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1 question-and-answer string
последовательность вопросов и ответов (в процессе аутентификации)Англо-русский словарь по компьютерной безопасности > question-and-answer string
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2 string
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3 section
1. n секция, детальbuilt in sections — сборный; разборный
2. n часть; отрезок, участок3. n отдел, секция4. n район5. n слой6. n статья7. n параграф, разделsections have been preferred to chapters — предпочтение отдаётся не главам, а параграфам
book review section — раздел «книжное обозрение»
8. n знак параграфа9. n учебная группа10. n сечение, разрез; профильlongitudinal section — продольный разрез, продольное сечение
11. n мед. рассечение, разрез; вскрытие12. n амер. купе13. n амер. земельный участоктетрадь; книжный блок
14. n воен. отдел, отделение штаба15. n воен. подразделение не выше взвода16. n воен. мор. отсек17. n воен. воен. орудие18. n воен. спорт. этап эстафеты19. n воен. секционная рамка20. n воен. сортовая или профильная сталь21. n воен. группа инструментов22. v делить на части, подразделятьprogram section — часть программы; сегмент программы
23. v распределять или собирать по частямinput section — вводная часть; входная область
24. v представлять в разрезеСинонимический ряд:1. branch (noun) branch; category2. measure (noun) measure; portion; quota; share3. part (noun) chapter; compartment; division; dominion; fraction; member; moiety; parcel; part; passage; piece; province; slice4. segment (noun) area; cut; district; precinct; quarter; region; sector; segment; subdivision; vicinity; zone5. apportion (verb) apportion; cleave; cut; divide6. sectionalize (verb) sectionalize; sectionize7. separate (verb) break up; part; partition; segment; separateАнтонимический ряд: -
4 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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5 come
A ◑ n sperme m.1 ( travel) faire ; to come 100 km to see faire 100 km pour voir ;2 ○ GB ( act) don't come the innocent with me ne fais pas l'innocent ; to come the heavy-handed father jouer les pères autoritaires.1 ( arrive) [person, day, success, fame] venir ; [bus, letter, news, results, rains, winter, war] arriver ; the letter came on Monday la lettre est arrivée lundi ; your turn will come ton tour arrivera ; to come after sb ( chase) poursuivre qn ; to come by ( take) prendre [bus, taxi, plane] ; I came on foot/by bike je suis venu à pied/à bicyclette ; to come down descendre [stairs, street] ; to come up monter [stairs, street] ; to come down from Scotland/from Alaska venir d'Écosse/de l'Alaska ; to come from venir de [airport, hospital] ; to come into entrer dans [house, room] ; the train came into the station le train est entré en gare ; to come past [car, person] passer ; to come through [person] passer par [town centre, tunnel] ; [water, object] traverser [window etc] ; to come to venir à [school, telephone] ; to come to the door venir ouvrir ; to come to the surface remonter à la surface ; to come to the company as entrer dans l'entreprise comme [apprentice, consultant] ; to come to do venir faire ; to come running arriver en courant ; to come limping down the street descendre la rue en boitant ; to come crashing to the ground [structure] s'écraser au sol ; to come streaming through the window [light] entrer à flots par la fenêtre ; lunch is ready, come and get it! le déjeuner est prêt, à table! ; when the time comes lorsque le moment sera venu ; the time has come to do le moment est venu de faire ; I'm coming! j'arrive! ; come to mummy viens voir maman ; to come and go aller et venir ; you can come and go as you please tu es libre de tes mouvements ; fashions come and go les modes vont et viennent ; come next week/year la semaine/l'année prochaine ; come Christmas/Summer à Noël/en été ; there may come a time ou day when you regret it tu pourrais le regretter un jour ; for some time to come encore quelque temps ; there's still the meal/speech to come il y a encore le repas/discours ;2 ( approach) s'approcher ; to come and see/help sb venir voir/aider qn ; to come to sb for venir demander [qch] à qn [money, advice] ; I could see it coming ( of accident) je le voyais venir ; don't come any closer ne vous approchez pas (plus) ; he came to the job with preconceived ideas quand il a commencé ce travail il avait des idées préconçues ; to come close ou near to doing faillir faire ;3 (call, visit) [dustman, postman] passer ; [cleaner] venir ; I've come to do je viens faire ; I've come about je viens au sujet de ; I've come for je viens chercher ; my brother is coming for me at 10 am mon frère passe me prendre à 10 heures ; they're coming for the weekend ils viennent pour le week-end ; I've got six people coming to dinner j'ai six personnes à dîner ; my sister is coming to stay with us ma sœur vient passer quelques jours chez nous ;4 ( attend) venir ; I can't ou won't be able to come je ne pourrai pas venir ; come as you are venez comme vous êtes ; to come to venir à [meeting, party, wedding] ; to come with sb venir avec qn, accompagner qn ; do you want to come fishing? est-ce que tu veux venir à la pêche? ;5 ( reach) to come to, to come up/down to [water] venir jusqu'à ; [dress, carpet, curtain] arriver à ; I've just come to the chapter where… j'en suis juste au chapitre où… ;6 ( happen) how did you come to do? comment as-tu fait pour faire? ; that's what comes of doing/not doing voilà ce qui arrive quand on fait/ne fait pas ; how come? comment ça se fait? ; how come you lost? comment ça se fait que tu aies perdu? ; come what may advienne que pourra ; to take things as they come prendre les choses comme elles viennent ; when you come to think of it à la réflexion ; come to think of it, you're right en fait, tu as raison ;7 ( begin) to come to believe/hate/understand finir par croire/détester/comprendre ;8 ( originate) to come from [person] être originaire de, venir de [city, country etc] ; [word, song, legend] venir de [country, language] ; [substance, food] provenir de [raw material] ; [coins, stamps] provenir de [place, collection] ; [smell, sound] venir de [place] ; to come from France [fruit, painting] provenir de France ; [person] être français/-e ; to come from a long line of artists être issu d'une longue lignée d'artistes ;9 ( be available) to come in exister en [sizes, colours] ; to come with a radio/sunroof être livré avec radio/toit ouvrant ; to come with chips être servi avec des frites ; to come with matching napkins être vendu avec les serviettes assorties ; calculators don't come smaller/cheaper than this il n'existe pas de calculatrice plus petite/moins chère que celle-là ;10 ( tackle) to come to aborder [problem, subject] ; I'll come to that in a moment je reviendrai sur ce point dans un moment ; to come to sth ou to doing sth late in life se mettre à faire qch sur le tard ;11 ( develop) it comes with practice/experience cela s'apprend avec la pratique/l'expérience ; wisdom comes with age la sagesse vient en vieillissant ;12 ( be situated) venir ; to come after suivre, venir après ; to come before (in time, list, queue) précéder ; ( in importance) passer avant ; to come within faire partie de [terms] ; to come first/last [athlete, horse] arriver premier/dernier ; where did you come? tu es arrivé combien ○ ?, tu es arrivé à quelle place? ; my family comes first ma famille passe avant tout ; nothing can come between us rien ne peut nous séparer ; don't let this come between us on ne va pas se fâcher pour ça ; to try to come between two people essayer de s'interposer entre deux personnes ; nothing comes between me and my football! pour moi le foot c'est sacré! ;13 ( be due) the house comes to me when they die la maison me reviendra quand ils mourront ; death/old age comes to us all tout le monde meurt/vieillit ; he had it coming (to him) ○ ça lui pendait au nez ; they got what was coming to them ○ ils ont fini par avoir ce qu'ils méritaient ;14 ( be a question of) when it comes to sth/to doing lorsqu'il s'agit de qch/de faire ;15 ○ ( have orgasm) jouir.come again ○ ? pardon? ; I don't know if I'm coming or going je ne sais plus où j'en suis ; ‘how do you like your tea?’-‘as it comes’ ‘tu le prends comment ton thé?’-‘ça m'est égal’ ; he's as stupid/honest as they come il n'y a pas plus stupide/honnête que lui ; come to that ou if it comes to that, you may be right en fait, tu as peut-être raison ; to come as a shock/a surprise être un choc/une surprise.1 ( happen) [problems, reforms] survenir ; [situation, change] se produire ; the discovery came about by accident on a fait la découverte par hasard ;2 Naut virer de bord.