-
1 DMP
1) Компьютерная техника: Declarative Meta Programming, Dot Matrix Printer2) Авиация: Display Management Processor3) Американизм: Data Management Plan4) Латинский язык: Deontic Modus Ponens5) Военный термин: Defense Manpower Policy, Director of Manpower Planning, Director of Military Personnel, disarmed military personnel6) Техника: Digital Music Products, dedicated microprocessor, dimethyl phthalate, dip moveout processing, display maintenance program, display masking parameters7) Бухгалтерия: Debt Management Plan8) Грубое выражение: Dirty Mo Posse9) Оптика: digital map processor, digital micromirror device10) Сокращение: Daily Maintenance Pack, Digital Media Player11) Вычислительная техника: desktop multimedia publishing, dynamic memory pool, динамический пул памяти12) Стоматология: dentine matrix protein13) Транспорт: Driver's Master Panel14) Фирменный знак: Dark Music Productions, Dutch Music Partners15) Сейсмология: эллиптическая развёртка отражений (dip moveout processing)16) Сетевые технологии: Dynamic Multipathing17) Полимеры: dimethyl phenol, dimethylol phenol18) Автоматика: document material processed19) Телефония: Device Management Protocol20) Расширение файла: Dump File21) Энергосистемы: Demand Management Program, ПУС22) Фантастика Demon Making Plant, Demon Manufacturing Plant -
2 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 -
3 language
1) языка) естественный язык, средство человеческого общенияб) система знаков, жестов или сигналов для передачи или хранения информациив) стильг) речь2) языкознание, лингвистика•- a programming language
- abstract machine language
- actor language
- agent communication language
- algebraic logic functional language
- algorithmic language
- amorhic language
- application-oriented language
- applicative language
- artificial language
- assembler language
- assembly language
- assignment language
- author language
- authoring language
- axiomatic architecture description language
- basic combined programming language
- block-structured language
- boundary scan description language
- business-oriented language
- business-oriented programming language
- categorical abstract machine language
- categorical language
- cellular language
- combined programming language
- command language
- common business-oriented language
- common language
- compiled language
- compiler language
- computer hardware description language
- computer language
- computer-dependent language
- computer-independent language
- computer-oriented language
- computer-sensitive language
- concurrent language
- configuration language
- constraint language
- context-free language
- context-sensitive language
- conversational language
- coordinate language
- data definition language
- data description language
- data manipulation language
- data structure language
- database language
- database query language
- declarative language
- declarative markup language
- definitional constraint language
- definitional language
- design language
- device media control language
- digital system design language
- document style semantics and specification language
- domain-specific language
- dynamic hypertext markup language
- dynamic simulation language
- dynamically scoped language
- elementary formalized language
- embedding language
- event-driven language
- expression language
- extensible hypertext markup language
- extensible language
- extensible markup language
- fabricated language
- fifth-generation language
- first-generation language
- formal language
- formalized language
- fourth-generation language
- frame language
- function graph language
- functional language
- functional programming language
- geometrical layout description language
- graphics language
- graph-oriented language
- hardware description language
- Hewlett-Packard graphics language
- Hewlett-Packard printer control language
- high-level language
- high-order language
- host language
- hypersymbol language
- hypertext markup language plus
- hypertext markup language
- imperative language
- in-line language
- input language
- intelligent language
- interactive language
- interactive set language
- intermediate language
- interpreted language
- Java interface definition language
- Java language
- Java programming language
- job control language
- Jules' own version of the international algorithmic language
- knowledge query and manipulation language
- left-associative language
- lexically scoped language
- list-processing language
- low-level language
- machine language
- machine-independent language
- machine-oriented language
- macro language
- manipulator language
- man-machine language
- mathematical markup language
- matrix-based programming language
- meta language
- mnemonic language
- musical language
- my favorite toy language
- native language
- native-mode language
- natural language
- network control language
- network description language
- noninteractive language
- nonprocedural language
- object language
- object-oriented language
- page description language
- parallel object-oriented language
- partial differential equation language
- pattern-matching language
- physical language
- picture query language
- polymorphic language
- portable language
- portable standard language
- practical extraction and report language
- prescriptive language
- print control language
- problem statement language
- problem-oriented 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
- robotic control language
- robot-level language
- rule language
- rule-oriented language
