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far+more

  • 81 so far

    1) (until now: So far we have been quite successful.) až doteraz
    2) (up to a certain point: We can get so far but no further without more help.) až potiaľ
    * * *
    • až doposial

    English-Slovak dictionary > so far

  • 82 so far

    1) (until now: So far we have been quite successful.) până acum
    2) (up to a certain point: We can get so far but no further without more help.) până aici

    English-Romanian dictionary > so far

  • 83 so far

    1) (until now: So far we have been quite successful.) μέχρι τώρα
    2) (up to a certain point: We can get so far but no further without more help.) ως ένα σημείο

    English-Greek dictionary > so far

  • 84 so far

    1) (until now: So far we have been quite successful.) jusqu'ici
    2) (up to a certain point: We can get so far but no further without more help.) jusqu'ici

    English-French dictionary > so far

  • 85 so far

    1) (until now: So far we have been quite successful.) até agora, por enquanto
    2) (up to a certain point: We can get so far but no further without more help.) até aqui

    English-Portuguese (Brazil) dictionary > so far

  • 86 go too far

       зaйти cлишкoм дaлeкo, пepeйти гpaницы
        After all, even a sense of humour can go too far. It can become mere cynicism (J. Lindsay). Of course, Caroline liked to have Meredith on a string more or less - the devoted, platonic friend who would never, never go too far. She was that kind of woman (A. Christie)

    Concise English-Russian phrasebook > go too far

  • 87 with more than

    English-Russian base dictionary > with more than

  • 88 so far so good

    разг.

    ‘I was engaged, sir, on what we call sealed orders, to sail this ship for that gentleman when he should bid me,’ said the captain. ‘So far so good. But now I find that every man before the mast knows more than I do.’ (R. L. Stevenson, ‘Treasure Island’, ch. IX) — - Меня пригласили, сэр, чтобы я вел судно туда, куда пожелает этот джентльмен, и не назвали цели путешествия, - сказал капитан. - Пока все шло хорошо, я ни о чем не расспрашивал. Но вскоре я убедился, что самый последний матрос знает о цели путешествия больше, чем я.

    Large English-Russian phrasebook > so far so good

  • 89 no more than

    better than hitherto — лучше, чем прежде

    Синонимический ряд:
    only (other) but; exactly; just; merely; only; solely

    English-Russian base dictionary > no more than

  • 90 not more than

    better than hitherto — лучше, чем прежде

    English-Russian base dictionary > not more than

  • 91 fair and softly goes far

    Пословица: тише едешь, дальше будешь (the less we hurry, the more likely we are to succeed in achieving our aim, take your time)

    Универсальный англо-русский словарь > fair and softly goes far

  • 92 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, Eventually
       Just 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)
       Many 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 Form
       The 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 Formation
       It 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 Contexts
       Even 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)
        18) The Assumption That the Mind Is a Formal System
       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 Intelligence
       The 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 Propositions
       In 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

  • 93 Comparative degree: adjectives

    1) Сравнительная степень прилагательных в английском языке может образовываться синтетически (прибавлением суффикса -er) или аналитически (с помощью конструкции со словом more).
    а) Синтетически образуют сравнительную степень односложные прилагательные (кроме right и wrong), а также часть двусложных прилагательных: все оканчивающиеся на -y, а также прилагательные clever, narrow, quiet, simple
    б) Многие двусложные прилагательные могут образовывать сравнительную степень как синтетически, так и аналитически

    common (распространенный) — commoner/more common (более распространенный)

    polite (вежливый) — politer/more polite (вежливее)

    в) Только аналитически образуют сравнительную степень некоторые двусложные прилагательные (в частности, все оканчивающиеся на -ing, -ed, -ful и - less), а также прилагательные, состоящие из трех или более слогов.
    В случае сомнений способ образования сравнительной степени двусложных прилагательных следует устанавливать по словарю.

    But what is more striking... — Но более поразительно то, что...

    But the British people have a far more reserved nature than Australians. — Но по сравнению с австралийцами, британцы гораздо сдержаннее по характеру.

    He grew more cheerful. — Он приободрился.