■ come across:▶ come across ( be conveyed) [meaning, message] passer ; [feelings] transparaître ; the message of the film comes across clearly le message du film est clair ; his love of animals comes across strongly on sent bien qu'il adore les animaux ; she comes across well on TV elle passe bien à la télé ; come across as donner l'impression d'être [liar, expert] ; paraître [enthusiastic, honest] ;▶ come across [sth] tomber sur [article, reference, example] ; découvrir [qch] par hasard [village] ; we rarely come across cases of nous avons rarement affaire à des cas de ;▶ come across [sb] rencontrer [person] ; one of the nicest people I've ever come across une des personnes les plus sympathiques que j'aie jamais rencontrées.1 ( arrive) [bus, person] arriver ; [opportunity] se présenter ; to wait for the right person to come along attendre que la personne idéale se présente ;2 ( hurry up) come along! dépêche-toi! ;3 ( attend) venir ; why don't you come along? tu veux venir? ; to come along to venir à [lecture, party] ; to come along with sb venir avec qn, accompagner qn ;4 ( make progress) [pupil, trainee] faire des progrès ; [book, building work, project] avancer ; [painting, tennis] progresser ; [plant, seedling] pousser ; your Spanish is coming along votre espagnol a progressé ; how's the thesis coming along? est-ce que ta thèse avance?1 ( accidentally) [book, parcel, box] se déchirer ; [shoes] craquer ; [toy, camera] se casser ; the toy just came apart in my hands le jouet m'est resté dans les mains ;■ come at:▶ come at [sb]2 fig there were criticisms/questions coming at me from all sides j'étais assailli de critiques/questions.1 ( leave) lit partir ; to come away from quitter [cinema, match, show] ; sortir de [interview, meeting] ; fig to come away from the match/from the meeting disappointed/satisfied sortir déçu/satisfait du stade/de la réunion ; to come away with the feeling that rester sur l'impression que ;2 ( move away) s'éloigner ; come away! ( said by parent) pousse-toi de là! ; ( said by official) circulez! ; come away from the edge éloigne-toi du bord ;3 ( become detached) [handle, plaster, cover] se détacher (from de).1 ( return) gen [letter, person, memories, feeling, good weather] revenir (from de ; to à) ; ( to one's house) rentrer ; to come running back revenir en courant ; the memories came flooding back les souvenirs me sont revenus d'un seul coup ; to come back to revenir à [topic, problem] ; retourner auprès de [spouse, lover] ; to come back with sb raccompagner qn ; to come back with ( return) revenir avec [present, idea, flu] ; ( reply) répondre par [offer, suggestion] ; can I come back to you on that tomorrow? est-ce que nous pourrions en reparler demain? ; it's all coming back to me now tout me revient maintenant ; the name will come back to me le nom me reviendra ; to come back to what you were saying pour en revenir à ce que tu disais ;2 ( become popular) [law, system] être rétabli ; [trend, method, hairstyle] revenir à la mode ; to come back into fashion revenir à la mode.■ come by:▶ come by [sth] trouver [book, job, money].1 ( move lower) [person] descendre (from de) ; [lift, barrier, blind] descendre ; [curtain] tomber ; to come down by parachute descendre en parachute ; to come down in the lift prendre l'ascenseur pour descendre ; he's really come down in the world fig il est vraiment tombé bas ; his trousers barely came down to his ankles son pantalon lui arrivait à peine aux chevilles ;2 ( drop) [price, inflation, unemployment, temperature] baisser (from de ; to à) ; [cost] diminuer ; cars are coming down in price le prix des voitures baisse ;3 Meteorol [snow, rain] tomber ; the fog came down overnight le brouillard est apparu pendant la nuit ;5 ( crash) [plane] s'écraser ;7 fig ( be resumed by) se ramener à [question, problem, fact] ; it all really comes down to the fact that ça se ramène au fait que.1 ( step forward) s'avancer ;2 ( volunteer) se présenter (to do pour faire) ; to come forward with présenter [proof, proposal] ; offrir [help, money, suggestions] ; to ask witnesses to come forward lancer un appel à témoins.■ come in1 ( enter) [person, rain] entrer (through par) ;2 ( return) rentrer (from de) ; she comes in from work at five elle rentre du travail à cinq heures ;4 ( arrive) [plane, train, bill, complaint, delivery, letter] arriver ; which horse came in first? quel cheval est arrivé premier? ; we've got £2,000 a month coming in nous avons une rentrée de 2 000 livres sterling par mois ;5 ( become current) [trend, invention, style] faire son apparition ; [habit, practice] commencer à se répandre ;6 ( interject) intervenir ; to come in with an opinion exprimer son opinion ;8 ( participate) to come in with sb s'associer à qn ; to come in on the deal participer à l'affaire ;9 ( serve a particular purpose) where do I come in? à quel moment est-ce que j'interviens? ; where does the extra money come in? à quel moment est-ce qu'on introduira l'argent en plus? ; to come in useful ou handy [box, compass, string etc] être utile, servir ; [skill, qualification] être utile ;10 ( receive) to come in for criticism [person] être critiqué ; [plan] faire l'objet de nombreuses critiques ; to come in for praise recevoir des éloges.