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1 meta-knowledge
Вычислительная техника: метазнание -
2 meta-knowledge
метазнание, знание о знании -
3 meta-knowledge
метазнание, знание о знанииThe New English-Russian Dictionary of Radio-electronics > meta-knowledge
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4 meta-knowledge
metakennis -
5 meta-knowledge
English-Russian dictionary of computer science > meta-knowledge
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6 knowledge
знание, знания- assertional knowledge
- borrowed knowledge
- casual knowledge
- commonsense knowledge
- compiled knowledge
- conceptual knowledge
- declarative knowledge
- default knowledge
- derived knowledge
- descriptive knowledge
- domain knowledge
- engineered knowledge
- erroneous knowledge
- expert knowledge
- factual knowledge
- framed knowledge
- fundamental knowledge
- fuzzy knowledge
- hardwired knowledge
- heuristic knowledge
- meta-knowledge
- personal knowledge
- piecewise knowledge
- prior knowledge
- prescriptive knowledge
- procedural knowledge
- propositional knowledge
- semantic knowledge
- structured knowledge -
7 knowledge
знание, знания- assertional knowledge
- borrowed knowledge
- casual knowledge
- commonsense knowledge
- compiled knowledge
- conceptual knowledge
- declarative knowledge
- default knowledge
- derived knowledge
- descriptive knowledge
- domain knowledge
- engineered knowledge
- erroneous knowledge
- expert knowledge
- factual knowledge
- framed knowledge
- fundamental knowledge
- fuzzy knowledge
- hardwired knowledge
- heuristic knowledge
- meta-knowledge
- personal knowledge
- piecewise knowledge
- prescriptive knowledge
- prior knowledge
- procedural knowledge
- propositional knowledge
- semantic knowledge
- structured knowledgeThe New English-Russian Dictionary of Radio-electronics > knowledge
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8 SMK
1) Компьютерная техника: Shared Management Knowledge2) Военный термин: Shelter Management Kit3) Политика: Party of Hungarian Coalition4) Вычислительная техника: Software Migration Kit, Structured Meta-Knowledge, инструментальные средства переноса программного обеспечения, комплект инструментальных средств переноса программного обеспечения5) Фирменный знак: Syn Mun Kong Insurance Company6) СМИ: Scarecrow and Mrs. King (Television show)7) Безопасность: System Multipurpose Key8) Расширение файла: Software Migration Kit (Microsoft)9) Аэропорты: St. Michael, Alaska USA -
9 Smk
1) Компьютерная техника: Shared Management Knowledge2) Военный термин: Shelter Management Kit3) Политика: Party of Hungarian Coalition4) Вычислительная техника: Software Migration Kit, Structured Meta-Knowledge, инструментальные средства переноса программного обеспечения, комплект инструментальных средств переноса программного обеспечения5) Фирменный знак: Syn Mun Kong Insurance Company6) СМИ: Scarecrow and Mrs. King (Television show)7) Безопасность: System Multipurpose Key8) Расширение файла: Software Migration Kit (Microsoft)9) Аэропорты: St. Michael, Alaska USA -
10 smk
1) Компьютерная техника: Shared Management Knowledge2) Военный термин: Shelter Management Kit3) Политика: Party of Hungarian Coalition4) Вычислительная техника: Software Migration Kit, Structured Meta-Knowledge, инструментальные средства переноса программного обеспечения, комплект инструментальных средств переноса программного обеспечения5) Фирменный знак: Syn Mun Kong Insurance Company6) СМИ: Scarecrow and Mrs. King (Television show)7) Безопасность: System Multipurpose Key8) Расширение файла: Software Migration Kit (Microsoft)9) Аэропорты: St. Michael, Alaska USA -
11 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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12 system
1) система || системный3) вчт операционная система; программа-супервизор5) вчт большая программа6) метод; способ; алгоритм•system halted — "система остановлена" ( экранное сообщение об остановке компьютера при наличии серьёзной ошибки)
- CPsystem- H-system- h-system- hydrogen-air/lead battery hybrid system- Ksystem- Lsystem- L*a*b* system- master/slave computer system- p-system- y-system- Δ-system -
13 well
I [wel]2) (in satisfactory state) benethat's all very well, but — è tutto molto bello, però
it's all very well for you to laugh, but — tu fai presto a ridere, ma
3) (prudent)it would be as well for you to... — faresti meglio a
4) (fortunate)it was just as well for him that... — gli è andata bene che...