    And now that I'm more helpless than ever, you're going away! — И теперь, когда я так беспомощен, ты уходишь.

    Family and friends are more important than money. — Семья и друзья важнее денег.

    г) Некоторые прилагательные образуют сравнительную степень нерегулярно или имеют несколько сравнительных форм:

    far (дальний) — farther (более удаленный)/further (дополнительный)

    old (старый) — older (более старый)/elder (старший)

    д) Нерегулярно образуют сравнительную форму следующие местоимения-прилагательные.

    much/many (много) — more (больше)

    2) Синтетическая форма сравнительной степени не используется, если сравниваются две возможные характеристики одного и того же предмета

    She is more nice than wise — Она скорее мила, чем умна

    less important — менее важный

    4) Прилагательное в сравнительной степени может иметь при себе уточняющие слова much, many (перед more + сущ. во мн.ч.), far, a lot, lots - гораздо, намного, any - сколько-нибудь, no - нисколько не, rather - довольно, a little, a bit - немного, even, all the - еще, any the - еще сколько-нибудь, none the - еще ничуть не. Слова any, no, a bit и a lot, как правило, не используются при прилагательных в сравнительной степени, имеющих при себе существительные

    He's got many more problems these days than ever — У него сейчас гораздо больше проблем, чем когда-либо раньше

    This car is a bit more expensive. — Эта машина стоит немного дороже.

    Again she had a scene of remonstrance with Tom, all the more severe, in proportion to the greater strength of her present position — Она снова устроила Тому скандал. На этот раз она протестовала еще сильнее, так как позиции ее упрочились.

    English-Russian grammar dictionary > Comparative degree: adjectives

  • 94 -molto-

    Nota d'uso
    Quando molto precede la forma comparativa di un aggettivo o un avverbio può essere tradotto con much, very much, far, a lot (colloquiale), ma non con very: È molto più giovane di me, he's much younger than me (non he's very younger than me); Come al solito, il libro è molto migliore del film, as usual, the book is far better than the film; Utilizzando questo software, la traduzione può essere fatta molto più velocemente, using this software, the translation can be done much more quickly; Negli Stati Uniti la benzina è molto meno cara che in Italia, in the USA gas is much less expensive than in Italy.
    Gli stessi termini inglesi servono a tradurre molto quando quest'ultimo precede la combinazione più + nome: Abbiamo avuto bisogno di molto più tempo di quanto avessimo previsto, we needed much (o a lot o far) more time than we had envisaged. Se il nome è plurale, al posto di much si deve usare many: Ho molti più problemi adesso di qualche anno fa, I have many (o a lot o far) more problems now than I used to have a few years ago.

    English-Italian dictionary > -molto-

  • 95 traction

    •• * Интересное слово. Не знаю, можно ли говорить о новом его значении или речь идет о метафорическом словоупотреблении, связанном с его известными значениями (тяга, сила сцепления, притягательная сила), но во всех нижеследующих примерах (из нескольких номеров Washington Post) двуязычные словари (я смотрел Новый БАРС и ABBYY Lingvo) не очень помогут переводчику:

