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1 вычислительная машина-транслятор
Русско-английский словарь по вычислительной технике и программированию > вычислительная машина-транслятор
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2 машина-переводчик
Русско-английский словарь по вычислительной технике и программированию > машина-переводчик
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3 impreso para traducción
• translating machine• translation from dollars into pesetasDiccionario Técnico Español-Inglés > impreso para traducción
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4 машина-транслятор
Information technology: translating machine, translating machine ( вычислительная) -
5 вычислительная машина-транслятор
Information technology: translating machineУниверсальный русско-английский словарь > вычислительная машина-транслятор
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6 машина-переводчик
Information technology: translating machine -
7 преобразующая ЭВМ
Information technology: translating machine -
8 трансляционная ЭВМ
Information technology: translating machine (в сети с коммутацией пакетов)Универсальный русско-английский словарь > трансляционная ЭВМ
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9 машина-перекладач
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10 traduttore
m translator* * *1 translator: un buon traduttore, a good translator // traduttore simultaneo, simultaneous interpreter // traduttore elettronico, electronic translating machine // nota del traduttore, translator's note2 ( testo) book with parallel translation.* * *[tradut'tore]sostantivo maschile (f. - trice [tritʃe])1) (persona) translator2) scol. univ. (libretto) crib, trot AE3) (apparecchio) translator* * *traduttore/tradut'tore/ ⇒ 18sostantivo m.(f. - trice /trit∫e/)1 (persona) translator; traduttore letterario literary translator3 (apparecchio) translator. -
11 traductor
• translate to Spanish• translating machine• translation from dollars into pesetas• translation program• translation services• translational• translative• translator program• translator writing system -
12 máquina traductora
f.translating machine. -
13 traduction
traduction [tʀadyksjɔ̃]feminine noun* * *tʀadyksjɔ̃1) ( action) translation2) ( texte) translation3) (de sentiments, d'idées) expression•Phrasal Verbs:* * *tʀadyksjɔ̃ nf* * *traduction nf1 ( action) translation; la traduction est un exercice difficile translation is a difficult exercise; faire de la traduction littéraire/technique to do literary/technical translation; la traduction libre/littérale free/literal translation; diplôme/école de traduction translation diploma/school; la traduction de ce texte m'a pris cinq heures it took me five hours to translate this text; la traduction en allemand translating into German; être en cours de traduction to be in the process of being translated;2 ( texte) translation; traduction approximative loose translation; traduction en anglais English translation; faire des traductions to do translation work;3 fig (de sentiments, d'idées) expression.traduction assistée par ordinateur, TAO computer-aided translation, CAT.[tradyksjɔ̃] nom féminintraduction assistée par ordinateur computer ou machine (assisted) translationtraduction littérale literal ou word-for-word translation2. [texte] translation3. [transposition] expressionla traduction musicale de sa passion the expression of his passion in music, the musical expression of his passion -
14 traducción
f.1 translation, rendering, interpretation, translated version.2 translation, translating, interpretation.* * *1 translation\traducción automática INFORMÁTICA machine translationtraducción directa translation from a foreign languagetraducción inversa translation into a foreign language, prose translationtraducción simultánea simultaneous translation* * *noun f.* * *SF translation (a into) (de from)traducción automática, traducción automatizada — automatic translation, machine translation
traducción directa — translation into one's own language
* * *femenino translation* * *= translation, translation, rendering.Ex. Work continues on translations, and these will contribute to AACR's role as a truly international code.Ex. Translation is the process of converting the terms used by the indexer in his subject analysis of a document into the words, or code numbers, of a controlled language o indexing language.Ex. It is proposed that a dictionary of personal proper names be compiled as a way to reach uniformity in the rendering of foreign personal names into Russian Cyrillic and back into the Latin alphabet.----* sistema de traducción automatizada = machine translation system.* traducción asistida por ordenador = computer-aided translation (CAT), computer-assisted translation (CAT).* traducción automatizada = machine translation.* traducción de encabezamientos a través de notaciones bibliográficas = information switching.* * *femenino translation* * *= translation, translation, rendering.Ex: Work continues on translations, and these will contribute to AACR's role as a truly international code.