II [wel]the flight was delayed, which was just as well — per fortuna il volo era in ritardo
1) (satisfactorily) [treat, behave, sleep etc.] beneto do oneself well — trattarsi bene, non farsi mancare nulla
to do well by sb. — mostrarsi gentile con qcn., comportarsi bene con qcn
I can well believe it — credo bene, ci credo
"shall I shut the door?" - "you might as well" — "chiudo la porta?" - "fai pure"
he looked shocked, as well he might — sembrava scioccato, e non c'è da stupirsi
3) (intensifier) bento speak well of sb. — parlare bene di qcn
5)to wish sb. well — augurare ogni bene a qcn
6)as well as — (in addition to) così come
••to be well in with sb. — colloq. stare bene con qcn.
to be well up in sth. — conoscere bene qcs.
to leave well alone — BE o
well enough alone — AE (not get involved) non metterci le mani
III [wel]you're well out of it! — colloq. per fortuna ne sei fuori!
interiezione (expressing astonishment) beh; (expressing indignation, disgust) insomma; (expressing disappointment) bene; (after pause in conversation, account) allorawell, you may be right — beh, forse hai ragione
well then, what's the problem? — allora, qual è il problema?
oh well, there's nothing I can do about it — beh, non posso farci niente
IV [wel]well, well, well, so you're off to America? — e così parti per l'America?
1) (in ground) pozzo m.2) (pool) sorgente f., fonte f.3) ing. (for stairs, lift) vano m.4) BE (in law court) = spazio riservato ai difensoriV [wel]- well up* * *(to have a good, or bad, opinion of: She thought highly of him and his poetry.) (avere una buona/cattiva opinione di)* * *I [wɛl]1. n2. vi(tears, emotions) sgorgare•- well upII [wɛl] better comp best superl1. adv1) (gen) benewell done! — ben fatto!, bravo (-a)!
well over a thousand — molto or ben più di mille
all or only too well — anche troppo bene
he's well away — (fam: drunk) è completamente andato
2)(probably, reasonably)
we might just as well have... — tanto valeva...she cried, as well she might — piangeva a buon diritto
one might well ask why... — ci si potrebbe ben chiedere perché...
I might or may as well come — quasi quasi vengo
3)as well — (in addition) anche
she sings, as well as playing the piano — oltre a suonare il piano, canta
we worked hard, but we had some fun as well — abbiamo lavorato sodo, ma ci siamo anche divertiti
2. adj1)to be well — stare bene2) (acceptable, satisfactory) buono (-a)that's all very well, but... — va benissimo, ma..., d'accordo, ma...
3. excl(gen) bene, (resignation, hesitation) be'well, as I was saying... — dunque, come stavo dicendo...
well, well, well! — ma guarda un po'!
very well then — va bene, molto bene
very well, if that's the way you want it — (unenthusiastic) va bene, se questo è quello che vuoi
well I never! — ma no!, ma non mi dire!
well there you are then! — ecco, hai visto!
it's enormous! Well, quite big anyway — è gigantesco! Be', diciamo molto grande
4. nto wish sb well — augurare ogni bene a qn, (in exam, new job) augurare a qn di riuscire
* * *well (1) /wɛl/n.1 pozzo: artesian well, pozzo artesiano; oil wells, pozzi petroliferi; to sink a well, scavare un pozzo5 (naut.) pozzo delle pompe● (naut.) well boat, (barca) vivaio □ well borer, scavatore di pozzi; (ind. min.) sonda-trivella □ well-boring, che scava pozzi □ (ind. min.) well core, carota □ well-curb, vera (di pozzo) □ (naut.) well deck, ponte a pozzo (per es., di aliscafo) □ (ind. min.) well drilling, trivellazione; sondaggio □ well-hole, pozzo; (edil.) tromba (o pozzo) delle scale □ (metall.) the well of a blast furnace, il crogiolo di un altoforno □ well sinker, scavatore di pozzi □ well sweep, pertica del pozzo; shaduf, sciaduf □ well water, acqua di pozzo.♦ well (2) /wɛl/1 bene; attentamente; diligentemente; rettamente; con cura; a fondo; completamente: to sleep well, dormire bene; to speak well of sb., parlar bene di q.; Stir it well before you drink it, rimescolalo bene prima di berlo; Green and yellow go well together, il verde e il giallo stanno bene insieme; to treat sb. well, trattar bene q.; The work is well done, il lavoro è fatto bene; DIALOGO → - After an exam- I think I answered the questions quite well, credo di aver risposto abbastanza bene a tutte le domande; to know sb. well, conoscer bene q.; conoscere a fondo q.2 bene; a ragione: You may well say so, puoi ben dirlo; You did well to stay at home, hai fatto bene a restare a casa; You can't very well back out now, non puoi tirarti indietro adesso a ragione● (fam.) well and truly, del tutto; completamente □ (fam.) well and truly drunk, ubriaco fradicio □ well away, avanti (nel fare qc.); a buon punto; (pop.) bell'e