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1 general conclusion
Большой англо-русский и русско-английский словарь > general conclusion
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2 general conclusion
1) Математика: общее умозаключение2) Политика: общий вывод -
3 general conclusion
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4 General conclusion
ОбобщениеDifficulties of the English language (lexical reference) English-Russian dictionary > General conclusion
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5 general conclusion
мат.общее умозаключение;pl общие выводы -
6 general conclusion
————————pl общие выводыАнгло-русский словарь по исследованиям и ноу-хау > general conclusion
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7 conclusion
1) вывод, (умо)заключение2) закрытие, завершение3) итог, результат• -
8 conclusion
n1) окончание, завершение2) заключение (соглашения, перемирия и т.п.)3) заключение, вывод•to arrive at a conclusion — приходить к заключению / выводу
to bring to a conclusion — завершать; доводить до конца
to come to a conclusion — приходить к заключению / выводу
to draw conclusions from smth — делать выводы из чего-л.
to jump to / at a conclusion — делать поспешный вывод
to make conclusions from smth — делать выводы из чего-л.
to reach a conclusion — приходить к заключению / выводу
- conclusion of a sessionto report the commission's conclusions to smb — сообщать / докладывать кому-л. о выводах комиссии
- general conclusion
- hasty conclusion
- scientifically substantiated conclusions
- theoretical conclusions
- unfounded conclusions -
9 general
A n1 Mil général m ; general of the army/air force US général d'armée/d'armée aérienne ; to make sb a general nommer qn général ; General Franco le général Franco ; yes, general à vos ordres, mon général ;2 the general and the particular le général et le particulier.B adj1 ( widespread) [interest, concern, approval, effort, feeling, opinion, chaos, ban, paralysis] général ; [reaction, response] répandu ; to be a general favourite être apprécié de tous ; in general use [word, term] d'usage courant ; [equipment] d'utilisation courante ;2 ( overall) [condition, appearance, standard, rise, fall, decline, impression] général ; [attitude, behaviour] dans l'ensemble ; to improve one's general fitness améliorer sa forme ; do you get the general idea? tu vois? that's the general idea en gros, c'est ça l'idée ; the general plan is to do en gros, le plan c'est de faire ;3 (rough, usually applying) [rule, principle, axiom, conclusion] général ; as a general rule en règle générale ;4 ( not detailed or specific) [description, statement, information] général ; [promise, assurance] vague ; to talk in general terms parler en termes généraux ; a general discussion about une discussion d'ensemble sur ; to keep the conversation general maintenir la conversation sur des sujets d'intérêt général ; to give sb a general idea of donner à qn une idée d'ensemble de ; to head in the general direction of aller en direction de ;5 ( not specialized) [medicine, linguistics] général ; [programme, magazine] d'intérêt général ; [user, reader] moyen/-enne ; [store, shop, dealer] qui vend de tout ; general office duties travail m de bureau ; general assistant employé/-e m/f de bureau ;6 ( miscellaneous) [category, index, enquiry, expenses] général ; we sell general antiques nous vendons toutes sortes d'antiquités ;7 (usual, normal) [practice, method, routine] général ; in the general way of things en règle générale ; the general run of people le grand public.1 ( usually or non-specifically) en général ; in general I like the theatre, but… en général j'aime le théâtre, mais… ; adults in general and parents in particular les adultes en général et les parents en particulier ; he is fed up with life in general il en a assez de la vie en général ;2 (overall, mostly) dans l'ensemble ; in general it seems quite simple dans l'ensemble cela paraît assez simple. -
10 foregone conclusion
"Отелло", см. Shakespeare's words and phrasesупотребляется, когда речь идет о заранее ясном результате, предрешенном деле, о чем-то не вызывающем сомненийThe English annotation is below. (English-Russian) > foregone conclusion
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11 обобщать
несовер. - обобщать;
совер. - обобщить( что-л.) generalize, summarize;
synthesizeобобщ|ать -, обобщить (вн.)