Ex: Translation is the process of converting the terms used by the indexer in his subject analysis of a document into the words, or code numbers, of a controlled language o indexing language.Ex: It is proposed that a dictionary of personal proper names be compiled as a way to reach uniformity in the rendering of foreign personal names into Russian Cyrillic and back into the Latin alphabet.* sistema de traducción automatizada = machine translation system.* traducción asistida por ordenador = computer-aided translation (CAT), computer-assisted translation (CAT).* traducción automatizada = machine translation.* traducción de encabezamientos a través de notaciones bibliográficas = information switching.* * *A1 (acción) translationla traducción del artículo me llevó un día it took me a day to translate the articletraducción del inglés al español translation from English into Spanish2 (versión) translation¿lo leíste en el original o en traducción? did you read it in the original or in translation?Compuestos:computer-assisted translation, CAT● traducción automática or automatizadamachine translation, automatic translationejercicio de traducción inversa prose, prose translationmachine translationsimultaneous translationB ( Inf) translation* * *
traducción sustantivo femenino
translation;
traducción sustantivo femenino translation
traducción libre, free translation
' traducción' also found in these entries:
Spanish:
baja
- bajo
- bordada
- bordado
- dato
- despertarse
- estar
- irse
- ladrón
- ladrona
- llevar
- sentar
- soler
- te
- tela
- toda
- todo
- traslación
- tutearse
- versión
- aproximado
- fiel
- interpretación
- libre
- revisar
- textual
English:
accurate
- close
- do
- fuck
- loose
- prose
- rendering
- to
- translation
* * *traducción nftranslationtraducción asistida por Esp ordenador oAm computadora computer-aided translation;traducción automática machine translation;traducción directa translation into one's own language;traducción inversa translation out of one's own language;traducción simultánea simultaneous translation* * *f translation;traducción simultánea simultaneous translation* * ** * *traducción n translation -
15 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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16 mettre
mettre [mεtʀ]━━━━━━━━━━━━━━━━━━➭ TABLE 561. <━━━━━━━━━━━━━━━━━► Lorsque mettre s'emploie dans des expressions telles que mettre qch en place, se mettre à table, reportez-vous à l'autre mot.━━━━━━━━━━━━━━━━━a. ( = placer) to put• où mets-tu tes verres ? where do you keep your glasses?► mettre qch à (+ infinitif)• mettre du linge à sécher (à l'intérieur) to hang washing up to dry ; (à l'extérieur) to hang washing out to dryb. ( = revêtir) to put onc. ( = consacrer) to take• il y a mis le temps ! he's taken his time!• je suis prêt à mettre 500 € I'm willing to give 500 eurosd. ( = faire fonctionner) to put one. ( = installer) [+ eau] to lay on ; [+ placards] to put in ; [+ étagères, rideaux] to put up ; [+ moquette] to layf. ( = supposer) mettons que je me sois trompé let's say I've got it wrong• si un pays, mettons la Norvège, décide... if a country, Norway say, decides...• va te faire mettre ! (vulg!) fuck off! (vulg!)2. <a. ( = se placer) [objet] to go• il y a un bout de métal qui s'est mis dans l'engrenage a piece of metal has got caught in the worksb. ( = s'habiller) se mettre en short to put on a pair of shortsc. ( = s'ajouter) il s'est mis de l'encre sur les doigts he's got ink on his fingersd. ( = se grouper) ils se sont mis à plusieurs pour pousser la voiture several of them joined forces to push the car• se mettre avec qn ( = faire équipe) to team up with sb ; (en ménage) (inf) to move in with sb (inf)e. ( = commencer) to start• qu'est-ce que tu es énervant quand tu t'y mets ! (inf) you can be a real pain once you get started! (inf)► se mettre à + nom• il s'est bien mis à l'anglais he's really taken to English► se mettre à + infinitif• voilà qu'il se met à pleuvoir ! and now it's starting to rain!* * *mɛtʀ
1.