che andato ( cioè ubriaco o addormentato) □ to be well on in life, essere avanti con gli anni □ It's well on midday, è quasi mezzogiorno □ to be well out of it, essersela cavata a buon mercato; esserne fuori □ to be well past forty [fifty, sixty], aver passato la quarantina [la cinquantina, la sessantina] da un pezzo □ to be well up in st., essere al corrente di qc.; conoscere bene qc. □ as well, anche; pure: I shall come as well, verrò io pure; DIALOGO → - Booking online- We might as well book now, potremmo anche (o tanto vale) prenotare adesso NOTA D'USO: - also / too- □ as well as, così come; tanto quanto; non solo ma anche; come pure: He gave me shelter as well as food, mi diede non solo asilo, ma anche da sfamarmi □ to come off well, ( di persona) cavarsela, uscirne bene; ( di cosa) riuscir bene; (fam.) fare una bella figura □ to do well, fare bene ( nella vita, ecc.): Your son will do well, tuo figlio farà bene (o si farà strada) □ to do oneself well, trattarsi bene; non farsi mancar nulla □ to do well out of the sale of one's car, vendere bene la propria automobile □ to examine st. well, esaminare qc. a fondo □ just as well = (That's) just as well ► sotto □ to live well, vivere nell'agiatezza; passarsela bene □ to look well, guardar bene; cercare attentamente; ( anche: di persona) stare bene, fare la propria figura; ( di cosa) stare bene: Jane looks well in green, Jane sta bene vestita di verde; Does this tie look well on me?, mi sta bene questa cravatta? □ perfectly well, alla perfezione; perfettamente □ pretty well finished, quasi finito □ to receive sb. well, fare buona accoglienza a q. □ (impers.) to speak well for sb., far onore a q.: It speaks well for him that he refused, gli fa onore l'aver rifiutato □ to stand well with sb., essere in buoni rapporti con q.; essere nelle buone grazie di q. □ very well, benissimo: You've done your homework very well, hai fatto benissimo i tuoi compiti □ DIALOGO → - Business trip 2- Well done!, ben fatto!; bravo! □ Well met!, proprio te!; che piacere incontrarti! □ Well run! hai fatto un'ottima corsa!; bravo! □ That boy will do well ( in life), quel ragazzo si farà strada (nella vita) □ Look well to yourself, bada a te!; sta' bene attento! □ You might ( just) as well throw your money away, tanto varrebbe che i tuoi soldi li buttassi via □ ( That's) just as well, poco male!; meglio così!; pazienza!; fa lo stesso! □ (prov.) Well begun is half done, chi ben comincia è a metà dell'opera □ (prov.) Let well ( enough) alone, il meglio è nemico del bene.♦ well (3) /wɛl/1 bene; in buona salute; in buone condizioni: Is he well or ill?, sta bene o è malato?; I am feeling well today, oggi mi sento bene; I am perfectly well, sto benissimo; DIALOGO → - Greetings and other useful phrases- I'm very well, thank you, sto molto bene, grazie; fairly (o reasonably) well, abbastanza bene2 bene; opportuno; consigliabile; utile; giusto; bello: It would be well to inquire, sarebbe bene indagareB a. attr.● well and good!, d'accordo!; sta bene!; alla buon'ora! □ well enough, abbastanza bene; benino; discretamente: I am well enough, sto abbastanza bene □ to be well off, passarsela bene; essere in buone condizioni finanziarie □ to be well up in Latin, essere forte in latino □ to get well ( again), guarire; ristabilirsi; DIALOGO → - Feeling ill- Get well soon!, guarisci presto! □ to look well (o to be looking well), avere una bella cera (o un bell'aspetto) □ (iron.) It's all very well … but, sta bene… ma □ All's well, tutto a posto!; tutto bene! □ (prov.) All's well that ends well, tutto è bene quel che finisce bene.well (4) /wɛl/n. [u]● It was well for her that you were present, fu una fortuna (fam.: un bene) per lei che tu fossi presente.♦ well (5) /wɛl/inter.beh; ebbene; dunque; allora: Well, what shall we do now?, beh, e ora che facciamo?; Well, what about it?, ebbene, che ne dici?; Well, as I was saying…, dunque, come stavo dicendo…; Well then?, e allora?, e poi?; e con ciò?● well, but, sì, ma: Well, but what about the others?, sì, ma gli altri? □ Very well!, benissimo!; benone!; d'accordo!; ( anche) fa pure!; staremo a vedere! □ Well, I see, bene, bene; capisco □ Well, to be sure!, ma certo!; questa sì che è bella!; ( con incredulità) ma no!; davvero? □ Well, I never!, chi l'avrebbe mai detto?; ma no!; impossibile!well (6) /wɛl/pref.