■ come into:▶ come into [sth]2 ( be relevant) to come into it [age, experience] entrer en ligne de compte, jouer ; luck/skill doesn't come into it ce n'est pas une question de hasard/d'habileté.■ come off:▶ come off1 ( become detached) ( accidentally) [button, label, handle] se détacher ; [lid] s'enlever ; [paint] s'écailler ; [wallpaper] se décoller ; ( intentionally) [handle, panel, lid] s'enlever ; the knob came off in my hand la poignée m'est restée dans la main ; the lid won't come off je n'arrive pas à enlever le couvercle ;2 ( fall) [rider] tomber ;7 ( fare) she came off well ( in deal) elle s'en est très bien tirée ; who came off worst? ( in fight) lequel des deux a été le plus touché? ;▶ come off [sth]1 ( stop using) arrêter [pill, tablet, heroin] ;2 ( fall off) tomber de [bicycle, horse] ;■ come on1 ( follow) I'll come on later je vous rejoindrai plus tard ;2 ( exhortation) ( encouraging) come on, try it! allez, essaie! ; come on, follow me! allez, suivez-moi! ; ( impatient) come on, hurry up! allez, dépêche-toi! ; ( wearily) come on, somebody must know the answer! enfin, il y a sûrement quelqu'un qui connaît la réponse! ; come on, you don't expect me to believe that! non mais franchement, tu ne t'attends pas à ce que je croie ça! ;3 ( make progress) [person, player, patient] faire des progrès ; [bridge, road, novel] avancer ; [plant] pousser ; how are the recruits coming on? est-ce que les recrues font des progrès? ; her tennis is coming on well elle fait des progrès en tennis ;4 ( begin) [asthma, attack, headache] commencer ; [winter] arriver ; [programme, film] commencer ; [rain] se mettre à tomber ; it came on to snow il s'est mis à neiger ;5 ( start to work) [light] s'allumer ; [heating, fan] se mettre en route ; the power came on again at 11 le courant est revenu à 11 heures ;6 Theat [actor] entrer en scène.■ come out1 ( emerge) [person, animal, vehicle] sortir (of de) ; [star] apparaître ; [sun, moon] se montrer ; [flowers, bulbs] sortir de terre ; [spot, rash] apparaître ; come out with your hands up! sortez les mains en l'air ; when does he come out? (of prison, hospital) quand est-ce qu'il sort? ; he came out of it rather well fig il ne s'en est pas mal tiré ;2 ( originate) to come out of [person] être originaire de ; [song] venir de ; [news report] provenir de ; the money will have to come out of your savings il faudra prendre l'argent sur tes économies ;3 ( result) to come out of [breakthrough] sortir de ; something good came out of the disaster il est sorti quelque chose de bon du désastre ;4 ( strike) faire la grève ; to come out on strike faire la grève ;5 [homosexual] déclarer publiquement son homosexualité ;6 ( fall out) [contact lens, tooth, key, screw, nail] tomber ; [electrical plug] se débrancher ; [sink plug] sortir ; [contents, stuffing] sortir ; [cork] s'enlever ; his hair is coming out il commence à perdre ses cheveux ;7 ( be emitted) [water, air, smoke] sortir (through par) ; the water comes out of this hole l'eau sort par ce trou ;9 ( be deleted) [reference, sentence] être éliminé ;10 (be published, issued) [magazine, novel] paraître ; [album, film, model, product] sortir ;11 ( become known) [feelings] se manifester ; [message, meaning] ressortir ; [details, facts, full story] être révélé ; [results] être connu ; [secret] être divulgué ; it came out that on a appris que ; if it ever comes out that it was my fault si on découvre un jour que c'était de ma faute ; the truth is bound to come out la vérité finira forcément par se savoir ; so that's what you think-it's all coming out now! c'est ça que tu penses-tu finis par l'avouer! ;12 Phot, Print [photo, photocopy] être réussi ; the photos didn't come out (well) les photos ne sont pas réussies ; red ink won't come out on the photocopy l'encre rouge ne donnera rien sur la photocopie ;13 ( end up) to come out at 200 dollars [cost, bill] s'élever à 200 dollars ; the jumper came out too big le pull était trop grand ; the total always comes out the same le total est toujours le même ;14 ( say) to come out with sortir [excuse] ; raconter [nonsense, rubbish] ; I knew what I wanted to say but it came out wrong je savais ce que je voulais dire mais je me suis mal exprimé ; whatever will she come out with next? qu'est-ce qu'elle va encore nous sortir ○ ? ; to come straight out with it le dire franchement ;15 ( enter society) faire ses débuts dans le monde.