1) (placer dans un endroit, une position) to put2) ( projeter involontairement) to drop [confiture, beurre] ( sur on); to spill [liquide, poudre] ( sur on)3) ( placer sur le corps) to put on [écharpe, fard]4) ( placer dans le corps) to put in5) ( porter habituellement sur le corps) to wear6) (placer dans une situation, un état)7) ( classer)mettre quelque chose avant tout le reste or au-dessus de tout — to put something
8) ( disposer)9) ( faire fonctionner)mettre la radio/les nouvelles — to put the radio/the news on
mets plus/moins fort! — turn it up/down!
10) ( installer) to put in [chauffage, douche, téléphone, placard]; to put up [rideau, lustre, étagère]mettre du carrelage/de la moquette — to lay tiles/a carpet
faire mettre de la moquette — ( dans plusieurs pièces) to have carpets laid
11) ( écrire) to put up [inscription]il met que tout va bien — ( dans une lettre) he says ou writes that everything's fine
mettre au passif/en anglais — to put into the passive/into English
est-ce qu'on met un trait d'union à ‘multinational’? — is there a hyphen in ‘multinational’?
mettez le pronom qui convient — ( remplacez) replace with the appropriate pronoun; ( bouchez les trous) insert the appropriate pronom
13) ( consacrer)14) (investir, dépenser) to put [argent] (dans, sur into)combien pouvez-vous mettre? — ( pour acheter) how much can you afford?; ( pour contribuer) how much can you put in?
mettre un temps fou — (colloq) to take ages (colloq)
16) (colloq) ( vendre)17) ( attribuer) to give [note]18) (colloq) ( dire)mettons dix dollars/à dix heures — let's say ten dollars/at ten
19) (colloq) ( supposer)20) (sl) ( ficher)tu peux te le mettre où je pense or quelque part — you know where you can put it (colloq)
2.
verbe intransitifmettre bas — gén [vache] to calve; [brebis] to lamb; [jument] to foal
3.
se mettre verbe pronominal1) (se placer dans un endroit, une position)se mettre devant la fenêtre — ( debout) to stand in front of the window; ( assis) to sit down in front of the window
2) ( projeter involontairement sur soi) to spill [something] on oneself [liquide, poudre]3) ( placer sur son corps) to put on [veste, fard]4) ( placer dans son corps) to put in5) ( commencer)6) ( tourner)le temps s'est mis au froid/à la pluie — the weather has turned cold/to rain
7) (se placer dans une situation, un état)on va se mettre ensemble — (colloq) ( sous le même toit) we're going to live together
8) ( s'habiller)9) ( se grouper)* * *mɛtʀ vt1) (= placer) to putmettre en sac — to put in bags, to put in sacks
mettre qch à la poste — to post sth Grande-Bretagne to mail sth USA
mettre qn en examen pour qch — to charge Grande-Bretagne sb with sth, to indict USA sb for sth
2) [vêtements] (= revêtir) to put on, (= porter) to wearMets ton gilet. — Put your cardigan on.
Je mets mon manteau et j'arrive. — I'll put on my coat and then I'll be ready.
Je ne mets plus mon manteau. — I no longer wear my coat.
Elle ne met pas souvent de jupe. — She doesn't often wear a skirt.
3) (= faire fonctionner) [chauffage, électricité] to put on, [réveil, minuteur] to setIl fait froid, je vais mettre le chauffage. — It's cold, I'm going to put the heating on.
4) (= installer) [gaz, eau] to put in, to lay onfaire mettre le gaz — to have gas put in, to have gas installed
faire mettre l'électricité — to have electricity put in, to have electricity installed
5) (= consacrer)mettre du temps à faire qch — to take time to do sth, to take time over sth
mettre 2 heures à faire qch — to take 2 hours to do sth, to take 2 hours over sth
Elle met des heures à se préparer. — She takes hours to get ready.
6) (= noter, écrire) to putmettez les mots suivants au pluriel:... — put the following words into the plural:...
7) (= supposer)mettons que... — let's suppose that..., let's say that...