(in numerosi composti, quali:) well-adjusted, ben inserito ( nel lavoro, nella società); well-advised, saggio; prudente: a well-advised decision, una decisione saggia; well-appointed, bene attrezzato; bene arredato; ben equipaggiato: a well-appointed office, un ufficio bene arredato; well-balanced, ben proporzionato; bilanciato; equilibrato: (med.) a well-balanced diet, una dieta bilanciata; a well-balanced mind, una mente equilibrata; ( boxe, lotta, ecc.) well-balanced stance, positura bene impostata; buona impostazione della posizione; well-behaved, educato, beneducato; well-beloved, beneamato; amatissimo; well-born, bennato, di buona famiglia; well-bred, ( di persona) educato, beneducato; ( di cavallo, ecc.) di razza; ( di un uomo) well-built, ben piantato; ben messo; well-chosen, scelto bene, appropriato; well-conditioned, onesto, retto; ( di animale) sano; well-conducted, bene costumato, che si comporta bene, disciplinato; ( di azienda, ecc.) gestito bene, bene organizzato; well-connected, di buon parentado; che ha buone relazioni sociali (o commerciali); ( del gioco) well-constructed, ben costruito; articolato; ( di un giocatore) well-coordinated, coordinato; che ha una buona coordinazione; well-defined, ben definito; ( di concetto) chiaro, esplicito; well-deserved, meritato; giusto: well-deserved win, vittoria meritata; well-disposed, bendisposto, benevolo, favorevole; well-doer, chi fa del bene; persona virtuosa; well-doing, l'agir bene; la virtù; well-done, ben fatto; ( di cibo) ben cotto; well-dressed, ben vestito; well-earned, meritato: a well-earned reward, una ricompensa meritata; well-endowed, ben dotato ( fisicamente); superdotato; well established, ( di organo, potere, ecc.) solido, saldo; ( di costume) inveterato, radicato; ( di professionista) affermato; (arc.) well-favoured, bello, di bell'aspetto; well-fed, ben nutrito; well-found, bene attrezzato, ben equipaggiato; well-founded, fondato: well-founded charges, accuse fondate; (arc.) well-graced, aggraziato; attraente; well-groomed, attillato, azzimato; well-grounded, fondato; bene informato, competente, esperto; (fig. fam.) well-heeled, ricco, facoltoso, agiato; ( anche) bene organizzato, ben strutturato; (fam.) well-hung, ( d'abito) che cade bene, che sta bene; ( d'uomo) ben messo ( fisicamente); ben piantato; ( di donna) prosperosa, popputa (pop.); well-informed, bene informato; al corrente; well-intentioned, ben intenzionato; (fatto) a fin di bene; well-judged, pieno di discernimento, assennato, saggio; ( sport) calcolato bene; calibrato; well-kept, ben tenuto; tenuto bene; well-knit, ( di persona) forte, robusto, ben piantato; ( di ragionamento, ecc.) coerente; ( di edificio, ecc.) solido; well-known, notorio, noto; rinomato; well-liked, popolare, amato; well-lined, ( dello stomaco) pieno; ( del portafogli) gonfio; well-made, ben fatto; di belle fattezze; well-managed, gestito bene; condotto bene; well-mannered, educato, cortese, beneducato; well-marked, chiaro, distinto, evidente; well-matched, bene assortito; bene accoppiato; ( sport: di un incontro) equilibrato; ( di due contendenti) di pari forza, dello stesso valore; well-meaning, ben intenzionato; well-meant, fatto (o detto) a fin di bene; (form.) well-nigh, quasi, pressoché; well-off, agiato, benestante, ricco; messo bene ( in fatto di attrezzature, servizi, ecc.); (fam.) fortunato; well-oiled, bene oliato; (fig.) complimentoso, untuoso; ( slang) sbronzo; well-ordered, bene ordinato; well-organised, ben organizzato; well-placed, ben piazzato; ‘Well played!’, ‘bella giocata!’; ‘bravo!’; well-prepared, ( di un atleta) preparato bene; ( di un piano di gioco, ecc.) studiato bene; well-preserved, conservato bene, in buono stato; ( di persona) che si conserva bene, benportante; well-proportioned, ben proporzionato; well-read, che ha letto molto, colto, istruito; well-regulated, bene ordinato, disciplinato; well-reputed, stimato, che gode di buona fama; well-rounded, (ben) finito; completo; ben tornito; (fig.) eclettico; well-seasoned, ( di legno, ecc.) ben stagionato; ( di cibo) ben condito; (fig.: di persona) di grande esperienza; well-set, compatto, saldo, solido; ( di persona) ben messo, ben piantato, robusto; well-set-up, ben fatto, ben piantato, robusto; agiato, facoltoso, ricco; well-spent, speso bene: a well-spent life, una vita spesa bene; well-spoken, facondo, eloquente, raffinato nel parlare; detto (o pronunciato) bene; che parla bene; (org. az.) well-staffed, ben fornito di personale; well-taken, tirato (o battuto) bene; bello; well-thought-of, che gode della considerazione generale; stimato (o benvoluto) da tutti; well-thought-out, ( di una decisione, di un passo) ponderato, ben meditato; ( di un progetto) pensato bene, ben progettato; ( di un libro) well-thumbed, pieno di ditate; (fig.) molto compulsato; well-timed, tempestivo, opportuno; well-to-do, agiato, benestante, ricco; well-tried, provato, sperimentato, sicuro: well-tried remedies, rimedi sicuri; well-trodden, assai frequentato; ( di frase, ecc.) well-turned, ben tornito; well-watered, ( di un giardino, ecc.) ben annaffiato; (agric.) ben irrigato; well-wisher, persona che vuol bene (o che è affezionata); fautore, sostenitore; well-wishing, benaugurante; well-worn, consunto, logoro, liso, frusto, sdrucito; (fig.) comune, trito, banale, vieto: a well-worn tale, una storiella trita.