    •• 1. With his plan to lower the cost of health care for most Americans, “Gephardt has hit on a real Achilles’ heel, and he will get traction on it if he becomes the nominee,” said Rep. Ray LaHood. (R-Ill.) 2. One of the biggest temptations for lawmakers will be to lend the money rather than spend it outright. This approach has particular traction in the Senate, where a number of Republicans are endorsing it. 3. The message from Annan’s demoralized staff to the Bush administration was summed up by a senior U.N. official speaking to the Financial Times: “We wish you well, we hope you succeed, but we want to maintain our own integrity in case you don’t.” In other words, abandon ship. Not surprisingly, the resolution did not gain traction in this atmosphere. 4. “ People like Mikulski in Maryland,” said Matthew Crenson, a political science professor at Johns Hopkins University. “It’s illustrative of how difficult it is for Republicans to gain traction in this state that they had to cast about for a candidate for so long.”
    •• В принципе в переводе всех этих примеров подойдет слово поддержка (или сторонники). Это удачный контекстуальный перевод, но он, конечно, не описывает значения. Для его описания больше подойдут слова шансы на успех, перспективы, привлекательность.
    •• Пример того, как вошедшее в моду слово приобретает эластичность, по сути не меняя своего значения, а просто за счет расширения метафоры, т.е. ее распространения на новые сферы:
    •• The euro’s rise to a record high this week, driven by a skidding dollar, comes at a sensitive time for a European economic recovery that finally seems to be gaining a bit of traction. (International Herald Tribune)
    •• Для переводчика это может создавать проблемы – ведь, например, в данном случае метафора «трения», «сцепления» в русском языке не работает. Видимо, надо менять метафору. Может быть, так: <...> экономичеcкая активность в Европе начинает, как кажется, потихоньку набирать обороты.
    •• Следующий довольно трудный для перевода пример:
    •• The minority in this country which is opposed to the U.N. is far more intense than the majority that seems to favor the U.N., so that the minority view has far more traction. (Atlantic)
    •• Здесь – изрядно смазанная, но все-таки метафора, и ее придется заменить на другую (Я.И. Рецкер называл такой прием «адекватной заменой»). Думаю, можно попробовать, например, резонанс:
    •• Меньшинство, настроенное против ООН, гораздо напористее, чем большинство, которое вроде бы поддерживает ООН, и поэтому мнение меньшинства имеет гораздо больший резонанс.
    •• The Bush administration’s grand plan to reform the Middle East may be gaining traction even though most governments in the region remain deeply suspicious of the U.S. president and his proactive agenda. (Newsweek)
    •• В переводе – еще одно контекстуальное соответствие:
    •• Возможно, амбициозный план администрации по реформированию Ближнего Востока начинает работать/давать плоды, хотя большинство государств региона сохраняют глубоко подозрительное отношение к президенту США и его наступательной стратегии.
    •• Здесь, конечно, интересны также слова proactive и agenda. Оба включены в «Мой несистематический словарь», и добавить здесь можно лишь то, что в русское словоупотребление понемногу входит слово проактивный, но мне оно не очень нравится по уже отмеченной причине – в слове активный (в отличие от английского active) это значение и так есть.
    •• (В скобках замечу, что у слова traction есть специализированное медицинское значение – вытяжение. Англо-французский словарь дает to be in traction – être en extension. По-русски – лежать на вытяжке.)
    •• Помимо to gain traction нередко встречается to gain purchase:
    •• We are fast approaching the fifty year anniversary of Harry S. Truman’s inaugural presidential address in which the idea of ‘underdeveloped areas’ first gained purchase in the universe of public discourse. - <...> инаугурационная речь президента Трумэна, в которой впервые прозвучали слова, впоследствии получившие широкое распространение в политической речи, - « слаборазвитые районы».
    •• Then the format shrank even more as cassette tapes gained purchase over eight-tracks, finally eclipsing them in the era just prior to compact discs.
    •• В данном случае подойдет антонимический перевод:
    •• <...> этот формат начал уступать позиции кассетам. To gain purchase over - возможно и вытеснить.
    •• Интересно все-таки, что при наличии, казалось бы, полностью синонимичных to gain ground и to gain momentum языку понадобилось и to gain traction. Как и всякая языковая мода, это не всем нравится. Один канадский профессор охарактеризовал как some of the worst examples of writing and thinking I have seen in my entire career следующую фразу: It took the first album about half a year to gain traction among the American youth. Что тут возразить? Нравится слово traction или нет – дело вкуса. Как сказала одна моя коллега в ООН, traction is not a word I would use. Но оно есть, и по «закону языковой моды» чем чаще оно употребляется, тем эластичнее становится его значение. Можно, пожалуй, студентам давать как упражнение на лексическую изобретательность в переводе.
    •• Вот еще пара примеров:
    •• The government’s policies are gaining traction. South Africa’s corporations are investing and many white South Africans are returning home. (Newsweek)
    •• Здесь, конечно, напрашивается <...> политика правительства начинает давать результаты. В рамках того же значения – совершенно не «словарный», контекстуальный вариант перевода:
    •• While America’s ambitions in the “greater Middle East” <...> will probably still make its debut at three international summits next month, it’s unlikely to generate much traction any time soon. (Washington Post) – <...> существенного продвижения вперед в обозримом будущем достичь вряд ли удастся.
    •• Напоследок: это слово, пожалуй, неплохо подойдет при переводе известного процесс пошел – the process has gained/is gaining traction.