* * *mettre verb table: mettreA vtr1 (placer dans un endroit, une position) to put [chose, partie du corps, personne]; mettre un vase sur la table/des bûches dans la cheminée/le vin au frais to put a vase on the table/logs on the fire/the wine in a cool place; j'ai mis ta voiture au garage I've put your car in the garage for you; mettre les pieds sur la table/les mains sur la tête to put one's feet on the table/one's hands on one's head; mettre les mains en l'air/un timbre à l'envers to put one's hands up/a stamp on upside down; on m'a mis devant/tout au fond they put me at the front/right at the back; je l'ai mise sur ses pieds I put her on her feet; je mets les enfants à la crèche I send the children to a creche; il m'a mis en bas de chez moi he dropped me off outside my door; on m'a mis debout they stood me up; nous l'avons mise à l'hôtel we put her up at the hotel;2 ( projeter involontairement) to drop [solide]; to spill [liquide, poudre]; mettre de la confiture sur le tapis to drop jam on the carpet; mettre de la colle/farine partout to spill glue/flour all over the place;3 ( placer sur le corps) to put on [vêtement, bijou, maquillage, lunettes, préservatif, serviette]; mets ton écharpe put your scarf on; je vais mettre du mascara I'll put some mascara on;4 ( placer dans le corps) to put in [tampon, suppositoire, plombage]; on m'a mis un plombage I had a filling;5 ( porter habituellement sur le corps) to wear [lunettes, type de vêtement, parfum]; dans mon école les garçons mettent des cravates in my school boys wear ties; je ne mets jamais de chapeau I never wear a hat;6 (placer dans une situation, un état) mettre qn dans une situation embarrassante to put sb in an embarrassing situation; mettre qn en colère/en joie to make sb angry/happy; mettre qn en fureur to enrage sb; mettre qn au désespoir to drive sb to despair; mettre qn de bonne/mauvaise humeur to put sb in a good/bad mood; tu me mets hors de moi you infuriate me; mettre qn à la chaîne/à la reliure to put sb on the assembly line/on binding; mettre qn au travail to put sb to work; mettre qn au piano/au latin to start sb on the piano/on Latin; mettre les enfants à regarder la télévision to put the children in front of the television; si vous nous quittez, on mettra quelqu'un d'autre if you leave us, we'll find somebody else; mettre le riz à cuire to put the rice on; mettre le linge à sécher to put the washing out to dry;7 ( classer) mettre la famille avant tout le reste to put one's family first; mettre ses études au-dessus de tout to put one's studies first; je le mets au premier rang de tous les écrivains I rank him the best writer of all;8 ( disposer) mettre les assiettes to put the plates on the table; mettre les verres/la moutarde/un cendrier to put out the glasses/the mustard/an ashtray; mettre les chaises/une autre chaise to bring chairs/another chair; mettre une nappe to put on a tablecloth; je t'ai mis des draps propres I've put clean sheets on for you;9 ( faire fonctionner) mettre la radio/la télévision/le chauffage to put the radio/the television/the heating on; mettre les nouvelles/la deuxième chaîne to put the news/channel 2 on; mettre plus fort to turn up [appareil]; mettre moins fort to turn down [appareil]; mets plus/moins fort! turn it up/down!; mettre les essuie-glaces/les phares to switch on ou put on the windscreen GB ou windshield US wipers/the headlights; mettre le réveil to set the alarm; mettre le verrou to bolt the door; mettre le loquet to latch the door;10 ( installer) to put in [chauffage, douche, téléphone, placard]; to put up [rideau, lustre, étagère]; faire mettre le téléphone to have a telephone put in; je t'ai mis une prise I've put in a socket for you; mettre de la moquette to lay a carpet; faire mettre de la moquette ( dans une pièce) to have a carpet laid; ( dans plusieurs pièces) to have carpets laid; mettre du carrelage to lay tiles;11 ( écrire) to put up [inscription]; ils ont mis des graffiti partout/sur la colonne they've put graffiti everywhere/on the column; il met que tout va bien ( dans une lettre) he says ou writes that everything's fine; qu'est-ce que je dois mettre? what shall I put?; mettre au passif/au singulier to put into the passive/into the