(to) well /wɛl/v. i.( di solito to well up, out, forth) scaturire; sgorgare; pullulare; zampillare: Bitter tears welled from her eyes ( o up in her eyes), amare lacrime le sono sgorgate dagli occhi; Suddenly water welled up, d'improvviso zampillò l'acqua.* * *I [wel]2) (in satisfactory state) benethat's all very well, but — è tutto molto bello, però
it's all very well for you to laugh, but — tu fai presto a ridere, ma
3) (prudent)it would be as well for you to... — faresti meglio a
4) (fortunate)it was just as well for him that... — gli è andata bene che...
II [wel]the flight was delayed, which was just as well — per fortuna il volo era in ritardo
1) (satisfactorily) [treat, behave, sleep etc.] beneto do oneself well — trattarsi bene, non farsi mancare nulla
to do well by sb. — mostrarsi gentile con qcn., comportarsi bene con qcn
I can well believe it — credo bene, ci credo
"shall I shut the door?" - "you might as well" — "chiudo la porta?" - "fai pure"
he looked shocked, as well he might — sembrava scioccato, e non c'è da stupirsi
3) (intensifier) bento speak well of sb. — parlare bene di qcn
5)to wish sb. well — augurare ogni bene a qcn
6)as well as — (in addition to) così come
••to be well in with sb. — colloq. stare bene con qcn.
to be well up in sth. — conoscere bene qcs.
to leave well alone — BE o
well enough alone — AE (not get involved) non metterci le mani
III [wel]you're well out of it! — colloq. per fortuna ne sei fuori!
interiezione (expressing astonishment) beh; (expressing indignation, disgust) insomma; (expressing disappointment) bene; (after pause in conversation, account) allorawell, you may be right — beh, forse hai ragione
well then, what's the problem? — allora, qual è il problema?
oh well, there's nothing I can do about it — beh, non posso farci niente
IV [wel]well, well, well, so you're off to America? — e così parti per l'America?
1) (in ground) pozzo m.2) (pool) sorgente f., fonte f.3) ing. (for stairs, lift) vano m.4) BE (in law court) = spazio riservato ai difensoriV [wel]- well up -
14 value
['vælju:] 1. noun1) (worth, importance or usefulness: His special knowledge was of great value during the war; She sets little value on wealth.) gildi; mikilvægi; gagnsemi2) (price: What is the value of that stamp?) verð3) (purchasing power: Are those coins of any value?) verðgildi4) (fairness of exchange (for one's money etc): You get good value for money at this supermarket!) rétt verð; góð kaup5) (the length of a musical note.) lengdargildi2. verb1) (to suggest a suitable price for: This painting has been valued at $50,000.) meta (að verðgildi)2) (to regard as good or important: He values your advice very highly.) virða, meta (mikils)•- valuable- valuables
- valued
- valueless
- values
- value-added tax -
15 sum
1) (the amount or total made by two or more things or numbers added together: The sum of 12, 24, 7 and 11 is 54.) suma2) (a quantity of money: It will cost an enormous sum to repair the swimming pool.) suma (de dinero)3) (a problem in arithmetic: My children are better at sums than I am.) problema de aritmética, cálculo, cuentas•- sum up
sum n1. cuenta / suma2. suma / cantidad de dinerotr[sʌm]2 (amount of money) suma (de dinero), cantidad nombre femenino (de dinero)3 (total amount) suma, total nombre masculino1 aritmética f sing, cálculos nombre masculino plural\SMALLIDIOMATIC EXPRESSION/SMALLin sum en suma, en resumento do one's sums hacer cuentasthe sum total suma, total nombre masculino1) : sumar (números)2) sum upsum n1) amount: suma f, cantidad f2) total: suma f, total f3) : suma f, adición f (en matemáticas)n.• suma (Matemática) s.f.• total s.m.v.• sumar v.sʌm1) ( calculation - in general) cuenta f; (- addition) suma f, adición f (frml)2) (total, aggregate) suma f, total m3) ( of money) suma f or cantidad f (de dinero)•Phrasal Verbs:- sum up[sʌm]N1) (=piece of arithmetic) suma f, adición f2) (=total) suma f, total m ; (=amount of money) suma f, importe m•
in sum — en suma, en resumen•
more/greater than the sum of its parts — más que la suma de las parteslumpthe sum total of my ambitions is... — la meta de mis ambiciones es..., lo único que ambiciono es...