1. (объединять) unite( smth.), make* (smth.) into a whole;
2. (вскрывать общее в отдельных явлениях и т. п.) draw* a general conclusion( from), generalize (from) ;
~ение с. generalization;
смелые ~ения bold generalizations;
~ённый generalized;
(не затрагивающий деталей) summarized, general.Большой англо-русский и русско-английский словарь > обобщать
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12 generalization
•• generalize, generalization
•• Generalize to give a general rather than a specific character to (The Random House Dictionary).
•• Это «псевдоэквивалент» русских слов обобщать, обобщение. В отличие от них, практически всегда имеющих положительный оттенок, generalize – слово нередко отрицательное, означающее что-то вроде экстраполировать или спешить с выводами. Для западных журналистов это почти ругательное слово, и когда один из них пишет о своих русских коллегах they often generalize, то это отнюдь не похвала. Кстати, обобщение лучше всего переводить (general) conclusion.
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13 generalize
•• generalize, generalization
•• Generalize to give a general rather than a specific character to (The Random House Dictionary).
•• Это «псевдоэквивалент» русских слов обобщать, обобщение. В отличие от них, практически всегда имеющих положительный оттенок, generalize – слово нередко отрицательное, означающее что-то вроде экстраполировать или спешить с выводами. Для западных журналистов это почти ругательное слово, и когда один из них пишет о своих русских коллегах they often generalize, то это отнюдь не похвала. Кстати, обобщение лучше всего переводить (general) conclusion.
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14 обобщение
ср.
1) summarizing;
synthesizing
2) generalization, general conclusion широкое обобщениеgeneralizationБольшой англо-русский и русско-английский словарь > обобщение
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15 общее умозаключение
Большой англо-русский и русско-английский словарь > общее умозаключение
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16 общие выводы
Большой англо-русский и русско-английский словарь > общие выводы
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17 treaty
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18 election
n1) выборы2) избрание•to accept an election — соглашаться с избранием; принимать избрание
to be well placed to win the next general election — занимать хорошие позиции для того, чтобы победить на следующих всеобщих выборах
to bode ill for next year's election — служить плохим предзнаменованием для выборов, которые состоятся на будущий год
to bring the election forward — приближать дату проведения выборов; проводить выборы досрочно
to call an election — назначать / объявлять выборы
to call off / to cancel election — отменять выборы
to carry out one's election pledges — выполнять предвыборные обещания
to congratulate smb on his / her election — поздравлять кого-л. с избранием
to defend the strongly contested results of the election — защищать активно оспариваемые результаты выборов
to disqualify smb from taking part in the general election — лишать кого-л. права участвовать во всеобщих выборах
to give a guarded welcome to smb's election — сдержанно приветствовать чье-л. избрание
to go ahead with the election — принимать решение о проведении выборов (несмотря на что-л.)
to hold election under one's own terms — проводить выборы на своих условиях
to lead the government into the next general election — руководить правительством до следующих всеобщих выборов
to lose an election by a margin of the five seats — проигрывать выборы, получив на пять мест меньше соперника
to nominate smb for election — выдвигать чью-л. кандидатуру
to schedule election for January — намечать / планировать выборы на январь
to seek a second term in the presidential election — добиваться переизбрания на второй срок на президентских выборах
to stand against a party in election — выступать против какой-л. партии на выборах
to stand for election — баллотироваться на выборах, выставлять свою кандидатуру
- aftermath of an electionto trail far behind in the election — намного отставать от кого-л. на выборах
- alleged irregularities during the election
- all-out election
- all-race election
- annulment of the election
- apartheid election
- assessment of the election outcome
- bitterly contested election
- bread-and-butter election
- call for free election
- cancellation of the election
- cantonal election
- close election
- comfortable election
- coming election
- competitive election
- conclusion of the election
- Congressional election
- consequences of the election
- contested election
- contribution to the election
- controversial election
- council election
- counting continued in local government election
- crucial election
- defeat at an election
- deferment of election
- democratic election
- direct election for the presidency
- disputed election
- disruption of election
- early election
- election by proportional representation
- election comes amid increasing tension
- election goes into a second round
- election has continued into its second unscheduled day
- election has entered its final stages
- election held several months ahead of schedule
- election is far from straightforward
- election on a factory and enterprise basis
- election on a population basis
- election saw violence
- election seems to be in the bag for smb
- election was a farce
- election was a neck and neck race
- election was conducted peacefully
- election was successful
- election will be about deciding...