singular; mettre en vers to put into verse; je t'ai mis un mot I've left you a note; est-ce qu'on met un trait d'union à ‘multinational’? is there a hyphen in ‘multinational’?; il faut mettre un trait d'union you must put a hyphen in; mettre sa signature sur un document to put one's signature to a document; mettez votre signature ici sign here; mettez le pronom qui convient ( remplacez) replace with the appropriate pronoun; ( bouchez les trous) insert the appropriate pronom; mettre en musique to set to music; mettre en anglais to put into English; mettre son brouillon au propre or au net to write out ou up one 's notes;12 ( ajouter) to add [ingrédient] (dans to); to put [accessoire, élément décoratif]; mettre du sel dans la soupe to put some salt in the soup; mettre un peu de piment dans un récit to add a little spice to a story; mettre une sonnette à son vélo/des pompons à ses pantoufles to put a bell on one's bicycle/pompoms on one's slippers; mettre une radio à sa voiture/une doublure à sa veste to put a radio in one's car/a lining in one's jacket;13 ( consacrer) mettre tout son cœur dans son travail to put one's heart into one's work; y mettre du sien to put oneself into it; mettre toute son énergie à essayer de comprendre to put all one's energy into trying to understand; mettre des moyens importants au service d'une cause to use all possible means to further a cause; mettre de la rigueur dans sa démarche to become more thorough in one's approach;14 (investir, dépenser) to put [argent] (dans, sur into); mettre tout son argent dans son commerce to put all one's money into one's business; j'ai tout mis sur le pétrole I've put everything into oil; il a tout mis sur un cheval/une équipe he's put everything on a horse/a team; combien pouvez-vous mettre? ( pour acheter) how much can you afford?; ( pour contribuer) how much can you put in?;15 ( prendre) [activité] to take [heures, jours, années] (pour faire to do); elle a bien mis une heure it took her easily an hour; mettre un temps fou○ to take ages○;16 ○( vendre) je vous mets des tomates? would you like some tomatoes?; je vous en mets combien? deux, trois? how many would you like? two, three?;17 ○( attribuer) je vous ai mis trois sur vingt I've given you three out of twenty;18 ○( battre) ils nous ont mis trois à zéro they beat us three nil GB ou three to nothing US; je lui ai mis une gifle I gave him/her a slap (across the face); tu veux que je te mette mon poing sur la figure? do you want my fist in your face○?; qu'est-ce qu'il m'a mis! what a thrashing○ he gave me!;20 ○( dire) mettons dix dollars/à dix heures let's say ten dollars/at ten;21 ○( supposer) mettons qu'il vienne, qu'est-ce que vous ferez? supposing ou say he comes, what will you do?;22 ◑( ficher) tu peux te le mettre où je pense or quelque part you know where you can put○ it ou stick◑ it; va te faire mettre get stuffed◑!B vi Vét, Zool mettre bas gén to give birth, to drop; [vache] to calve; [brebis] to lamb; [jument] to foal.C se mettre vpr1 (se placer dans un endroit, une position) se mettre devant la fenêtre ( debout) to stand in front of the window; ( assis) to sit down in front of the window; ( couché) to lie (down) in front of the window; se mettre sur les mains to stand on one's hands; se mettre sur le dos to lie on one's back; se mettre au lit to go to bed; se mettre debout to stand up; se mettre sur ses jambes to get to one's feet; ne plus savoir où se mettre not to know where to put oneself; se mettre les mains sur la tête to put one's hands on one's head; se mettre les doigts dans le nez to pick one's nose; où est-ce que ça se met? where does this go?;2 ( projeter involontairement sur soi) to spill [sth] on oneself [liquide, poudre]; se mettre de la confiture to get jam on oneself; se mettre de la boue sur ses chaussures/de l'encre sur le nez/une poussière dans l'œil to get mud on one's shoes/ink on one's nose/some grit in one's eye; s'en mettre partout to get it all over oneself;3 ( placer sur son corps) to put on [vêtement, bijou, maquillage]; se mettre un foulard/un collier/du rouge à lèvres to put on a scarf/a necklace/lipstick; se mettre de la poudre sur le visage to put some powder on one's face, to powder one's face; je ne sais pas