- scientific programming language
- script language
- scripting language
- second-generation language
- sense language
- server-parsed hypertext markup language
- set language
- sign language
- simulation language
- single-assignment language
- software command language
- source language
- special-purpose programming language
- specification and assertion language
- specification language
- stack-based language
- standard generalized markup language
- statically scoped language
- stratified language
- stream language
- string-handling language
- string-oriented symbolic language
- string-processing language
- strongly-typed language
- structural design language
- structured query language
- subset language
- symbolic language
- symbolic layout description language
- synchronized multimedia integration language
- target language
- thing language
- third-generation language
- threaded 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
- very-high-speed integrated circuit hardware description language
- Vienna definition language
- virtual reality modeling language
- visual language
- well-structured programming language
- wireless markup languageThe New English-Russian Dictionary of Radio-electronics > language
-
4 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
-
5 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
-
6 language
-
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
-
context-free language
-
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
-
FG-kernel language
-
finite state language
-
formal specification language
-
function language
-
functional language
-
graphics-oriented language
-
graphics language
-
hardware-based language
-
high-level language
-
host language
-
human language
-
human-oriented language
-
hybrid language
-
imperative language
-
input language
-
instruction language
-
interactive language
-
interface language
-
intermediate language
-
interpretive language
-
job control language
-
kernel language
-
knowledge representation language
-
list-processing language
-
low-level language
-
machine language
-
machine-dependent language
-
machine-independent language
-
machine-oriented language
-
macro language
-
meta language
-
mnemonic language
-
narrative language
-
native language
-
native-mode language
-
natural language
-
NC-AM language
-
network control language
-
nonprocedural language
-
nucleus language
-
object language
-
object-oriented language
-
original language
-
parallel language
-
plain language
-
privacy language
-
problem solving language
-
problem-oriented language
-
procedural language
-
program development language
-
program language
-
programming language
-
pseudo language
-
query language
-
real-time language
-
reference language
-
regular language
-
relational language
-
retrieval language
-
robot language
-
rule language
-
semantic language
-
sentential language
-
simulation language
-
source language
-
specification description language
-
specification language
-
stratified language
-
structured language
-
symbolic language
-
system language
-
system-oriented language
-
target language
-
typed language
-
unstratified language
-
untyped language
-
user-oriented language
-
world-modeling language -
7 language
[ˈlæŋɡwɪdʒ]algorithmic language вчт. алгоритмический язык algorithmical language вчт. алгоритмическый язык applicative language вчт. функциональный язык artifical language вчт. искусственный язык artificial language вчт. искусственный язык assembler language вчт. язык ассемблера assembly language вчт. язык ассемблера authoring language вчт. язык для автоматизации творческой работы block-structured language вчт. язык с блочной структурой boolean-based language вчт. язык булевых операторов command language вчт. командный язык compiled language вчт. транслируемый язык compiler language вчт. язык транслятора computer language вчт. машинный язык computer-dependent language вчт. машинно-зависимый язык computer-oriented language вчт. машинно-ориентированный язык computer-sensitive language вчт. машинно-зависимый язык constraint language вчт. декларативный язык context-free language вчт. контекстно-свободный язык conversational language вчт. диалоговый язык conversational language вчт. язык диалога data definition language вчт. язык определения данных data description language вчт. язык описания данных data description language вчт. язык определения данных data language вчт. язык описания данных data manipulation language вчт. язык манипулирования данными data-base language вчт. язык базы данных data-query language вчт. язык запросов declarative language вчт. декларативный язык design language вчт. язык проектирования end-user language вчт. язык конечного пользователя extensible language вчт. расширяемый язык language язык; речь; finger language язык жестов, язык глухонемых foreign language иностранный язык formal language формальный язык frame language вчт. фреймовый язык high-level language вчт. язык высокого уровня host language вчт. включающий язык human language естественный язык language разг. брань (тж. bad language); I won't have any language here прошу не выражаться inflected language флективный язык information retrieval language информационно- поисковый язык information retrieval language информационно-поисковый язык input language вчт. входной язык interactive language вчт. диалоговый язык interpreted language вчт. интерпретируемый язык kernel language вчт. базовый язык knowledge representation language вчт. язык представления знаний language разг. брань (тж. bad language); I won't have any language here прошу не выражаться language стиль; язык писателя; the language of Shakespeare язык Шекспира language язык language язык; речь; finger language язык жестов, язык глухонемых language стиль; язык писателя; the language of Shakespeare язык Шекспира language of the case язык судебного делопроизводства legal language юридический язык legal language язык права low-level language вчт. язык низкого уровня machine language вчт. машинный язык machine-dependent language вчт. машинно-зависимый язык machine-independent language вчт. машинно-независимый язык machine-oriented language вчт. машинно-ориентрированный язык macro language вчт. макроязык macroinstruction language вчт. язык макрокоманд memory management language вчт. язык управления памятью meta language вчт. метаязык minority language язык национального меньшинства mnemonic language вчт. символический язык national language государственный язык native language вчт. собственный язык машины natural language вчт. естественный язык nonprocedural language вчт. непроцедурный язык object language вчт. объектный язык official language официальный язык original language исходный язык parallel language вчт. язык параллельного программирования predicate language вчт. язык предикатов problem statement language вчт. язык постановки задачи problem-oriented language вчт. проблемно-ориентированный язык procedural language вчт. процедурный язык procedural language процедурный язык procedure-oriented language вчт. процедурно ориентированный язык production language вчт. продукционный язык program language вчт. язык программирования programming language вчт. язык программирования query language вчт. язык запросов register transfer language вчт. язык межрегистровых пересылок regular language вчт. регулярный язык relational language вчт. реляционный язык representation language вчт. язык представлений restricted language вчт. упрощенная версия языка rule language вчт. язык правил rule-based language вчт. язык продукционных правил rule-oriented language вчт. язык логического программирования script language вчт. язык сценариев serial language вчт. язык последовательного программирования source language вчт. исходный язык source language cmp. исходный язык specification language вчт. язык спецификаций subset language вчт. подмножество языка symbolic language вчт. символический язык symbolic language comp. символический язык system language вчт. системный язык tabular language вчт. табличный язык target language вчт. выходной язык target language выходной язык target language объектный язык threaded language вчт. язык транслируемый в шитый код typed language вчт. широко используемый язык typeless language вчт. безтиповый язык unchecked language вчт. язык без контроля типов untyped language вчт. язык без контроля типов update language вчт. язык корректирующих запросов user language вчт. язык пользователя world language международный язык
См. также в других словарях:
Meta-Process Modeling — is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable and useful some predefined problems. Meta process support the effort of creating flexible process models. The… … Wikipedia
Meta-process modeling — Abstraction level for processes.[1] Meta process modeling is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable and useful to some predefined problems. Meta process… … Wikipedia
Template Oriented Programming — In computer programming, Template oriented programming (TOP) is a programming paradigm that focuses on templates to accomplish a programmer’s goals. Template oriented programming is a more general version of generic programming in which the… … Wikipedia
Escher (programming language) — Escher is a declarative programming language that supports both functional programming and logic programming models, developed by J.W. Lloyd in the mid 1990s. It was designed mostly as a research and teaching vehicle. The basic view of… … Wikipedia
Reflection (computer programming) — Programming paradigms Agent oriented Automata based Component based Flow based Pipelined Concatenative Concurrent computi … Wikipedia
Object-oriented programming — Programming paradigms Agent oriented Automata based Component based Flow based Pipelined Concatenative Concurrent computing … Wikipedia
Gödel (programming language) — Gödel is a declarative, general purpose programming language that adheres to the logic programming paradigm. It is a strongly typed language, the type system being based on many sorted logic with parametric polymorphism. It is named after… … Wikipedia
Racket (programming language) — Racket Paradigm(s) Multi paradigm: Functional, Procedural, Modular, Object oriented, Reflective, Meta Appeared in 1994 Developer … Wikipedia
DMP — Dump File (Computing » File Extensions) * Debt Management Plan (Business » Accounting) * Dot Matrix Printer (Computing » General) * Dynamic Multipathing (Computing » Networking) * Digital Music Products (Business » Products) * Data Management… … Abbreviations dictionary
Metaprogramming — This article is about the computer programming technique. For the management technique, see Metaprogramming (management). Programming paradigms Agent oriented Automata based Component based … Wikipedia
Object-relational impedance mismatch — The object relational impedance mismatch is a set of conceptual and technical difficulties that are often encountered when a relational database management system (RDBMS) is being used by a program written in an object oriented programming… … Wikipedia