- election will go ahead as scheduled
- election will result in a victory for...
- elections are a day away
- elections are being held throughout the country
- elections are due
- elections to an assembly
- Euro-election
- fair election
- federal election
- fiercely fought election
- forthcoming election
- free election
- full election
- general election
- genuine election
- gubernatorial election
- hell-bent for election
- his election is already assured
- honest election
- if the next election goes against them
- illegitimate election
- impending election
- inconclusive election
- issue in the election
- leadership election
- legislative election
- local council election
- local election
- local government election
- low turnout for the election
- mayoral election
- midterm election
- mock election
- multiracial election
- national election
- national legislative election
- new-style election
- nonracial election
- nullification of the election
- off-year election
- open election
- orderly conduct of an election
- outcome of the election
- outright winner in an election
- parliamentary election
- party eligible to stand in the election
- party's poor showing in the election
- popular election
- presidential election
- pre-term election
- prompt election
- provincial election
- racially segregated election
- rehearsal for a general election
- re-run of election
- rigged election
- rigged-up election
- rigging of election
- right to vote in the election
- run-off election
- run-up to the election
- semi-free election
- sham election
- smb is well on course to win the general election
- special election
- staged election
- statute of election
- stealing of election
- strong showing in an election
- tainted election
- that could lose them the election
- the first round of election has ended inconclusively
- the scene is set for presidential election
- there is no clear outcome of the election
- this side of the general election
- tough election
- two-stage election
- unofficial results in the election
- upcoming election
- valid election
- war-torn election
- watershed election
- winning the election was the easy bit
- with the election looking in the country
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19 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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20 successful
- 'ses-adjective ((negative unsuccessful) having success: Were you successful in finding a new house?; The successful applicant for this job will be required to start work next month; a successful career.) afortunado; exitoso; fructuososuccessful adj de éxitotr[sək'sesfʊl]1 (person, career, film) de éxito; (plan, performance, attempt) acertado,-a, logrado,-a; (business) próspero,-a; (marriage) feliz; (meeting) satisfactorio,-a, positivo,-a\SMALLIDIOMATIC EXPRESSION/SMALLto be successful in doing something conseguir hacer algoto be successful in life triunfar en la vidasuccessful [sək'sɛsfəl] adj: exitoso, logrado♦ successfully advadj.• acertado, -a adj.• afortunado, -a adj.• bienaventurado, -a adj.• dichoso, -a adj.• exitoso, -a adj.• feliz adj.• lucido, -a adj.• próspero, -a adj.sək'sesfəlhe was successful at last — finalmente lo logró or lo consiguió
to be successful IN -ING: they were successful in persuading their colleagues — lograron convencer a sus colegas
[sǝk'sesfʊl]ADJ1)to be successful —
a) [campaign, scheme, attempt, book] tener éxito; [plan, strategy, experiment] salir bienthe company has been very successful over the past five years — a la empresa le ha ido muy bien en los últimos cinco años
the film was very successful at the box office — la película fue muy taquillera or fue todo un éxito de taquilla
the film is successful at capturing the atmosphere of the time — la película consigue or logra captar el ambiente de la época
b) [person] (=do well) tener éxito; (=reach the top) triunfarthe secret of being successful with men — el secreto para tener éxito or triunfar con los hombres
we have been successful at achieving our objectives — hemos conseguido or logrado alcanzar nuestros objetivos
we have not been very successful at or in attracting new contracts — no hemos tenido mucho éxito a la hora de atraer nuevos contratos