    English-Russian nonsystematic dictionary > traction

  • 96 bone

    [bəun] 1. noun
    1) (the hard substance forming the skeleton of man, animals etc: Bone decays far more slowly than flesh.) knogle
    2) (a piece of this substance: She broke two of the bones in her foot.) knogle
    2. verb
    (to take the bones out of (fish etc).) ben
    - bone china
    - bone idle
    - a bone of contention
    - have a bone to pick with someone
    - have a bone to pick with
    - to the bone
    * * *
    [bəun] 1. noun
    1) (the hard substance forming the skeleton of man, animals etc: Bone decays far more slowly than flesh.) knogle
    2) (a piece of this substance: She broke two of the bones in her foot.) knogle
    2. verb
    (to take the bones out of (fish etc).) ben
    - bone china
    - bone idle
    - a bone of contention
    - have a bone to pick with someone
    - have a bone to pick with
    - to the bone

    English-Danish dictionary > bone

  • 97 downsizing

    réduction f des effectifs;
    ∎ we see downsizing as our only option if the company is to remain competitive nous considérons qu'une réduction des effectifs est la seule solution possible si nous voulons rester compétitifs

    Men who were anxious about changes in the structure of their organisation were also approximately twice as likely to have time off sick. But those working in a company in which downsizing was likely were conversely far less likely to take time off - presumably fearing that more sickly workers would be far more likely to be made redundant.

    English-French business dictionary > downsizing

  • 98 Behr, Fritz Bernhard

    [br]
    b. 9 October 1842 Berlin, Germany
    d. 25 February 1927
    [br]
    German (naturalized British in 1876) engineer, promoter of the Lartigue monorail system.
    [br]
    Behr trained as an engineer in Britain and had several railway engineering appointments before becoming associated with C.F.M.-T. Lartigue in promoting the Lartigue monorail system in the British Isles. In Lartigue's system, a single rail was supported on trestles; vehicles ran on the rail, their bodies suspended pannier-fashion, stabilized by horizontal rollers running against light guide rails fixed to the sides of the trestles. Behr became Managing Director of the Listowel \& Ballybunion Railway Company, which in 1888 opened its Lartigue system line between those two places in the south-west of Ireland. Three locomotives designed by J.T.A. Mallet were built for the line by Hunslet Engine Company, each with two horizontal boilers, one either side of the track. Coaches and wagons likewise were in two parts. Technically the railway was successful, but lack of traffic caused the company to go bankrupt in 1897: the railway continued to operate until 1924.
    Meanwhile Behr had been thinking in terms far more ambitious than a country branch line. Railway speeds of 150mph (240km/h) or more then lay far in the future: engineers were uncertain whether normal railway vehicles would even be stable at such speeds. Behr was convinced that a high-speed electric vehicle on a substantial Lartigue monorail track would be stable. In 1897 he demonstrated such a vehicle on a 3mile (4.8km) test track at the Brussels International Exhibition. By keeping the weight of the motors low, he was able to place the seats above rail level. Although the generating station provided by the Exhibition authorities never operated at full power, speeds over 75mph (120 km/h) were achieved.
    Behr then promoted the Manchester-Liverpool Express Railway, on which monorail trains of this type running at speeds up to 110mph (177km/h) were to link the two cities in twenty minutes. Despite strong opposition from established railway companies, an Act of Parliament authorizing it was made in 1901. The Act also contained provision for the Board of Trade to require experiments to prove the system's safety. In practice this meant that seven miles of line, and a complete generating station to enable trains to travel at full speed, must be built before it was known whether the Board would give its approval for the railway or not. Such a condition was too severe for the scheme to attract investors and it remained stillborn.
    [br]
    Further Reading
    H.Fayle, 1946, The Narrow Gauge Railways of Ireland, Greenlake Publications, Part 2, ch. 2 (describes the Listowel \& Ballybunion Railway and Behr's work there).
    D.G.Tucker, 1984, "F.B.Behr's development of the Lartigue monorail", Transactions of
    the Newcomen Society 55 (covers mainly the high speed lines).
    See also: Brennan, Louis
    PJGR