- sum up* * *[sʌm]1) ( calculation - in general) cuenta f; (- addition) suma f, adición f (frml)2) (total, aggregate) suma f, total m3) ( of money) suma f or cantidad f (de dinero)•Phrasal Verbs:- sum up -
16 Language
Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)[A list of language games, not meant to be exhaustive:]Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling itSolving a problem in practical arithmeticTranslating from one language into anotherLANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)We dissect nature along the lines laid down by our native languages.The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own LanguageThe forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)[It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)23) Language Is Inevitably Influenced by Specific Contexts of Human InteractionLanguage cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)Historical dictionary of quotations in cognitive science > Language
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17 language
ˈlæŋɡwɪdʒ сущ. язык а) (как способ и средство общения) речь to butcher, murder a language ≈ искажать язык to enrich a language ≈ обогащать язык to learn, master a language ≈ учить язык to plan a language ≈ регулировать язык to purify a language ≈ очищать язык (проведение некоторых мер по выведению из языка тех или иных пластов лексики или грамматических форм) to speak (in) a, to use a language ≈ говорить на языке to standardize a language ≈ стандартизировать язык international, world language ≈ международный язык, язык международного общения dead, extinct language ≈ мертвый язык language acquisition ≈ обучение языку language maintenance ≈ поддержание (знания) языка spoken language ≈ разговорный язык written language ≈ письменный язык native language ≈ родной язык foreign language ≈ иностранный язык national language ≈ национальный язык official language ≈ официальный язык second language ≈ второй язык universal language ≈ универсальный язык formal language ≈ язык официального общения idiomatic language ≈ язык, богатый идиомами nontechnical language ≈ нетехнический язык substandard language ≈ язык, не соответствующий языковой норме technical language ≈ технический язык ancient language ≈ древний язык classical language ≈ классический язык creolized language ≈ креолизованный язык living language ≈ живой язык modern language ≈ современный язык natural language ≈ естественный язык trade language ≈ язык торгового общения agglutinative language ≈ агглютинативный язык inflecting language ≈ флективный язык isolating language ≈ изолирующий язык synthetic language ≈ синтетический язык tone language ≈ язык с тоновым ударением б) (как знаковая система) sign language ≈ язык знаков artificial language ≈ искусственный язык finger language ≈ язык жестов, язык глухонемых в) (языковой или литературный стиль;
язык писателя) the language of Shakespeare ≈ язык Шекспира bad, coarse, crude, dirty, foul, nasty, obscene, offensive, unprintable, vile, vulgar language ≈ грубый, грязный, неприличный, оскорбительный, непечатный, вульгарный язык rough, strong, vituperative language ≈ грубый, бранный язык everyday, plain, simple language ≈ простой, повседневный язык flowery language ≈ цветистый язык (богатый метафорами, сравнениями и др. литературными тропами) colloquial, informal language ≈ язык неофициального общения, разговорный язык literary, standard language ≈ литературный язык abusive language ≈ брань, ругательства children's language ≈ детский язык diplomatic language ≈ дипломатический язык polite language ≈ вежливый язык rich language ≈ богатый язык Syn: wording г) (как способ кодирования) object, target language ≈ язык, на который переводят source language ≈ язык, с которого переводят (в машинном переводе) computer language machine language programming language язык - the Russian * русский язык - finger * язык жестов, язык глухонемых - living * живой язык - working * рабочий язык (в международных организациях) - the working *s of this committee are English and Russian рабочими языками этого комитета являются русский и английский - * arts (американизм) обучение чтению, письму, литературе, словесность (школьный предмет) - * shift переключение на другой язык (о говорящем на иностранном языке) - * department отдел переводов (ООН) - a degree in *s диплом об окончании филологического факультета или института иностранных языков - science of * языкознание речь - spoken * разгговорный язык;
устная речь - written * письменость;
письменный язык - articulate * членораздельная речь - literary * литературный язык - substandard * просторечие - he has a great command of * он прекрасно владеет языком, у него прекрасная речь характер языка;
стиль, слог - fine * изысканный язык, цветистый стиль - strong * сильные выражения - bad * сквернословие - * of poetry язык поэзии - business * деловая речь;
язык деловой переписки - * of law юридический язык - diplomatic * дипломатический язык - the * of Shakespeare язык Шекспира (дипломатическое) формулировка( компьютерное) язык программирования ЭВМ > not to speak the same * совершенно не понимать друг друга > they don't speak the same * они говорят на разных языках algorithmic ~ вчт. алгоритмический язык algorithmical ~ вчт. алгоритмическый язык applicative ~ вчт. функциональный язык artifical ~ вчт. искусственный язык artificial ~ вчт. искусственный язык assembler ~ вчт. язык ассемблера assembly ~ вчт. язык ассемблера authoring ~ вчт. язык для автоматизации творческой работы block-structured ~ вчт. язык с блочной структурой boolean-based ~ вчт. язык булевых операторов command ~ вчт. командный язык compiled ~ вчт. транслируемый язык compiler ~ вчт. язык транслятора computer ~ вчт. машинный язык computer-dependent ~ вчт. машинно-зависимый язык computer-oriented ~ вчт. машинно-ориентированный язык computer-sensitive ~ вчт. машинно-зависимый язык constraint ~ вчт. декларативный язык context-free ~ вчт. контекстно-свободный язык conversational ~ вчт. диалоговый язык conversational ~ вчт. язык диалога data definition ~ вчт. язык определения данных data description ~ вчт. язык описания данных data description ~ вчт. язык определения данных data ~ вчт. язык описания данных data manipulation ~ вчт. язык манипулирования данными data-base ~ вчт. язык базы данных data-query ~ вчт. язык запросов declarative ~ вчт. декларативный язык design ~ вчт. язык проектирования end-user ~ вчт. язык конечного пользователя extensible ~ вчт. расширяемый язык ~ язык;