quoi me mettre I don't know what to put on;4 ( placer dans son corps) to put in [suppositoire, tampon];5 ( commencer) se mettre à l'anglais/au tennis to take up English/tennis; se mettre à prendre des somnifères to start taking sleeping pills; ma voiture se met à avoir des problèmes my car is starting to go wrong; il va se mettre à pleuvoir it's going to start raining; il se met à faire froid/du vent it's starting to get cold/windy;6 ( tourner) le temps s'est mis au froid/au beau/à la pluie the weather has turned cold/fine/to rain;7 ( se lancer) elle s'est mise à leur recherche she started looking for them; je me suis mis sur l'affaire I started looking into the case;8 (se placer dans une situation, un état) se mettre en tort to put oneself in the wrong; se mettre dans une situation impossible to get (oneself) into an impossible situation; se mettre dans une sale affaire to get involved in some shady business; je me mets de ton côté I'm on your side; je préfère me mettre bien avec lui I prefer to get on the right side of him; se mettre à l'aise to make oneself comfortable; se mettre en colère to get angry; se mettre nu to take off one's clothes; on va se mettre ensemble○ ( sous le même toit) we're going to live together; il s'est mis avec elle○ ( de son côté) he's on her side; ( sous le même toit) he's moved in with her;9 ( s'habiller) se mettre en tenue d'été to put on summer clothes; se mettre en arlequin to dress up as Harlequin; se mettre en jaune to wear yellow;10 ( se grouper) ce n'est pas la peine de vous (y) mettre à dix there's no need for ten of you; ils s'y sont mis à au moins trente there were at least thirty of them;11 ○( manger) je m'en suis mis un maximum I really stuffed○ myself; s'en mettre plein la panse○ or lampe○ or gueule● to stuff○ oneself; qu'est-ce qu'on s'est mis! we really stuffed○ ourselves!;12 ( se battre) qu'est-ce qu'on s'est mis! we really laid○ into each other![mɛtr] verbe transitif1. [placer] to putmettre sa confiance/tout son espoir en to put one's trust/all one's hopes inmettre quelqu'un dans: mettre quelqu'un dans l'avion/le train to put somebody on the plane/the trainmettre quelqu'un en: mettre un enfant en pension to put a child in a ou to send a child to boarding schoolmettre de l'argent sur son compte to put ou to pay some money into one's accountmettre la main sur le bras de quelqu'un to lay ou to put one's hand on somebody's arm3. [disposer]4. [ajuster] to setmets la sonnerie à 20 h 30 set the alarm for 8:30 p.m5. [établir - dans un état, une situation]mettre quelqu'un au travail to set somebody to work, to get somebody workinga. [perplexité] to put somebody in a predicamentb. [pauvreté] to put somebody in financial difficultymettre du vin en bouteilles to put wine into bottles, to bottle winemettre du linge à sécher to put ou to hang clothes up to drymettre quelque chose à tremper to put something to soak, to soak something6. [fixer] to putmettre une pièce à un pantalon to put a patch on ou to patch a pair of trousers[ajouter] to put7. [se vêtir, se coiffer, se chausser de] to put on (separable)[porter régulièrement] to wearje lui ai mis son manteau/ses gants I put his coat/his gloves on (for him)8. [faire fonctionner - appareil] to turn ou to put ou to switch on (separable)mets de la musique put some music on, play some musicmettre du papier peint/de la moquette dans une pièce to wallpaper/to carpet a room10. [consacrer - temps] to takeelle a mis trois mois à me répondre she took three months ou it took her three months to answer menous y mettrons le temps/le prix qu'il faudra we'll spend as much time/money as we have tomettre de l'argent dans une voiture to put money in ou into a car11. [écrire] to puton met un accent sur le "e" "e" takes an accenton met deux m à "pomme" "pomme" has two m's12. [supposer]et mettons que tu gagnes? suppose ou let's say you win?il faut, mettons, 2 mètres de tissu we need, (let's) say ou shall we say, 2 metres of materialmettons que j'ai mal compris! [acceptation] let's just say I got it wrong!13. [donner] to givele prof m'a mis 18 ≃ the teacher gave me an A14. (familier) [infliger]qu'est-ce qu'il m'a mis au ping-pong! he really hammered me ou he didn't half thrash me at table tennis!je lui