■ come over:1 ( drop in) venir ; come over for a drink venez prendre un verre ; to come over to do venir faire ;2 ( travel) venir ; they came over on the ferry ils sont venus en ferry ; she's coming over on the 10 am flight elle arrive par l'avion de 10 heures ; she often comes over to France elle vient souvent en France ; their ancestors came over with the Normans leurs ancêtres sont venus ici au temps des Normands ;3 ( convey impression) [message, meaning] passer ; [feelings, love] transparaître ; to make one's feelings come over exprimer ses sentiments ; to come over very well [person] donner une très bonne impression ; to come over as donner l'impression d'être [lazy, honest] ;4 ○ ( suddenly become) to come over all embarrassed se sentir gêné tout à coup ; to come over all shivery se sentir fiévreux/-euse tout à coup ; to come over all faint être pris de vertige tout d'un coup ;▶ come over [sb] [feeling] envahir ; what's come over you? qu'est-ce qui te prend? ; I don't know what came over me je ne sais pas ce qui m'a pris.1 ( regain consciousness) reprendre connaissance ;2 ( make a detour) faire un détour (by par) ;3 ( circulate) [steward, waitress] passer ;4 ( visit) venir ; to come round and do venir faire ; to come round for dinner/drinks venir dîner/prendre un verre ;5 ( occur) [event] avoir lieu ; the elections are coming round again les élections auront bientôt lieu ; by the time Christmas comes round à Noël ;6 ( change one's mind) changer d'avis ; to come round to an idea/to my way of thinking se faire à une idée/à ma façon de voir les choses ;7 Naut [boat] venir au vent.■ come through:1 ( survive) s'en tirer ;3 ( arrive) the fax/the call came through at midday nous avons reçu le fax/l'appel à midi ; my posting has just come through je viens de recevoir ma mutation ; she's still waiting for her visa/her results to come through elle n'a toujours pas reçu son visa/ses résultats ;4 ( emerge) [personality, qualities] apparaître ;▶ come through [sth]1 ( survive) se tirer de [crisis] ; se sortir de [recession] ; survivre à [operation, ordeal, war] ;■ come to:▶ come to ( regain consciousness) ( from faint) reprendre connaissance ; ( from trance) se réveiller ;▶ come to [sth]1 ( total) [shopping] revenir à ; [bill, expenditure, total] s'élever à ; both columns should come to the same figure les deux colonnes devraient donner le même total ; that comes to £40 cela fait 40 livres sterling ;2 ( result in) aboutir à ; if it comes to a fight si on en vient à se battre ; all her plans came to nothing aucun de ses projets ne s'est réalisé ; did the plans come to anything? est-ce que les projets ont abouti? ; all our efforts came to nothing tous nos efforts ont été vains ; I never thought it would come to this je n'aurais jamais imaginé que les choses en arriveraient là ; it may not come to that ce ne sera peut-être pas nécessaire.■ come under:▶ come under [sth]1 ( be subjected to) to come under scrutiny faire l'objet d'un examen minutieux ; to come under suspicion être soupçonné ; to come under threat être menacé ; we're coming under pressure to do on fait pression sur nous pour faire ;2 ( be classified under) (in library, shop) être classé dans le rayon [reference, history] ; Dali comes under Surrealism Dali fait partie des surréalistes.■ come up:▶ come up1 ( arise) [problem, issue, matter] être soulevé ; [name] être mentionné ; to come up in conversation [subject] être abordé dans la conversation ; this type of question may come up c'est le genre de question qui pourrait être posée ;2 (be due, eligible) to come up for re-election se représenter aux élections ; my salary comes up for review in April mon salaire sera révisé en avril ; the car is coming up for its annual service la voiture va avoir sa révision annuelle ;3 ( occur) [opportunity] se présenter ; something urgent has come up j'ai quelque chose d'urgent à faire ; a vacancy has come up une place s'est libérée ;5 Jur [case, hearing] passer au tribunal ; to come up before [case] passer devant ; [person] comparaître devant.▶ come up against [sth] se heurter à [problem, prejudice, opposition].■ come up with:▶ come up with [sth] trouver [answer, idea, money].■ come upon:▶ come upon [sth] tomber sur [book, reference] ; trouver [idea] ;▶ come upon [sb] rencontrer, tomber ○ sur [friend].
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