речь;
finger language язык жестов, язык глухонемых foreign ~ иностранный язык formal ~ формальный язык frame ~ вчт. фреймовый язык high-level ~ вчт. язык высокого уровня host ~ вчт. включающий язык human ~ естественный язык language разг. брань (тж. bad language) ;
I won't have any language here прошу не выражаться inflected ~ флективный язык information retrieval ~ информационно- поисковый язык information retrieval ~ информационно-поисковый язык input ~ вчт. входной язык interactive ~ вчт. диалоговый язык interpreted ~ вчт. интерпретируемый язык kernel ~ вчт. базовый язык knowledge representation ~ вчт. язык представления знаний language разг. брань (тж. bad language) ;
I won't have any language here прошу не выражаться ~ стиль;
язык писателя;
the language of Shakespeare язык Шекспира ~ язык ~ язык;
речь;
finger language язык жестов, язык глухонемых ~ стиль;
язык писателя;
the language of Shakespeare язык Шекспира ~ of the case язык судебного делопроизводства legal ~ юридический язык legal ~ язык права low-level ~ вчт. язык низкого уровня machine ~ вчт. машинный язык machine-dependent ~ вчт. машинно-зависимый язык machine-independent ~ вчт. машинно-независимый язык machine-oriented ~ вчт. машинно-ориентрированный язык macro ~ вчт. макроязык macroinstruction ~ вчт. язык макрокоманд memory management ~ вчт. язык управления памятью meta ~ вчт. метаязык minority ~ язык национального меньшинства mnemonic ~ вчт. символический язык national ~ государственный язык native ~ вчт. собственный язык машины natural ~ вчт. естественный язык nonprocedural ~ вчт. непроцедурный язык object ~ вчт. объектный язык official ~ официальный язык original ~ исходный язык parallel ~ вчт. язык параллельного программирования predicate ~ вчт. язык предикатов problem statement ~ вчт. язык постановки задачи problem-oriented ~ вчт. проблемно-ориентированный язык procedural ~ вчт. процедурный язык procedural ~ процедурный язык procedure-oriented ~ вчт. процедурно ориентированный язык production ~ вчт. продукционный язык program ~ вчт. язык программирования programming ~ вчт. язык программирования query ~ вчт. язык запросов register transfer ~ вчт. язык межрегистровых пересылок regular ~ вчт. регулярный язык relational ~ вчт. реляционный язык representation ~ вчт. язык представлений restricted ~ вчт. упрощенная версия языка rule ~ вчт. язык правил rule-based ~ вчт. язык продукционных правил rule-oriented ~ вчт. язык логического программирования script ~ вчт. язык сценариев serial ~ вчт. язык последовательного программирования source ~ вчт. исходный язык source ~ cmp. исходный язык specification ~ вчт. язык спецификаций subset ~ вчт. подмножество языка symbolic ~ вчт. символический язык symbolic ~ comp. символический язык system ~ вчт. системный язык tabular ~ вчт. табличный язык target ~ вчт. выходной язык target ~ выходной язык target ~ объектный язык threaded ~ вчт. язык транслируемый в шитый код typed ~ вчт. широко используемый язык typeless ~ вчт. безтиповый язык unchecked ~ вчт. язык без контроля типов untyped ~ вчт. язык без контроля типов update ~ вчт. язык корректирующих запросов user ~ вчт. язык пользователя world ~ международный языкБольшой англо-русский и русско-английский словарь > language
-
18 language
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absolute language
-
algorithmical language
-
algorithmic language
-
applicative language
-
artificial language
-
assembler language
-
block-structured language
-
Boolean algebra-based language
-
Boolean based language
-
command language
-
compilative language
-
compiler language
-
computer language
-
computer-dependent language
-
computer-independent language
-
computer-oriented language
-
computer-sensitive language
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context-free language
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control language
-
conversational language
-
core language
-
data language
- data manipulation language -
data-base language
-
data-definition language
-
data-query language
-
declarative language
-
deduction-oriented language
-
design language
-
explicit language
-
expression-oriented language
-
extensible language
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FG-kernel language
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finite state language
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formal specification language
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function language
-
functional language
-
graphics-oriented language
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graphics language
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hardware-based language
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high-level language
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host language
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human language
-
human-oriented language
-
hybrid language
-
imperative language
-
input language
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instruction language
-
interactive language
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interface language
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intermediate language
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interpretive language
-
job control language
-
kernel language
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knowledge representation language
-
list-processing language
-
low-level language
-
machine language
-
machine-dependent language
-
machine-independent language
-
machine-oriented language
-
macro language
-
meta language