ai mis une bonne claque I gave ou landed him a good clout15. (locution)————————se mettre verbe pronominal (emploi passif)1. [dans une position, un endroit - chose] to goles pieds, ça ne se met pas sur la table! tables aren't made to put your feet on!2. [aller - vêtement] to go————————se mettre verbe pronominal intransitif1. [s'installer, s'établir - dans une position]a. [debout] stand near the windowb. [assis] sit near the windowmettez-vous en cercle arrange yourselves into ou form a circle2. [entrer - dans un état, une situation]il s'est mis dans une position difficile he's got ou put himself in a difficult situation3. [s'habiller]4. [s'unir]a. [pour un jeu] to team up with somebodyb. [pour vivre] to move in with somebodyc. [dans une discussion] to side with somebodyon s'est mis par équipes de 6 we split up into ou we formed teams of 6 (people)5. (locution)a. (très familier) [dans un combat, un débat] they're really having a go at each other!b. [en mangeant] they're really getting stuck in!————————se mettre verbe pronominal transitifto put on (separable)se mettre une belle robe/du parfum to put on a nice dress/some perfume————————se mettre à verbe pronominal plus préposition1. [passer à]le temps se met au froid it's getting ou turning cold2. [commencer]se mettre à l'ouvrage to set to work, to get down to worka. [au travail] to get down to itb. [à une activité nouvelle] to have a trysi tu t'y mets aussi, je renonce! if you join in as well, I give up! -
17 Code
m Kode* * *der Codecode* * *[koːt]m -s, -scodeSee:→ auch Kode* * *der1) (a (secret) system of words, letters, or symbols: the Morse Code; The message was in code; We have deciphered the enemy's code.) code2) (a system of symbols etc for translating one type of language into another: There are a number of codes for putting English into a form usable by a computer.) code* * *[ko:t]m codemaschinenlesbare \Codes machine-readable codes* * ** * *-s f.code n. -s Schlüssel m.key code n. -s Umsetzer m.code converter n. -
18 внутренний словарь
комп. an internal dictionaryWhen translating computer programs from the programmer's language to machine language, an internal dictionary is first created, and the computer then proceeds with the language conversion based upon a fixed list of vocabulary with a prescribed set of grammatical rules. — При переводе компьютерных программ с языка программиста на машинный язык, вначале создается внутренний словарь, и компьютер затем переходит к преобразованию формы записи, основанной на установленном списке словаря с заданным набором грамматических правил.
Дополнительный универсальный русско-английский словарь > внутренний словарь
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19 заданный набор
фраз. a prescribed set of smthWhen translating computer programs from the programmer's language to machine language, an internal dictionary is first created, and the computer then proceeds with the language conversion based upon a fixed list of vocabulary with a prescribed set of grammatical rules. — При переводе компьютерных программ с языка программиста на машинный язык, вначале создается внутренний словарь, и компьютер затем переходит к преобразованию формы записи, основанной на установленном списке словаря с заданным набором грамматических правил.
Дополнительный универсальный русско-английский словарь > заданный набор
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20 преобразование формы записи (данных)
комп.фраз. language conversionWhen translating computer programs from the programmer's language to machine language, an internal dictionary is first created, and the computer then proceeds with the language conversion based upon a fixed list of vocabulary with a prescribed set of grammatical rules. — При переводе компьютерных программ с языка программиста на машинный язык, вначале создается внутренний словарь, и компьютер затем переходит к преобразованию формы записи, основанной на установленном списке словаря с заданным набором грамматических правил.
Дополнительный универсальный русско-английский словарь > преобразование формы записи (данных)
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См. также в других словарях:
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