich dort hinkomme?9. (introducing clause)\to tell the truth [or \to be truthful] um die Wahrheit zu sagen\to be quite truthful with you, Dave, I never really liked the man ich muss dir ehrlich sagen, Dave, ich konnte diesen Mann noch nie leiden\to be honest um ehrlich zu sein10. (in consecutive acts) um zuhe looked up \to greet his guests er blickte auf, um seine Gäste zu begrüßenshe reached out \to take his hand sie griff nach seiner Handthey turned around \to find their car gone sie drehten sich um und bemerkten, dass ihr Auto verschwunden warIII. ADVERBinv zuto come \to zu sich dat kommenthey set \to with a will, determined to finish the job sie machten sich mit Nachdruck daran, entschlossen, die Arbeit zu Ende zu bringen* * *[tuː]1. PREPOSITION1) = in direction of, towards zuto go to the doctor( 's)/greengrocer's etc — zum Arzt/Gemüsehändler etc gehen
to go to the opera/concert etc — in die Oper/ins Konzert etc gehen
to go to France/London — nach Frankreich/London fahren
to go to Switzerland —
to go to school to go to bed — zur Schule or in die Schule gehen ins or zu Bett gehen
he came up to where I was standing —
to turn a picture/one's face to the wall — ein Bild/sich mit dem Gesicht zur Wand drehen
2) = as far as, until bisto count (up) to 20 —
3) = in in (+dat)I have never been to Brussels/India — ich war noch nie in Brüssel/Indien
4)= secure to
he nailed it to the wall/floor etc — er nagelte es an die Wand/auf den Boden etcthey tied him to the tree —
5)to give sth to sb — jdm etw gebena present from me to you —
I said to myself... — ich habe mir gesagt...
he was muttering/singing to himself — er murmelte/sang vor sich hin
"To... " (on envelope etc) to pray to God — "An (+acc)..." zu Gott beten
6) in toasts auf (+acc)to drink to sb's health — auf jds Wohl (acc) trinken
7)= next to
with position bumper to bumper — Stoßstange an Stoßstangeclose to sb/sth — nahe bei jdm/etw
at right angles to the wall —
to the west (of)/the left (of) — westlich/links (von)
8) with expressions of time vorit was five to when we arrived — es war fünf vor, als wir ankamen
9) = in relation to zuA is to B as C is to D —
they won by 4 goals to 2 — sie haben mit 4:2 (spoken: vier zu zwei) Toren gewonnen
one person to a room — eine Person pro Zimmer
11) MATH3 to the 4th, 3 to the power of 4 — 3 hoch 4
12)= concerning
what do you say to the idea? — was hältst du von der Idee?to repairing television £30 (Comm) — (für) Reparatur eines Fernsehers £ 30
13)= according to
to the best of my knowledge — nach bestem Wissen14)= accompanied by
to sing to the guitar —to sing sth to the tune of... — etw nach der Melodie von... singen
to dance to a tune/a band — zu einer Melodie/den Klängen or der Musik eines Orchesters tanzen
15)= of
ambassador to America/the King of France — Botschafter in Amerika/am Hofe des Königs von Frankreich16)= producing
to everyone's surprise — zu jedermanns Überraschung17)to begin to do sth — anfangen, etw zu tunI want him to do it — ich will, dass er es tut
18)to see him now, one would never think... — wenn man ihn jetzt sieht, würde man nicht glauben,...19)infinitive expressing purpose, result
to eat/work to live —I did it to help you — ich tat es, um dir zu helfen
to get to the point,... — um zur Sache zu kommen,...
well, not to exaggerate... — ohne zu übertreiben,...
I arrived to find she had gone — als ich ankam, war sie weg
20)I don't want to — ich will nichtwe didn't want to but we were forced to — wir wollten nicht, aber wir waren dazu gezwungen
I intended to (do it), but I forgot (to) — ich wollte es tun, aber ich habe es vergessen
buy it, it would be silly not to — kaufe es, es wäre dumm, es nicht zu tun
he often does things one doesn't expect him to — er macht oft Dinge, die man nicht von ihm erwartet
21)__diams; noun/pronoun + to + infinitive he is not the sort to do that — er ist nicht der Typ, der das täte, er ist nicht der Typ dazuI have done nothing to deserve this — ich habe nichts getan, womit ich das verdient hätte
who is he to order you around? — wer ist er denn, dass er dich so herumkommandiert?