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mnemonic language
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narrative language
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native language
-
native-mode language
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natural language
-
NC-AM language
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network control language
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nonprocedural language
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nucleus language
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object language
-
object-oriented language
-
original language
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parallel language
-
plain language
-
privacy language
-
problem solving language
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problem-oriented language
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procedural language
-
program development language
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program language
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programming language
-
pseudo language
-
query language
-
real-time language
-
reference language
-
regular language
-
relational language
-
retrieval language
-
robot language
-
rule language
-
semantic language
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sentential language
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simulation language
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source language
-
specification description language
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specification language
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stratified language
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structured language
-
symbolic language
-
system language
-
system-oriented language
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target language
-
typed language
-
unstratified language
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untyped language
-
user-oriented language
-
world-modeling language -
19 database
- archive database
- centralized database
- closed database
- computerized database
- cooperative database
- design database
- distributed database
- e-mail address database
- enterprise database
- extensional database
- factual database
- federated database
- fielded database
- flat-file database
- full-text database
- generalized database
- geometric database
- goal database
- graphic database
- graph-oriented database
- hierarchical database
- identity-based database
- image database
- integrated database
- intelligent database
- inverted database
- inverted list database
- knowledge database
- loaded database
- local database
- logical database
- meta-database - normalized database
- object-oriented database
- on-line database
- parallel database
- pattern database
- personal database
- physical database
- pictorial database
- populated database
- private database
- problem-oriented database
- pseudo-relational database
- public domain database
- quasi-relational database
- record-oriented database
- relational database
- security database
- semantic database
- shareable database
- structured database
- tree-structured database
- unified database
- user database -
20 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- actor language
- agent communication language
- a-hardware programming language - application-oriented language
- applicative language
- a-programming language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language - business-oriented programming language
- categorical language - configuration language
- constraint language
- combined programming language
- command language
- common language
- common business-oriented language
- compiled language
- compiler language
- computer language
- computer-dependent language - computer-oriented language
- computer-sensitive language
- concurrent language - context- sensitive language
- conversational language
- coordinate language
- database language
- database query language - data structure language
- digital system design language
- declarative language
- declarative markup language
- definitional language
- definitional constraint language
- design language
- device media control language - dynamically scoped language - elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible language - formalized language - functional language
- functional programming language - graph-oriented language - high-order language
- host language - hypersymbol language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language - interpreted language - Java programming language - lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language - meta language
- mnemonic language
- musical language - native-mode language
- natural language - nonprocedural language
- object language
- object-oriented language - physical language
- picture query language
- portable language
- portable standard language
- polymorphic language - print control language
- problem-oriented language
- problem statement language
- procedural language
- procedure-oriented language
- program language
- programming language
- publishing language
- query language
- question-answering language
- register-transfer language
- regular language
- relational language
- right-associative language
- robot language
- robot-level language
- robotic control language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language - sign language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification language - stratified language
- stream language
- string-handling language - strongly-typed language - symbolic language - thing language - tone language
- two-dimensional pictorial query language
- typed language
- typeless language
- unchecked language
- unformalized language
- universal language
- unstratified language
- untyped language
- user-oriented language
- very high-level language - well-structured programming language
- 1
- 2
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