a) (=winning) [product, film, novelist] de éxitoone of the most successful movies of all time — una de las películas de más éxito de todos los tiempos
b) (=prosperous) [company, businessperson] prósperoc) (=effective) [treatment, remedy] eficaza generally successful attempt to adapt this novel — una adaptación, en general lograda, de esta novela
d) (=satisfactory) [conclusion] satisfactorio; [deal] favorableit was a successful end to an excellent campaign — fue un final satisfactorio para una campaña excelente
there is little hope of a successful outcome to the meeting — hay pocas esperanzas de que la reunión dé resultados satisfactorios
e) [applicant]* * *[sək'sesfəl]he was successful at last — finalmente lo logró or lo consiguió
to be successful IN -ING: they were successful in persuading their colleagues — lograron convencer a sus colegas
См. также в других словарях:
conclusion — CONCLUSION. s. fém. Fin d une affaire, d un discours. La conclusion d un traité, d une affaire. Il faut venir à la conclusion. La conclusion fut que... f♛/b] On dit familièrement, qu Un homme est ennemi de la conclusion, pour dire, qu Il est… … Dictionnaire de l'Académie Française 1798
conclusion — [ kɔ̃klyzjɔ̃ ] n. f. • 1265; lat. conclusio, de concludere → conclure 1 ♦ Arrangement final (d une affaire). ⇒ règlement, solution, terminaison. Conclusion d un traité, d un mariage. 2 ♦ Log. Proposition dont la vérité résulte de la vérité d… … Encyclopédie Universelle
conclusion — con·clu·sion /kən klü zhən/ n 1: a judgment or opinion inferred from relevant facts our conclusion upon the present evidence Missouri v. Illinois, 200 U.S. 496 (1905) 2 a: a final summarizing (as of a closing argument) b: the last or closing part … Law dictionary
General maximum — or The Law of the Maximum was a law created during the course of the French Revolution as an extension of the Law of Suspects on 29 September 1793. It succeeded the 4 May 1793 loi du maximum which had the same purpose: setting price limits,… … Wikipedia
General Councils — General Councils † Catholic Encyclopedia ► General Councils This subject will be treated under the following heads: ♦ Definition ♦ Classification ♦ Historical Sketch ♦ The Pope and General Councils ♦ Composition of … Catholic encyclopedia
General — Gen er*al, a. [F. g[ e]n[ e]ral, fr. L. generalis. See {Genus}.] 1. Relating to a genus or kind; pertaining to a whole class or order; as, a general law of animal or vegetable economy. [1913 Webster] 2. Comprehending many species or individuals;… … The Collaborative International Dictionary of English
General agent — General Gen er*al, a. [F. g[ e]n[ e]ral, fr. L. generalis. See {Genus}.] 1. Relating to a genus or kind; pertaining to a whole class or order; as, a general law of animal or vegetable economy. [1913 Webster] 2. Comprehending many species or… … The Collaborative International Dictionary of English
General assembly — General Gen er*al, a. [F. g[ e]n[ e]ral, fr. L. generalis. See {Genus}.] 1. Relating to a genus or kind; pertaining to a whole class or order; as, a general law of animal or vegetable economy. [1913 Webster] 2. Comprehending many species or… … The Collaborative International Dictionary of English
General average — General Gen er*al, a. [F. g[ e]n[ e]ral, fr. L. generalis. See {Genus}.] 1. Relating to a genus or kind; pertaining to a whole class or order; as, a general law of animal or vegetable economy. [1913 Webster] 2. Comprehending many species or… … The Collaborative International Dictionary of English
General Court — General Gen er*al, a. [F. g[ e]n[ e]ral, fr. L. generalis. See {Genus}.] 1. Relating to a genus or kind; pertaining to a whole class or order; as, a general law of animal or vegetable economy. [1913 Webster] 2. Comprehending many species or… … The Collaborative International Dictionary of English
General court-martial — General Gen er*al, a. [F. g[ e]n[ e]ral, fr. L. generalis. See {Genus}.] 1. Relating to a genus or kind; pertaining to a whole class or order; as, a general law of animal or vegetable economy. [1913 Webster] 2. Comprehending many species or… … The Collaborative International Dictionary of English