he was the first to arrive — er kam als Erster an, er war der Erste, der ankam
who was the last to see her? —
what is there to do here? —
now is the time to do it — jetzt ist die (beste) Zeit, es zu tun
you are foolish to try it — du bist dumm, das überhaupt zu versuchen
is it good to eat? —
he's too old to be still in short trousers — er ist schon so alt und trägt noch kurze Hosen
2. ADJECTIVEdoor (= ajar) angelehnt; (= shut) zu3. ADVERBto and fro — hin und her; walk auf und ab
* * *toA präp [tuː; tʊ; tə]1. (Grundbedeutung) zu2. (Richtung und Ziel, räumlich) zu, nach, an (akk), in (akk), auf (akk):go to London nach London fahren;from east to west von Osten nach Westen;throw sth to the ground etwas auf den oder zu Boden werfen3. in (dat):have you ever been to London?4. (Richtung, Ziel, Zweck) zu, auf (akk), an (akk), in (akk), für, gegen:that is all there is to it das ist alles;a cap with a tassel to it eine Mütze mit einer Troddel (daran);a key to the case ein Schlüssel für den oder zum Koffer;a room to myself ein Zimmer für mich (allein); → assistant B 1, end C 7, moral B 1, secretary 1, etcthe score is three to one (3-1) das Spiel oder es steht drei zu eins (3:1);two is to four as four is to eight zwei verhält sich zu vier wie vier zu acht8. (Ausmaß, Grenze, Grad) bis, (bis) zu, (bis) an (akk), auf (akk), in (dat):to the clouds bis an die Wolken;from three to four von drei bis vier (Uhr);it’s ten to five es ist zehn vor fünf10. (Begleitung) zu, nach:sing to a guitar zu einer Gitarre singen;a) betont:he gave the book to me, not to you! er gab das Buch mir, nicht Ihnen!b) unbetont:she was a good mother to him sie war ihm eine gute MutterB partikel [tʊ; tə]to go gehen;easy to understand leicht zu verstehen;she was heard to cry man hörte sie weinen2. (Zweck, Absicht) um zu, zu:he only does it to earn money er tut es nur, um Geld zu verdienenI weep to think of it ich weine, wenn ich daran denke;he was the first to arrive er kam als Erster;why blame you me to love you? obs oder poet was tadelst du mich, weil ich dich liebe?5. zur Andeutung eines aus dem Vorhergehenden zu ergänzenden Infinitivs:I don’t go because I don’t want to ich gehe nicht, weil ich nicht (gehen) willC adv [tuː]1. a) zu, geschlossen:pull the door to die Türe zuziehenb) angelehnt:3. SCHIFF nahe am Wind:keep her to!4. to and froa) hin und her,b) auf und ab* * *1.[before vowel tʊ, before consonant tə, stressed tuː] prepositiongo to work/to the theatre — zur Arbeit/ins Theater gehen
to Paris/France — nach Paris/Frankreich
3) (as far as) bis zufrom London to Edinburgh — von London [bis] nach Edinburgh
increase from 10 % to 20 % — von 10 % auf 20 % steigen
4) (next to, facing)5) (implying comparison, ratio, etc.)[compared] to — verglichen mit; im Vergleich zu
it's ten to one he does something — die Chancen stehen zehn zu eins, dass er etwas tut
6) introducing relationship or indirect objectto somebody/something — jemandem/einer Sache (Dat.)
lend/explain etc. something to somebody — jemandem etwas leihen/erklären usw.
relate to something — sich auf etwas (Akk.) beziehen
to me — (in my opinion) meiner Meinung nach
7) (until) bisfive [minutes] to eight — fünf [Minuten] vor acht
do something to annoy somebody — etwas tun, um jemanden zu ärgern
too young to marry — zu jung, um zu heiraten; zu jung zum Heiraten
he woke to find himself in a strange room — er erwachte und fand sich in einem fremden Zimmer wieder
he would have phoned but forgot to — er hätte angerufen, aber er vergaß es
2.she didn't want to go there, but she had to — sie wollte nicht hingehen, aber sie musste
[tuː] adverbbe to — [Tür, Fenster:] angelehnt sein
2)
См. также в других словарях:
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