    Biographical history of technology > Behr, Fritz Bernhard

  • 99 second wind

    1) спорт. второе дыхание

    We climbed with labored breathing for half an hour, but then got our second wind and went up more easily. (DAI) — Когда мы поднимались на гору, первые полчаса дышать было трудно, но потом пришло второе дыхание, и подъем стал значительно легче.

    2) "второе дыхание", новый прилив энергии

    When he was bursar, people had been more frightened of him than ever. After he retired it seemed for a time that the old sting had left him. But now at eighty, with the curious second wind that I had seen before in very old men, he could produce it again, far more vigorously than ten years before. (C. P. Snow, ‘The Affair’, ch. 2) — Особенно страшен Уинслоу был в должности казначея колледжа. Многие его побаивались. Выйдя в отставку, он на некоторое время утратил, казалось, свое былое ехидство. Но сейчас, на девятом десятке, у него словно открылось "второе дыхание" - явление, которое мне и раньше приходилось наблюдать у очень старых людей, - и теперь он стал куда язвительнее, чем был, скажем, десять лет тому назад.

    Tom became very tired of working at his algebra, but after a while he got his second wind and began to enjoy it. (DAI) — Том долго сидел над алгеброй и очень устал, но тут у него как бы открылось "второе дыхание", он даже стал заниматься с удовольствием.

    Large English-Russian phrasebook > second wind

  • 100 Brazil

       Former Portuguese colony (ca. 1500-1822), once described on old maps as "Portuguese America." Until 1822, the colony of Brazil was Portugal's largest, richest, and most populous colonial territory, and it held the greatest number of overseas Portuguese. Indeed, until 1974, long after Brazil had ceased being a Portuguese colony, the largest number of overseas Portuguese continued to reside in Brazil.
       Discovered in 1500 by Pedro Álvares Cabral, Brazil experienced significant coastal colonization by Portugal only after 1550. As Portugal's world power and colonial position in North Africa and Asia entered a decline, Brazil began to receive the lion's share of her imperial attention and soon dominated the empire. While Portuguese colonization and civilization had an essential impact on the complex making of Brazil, this fact must be put into perspective. In addition to other European (Italian, German, etc.) and Asian (Japanese) immigrants, two other civilizations or groups of civilizations helped to construct Brazil: the Amerindians who inhabited the land before 1500 and black Africans who were shipped to Brazil's coast as slaves during more than three centuries, mainly from west and central Africa. There is a long history of Portuguese military operations to defend Brazil against internal rebellions as well as other colonial intruders. The French, for example, attacked Brazil several times. But it was the Dutch who proved the greatest threat, when they held northeast Brazil from 1624 to 1654, until they were expelled by Portuguese and colonial forces.
       Until the 17th century, Portuguese colonization was largely coastal. By the 18th century, Portuguese groups began to penetrate deep into the hinterland, including an area rich in minerals, the Minas Gerais ("General Mines"). Lisbon extracted the greatest wealth from Brazil during the "golden age" of mining of gold and diamonds from 1670 to 1750. But hefty profits for the king also came from Brazilian sugar, tobacco, cotton, woods, and coffee. By the time of Brazil's independence, declared in 1822, Portuguese America had become far more powerful and rich than the mother country. Only a few years before the break, Brazil had been declared a kingdom, in theory on a par with Portugal. A major factor behind the Brazilian independence movement was the impact of the residence of the Portuguese royal family and court in Brazil from 1808 to 1821.
       What is the Portuguese legacy to Brazil after more than 300 years of colonization? Of the many facets that could be cited, perhaps three are worthy of mention here: the Portuguese language (Brazil is the only Latin American country that has Portuguese as the official language); Portuguese political and administrative customs; and a large community, mostly in coastal Brazil, of overseas Portuguese.

    Historical dictionary of Portugal > Brazil

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