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1 all-or-none data
Большой англо-русский и русско-английский словарь > all-or-none data
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2 all or none data
1) <math.> данные типа "да или нет"
2) дихотомия -
3 all-or-none data
1) Математика: данные типа да или нет, данные типа дихотомии, дихотомия2) Статистика: данные типа "да или нет" -
4 all-or-none data
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5 all-or-none data
стат. данные типа "да - нет", дихотомияThe English-Russian dictionary on reliability and quality control > all-or-none data
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6 none
1) никто
2) ничто
3) ни один
4) нисколько
5) совсем не
6) никакой
– all or none data
– none at all
– none the less -
7 data
1) величины
2) данные
– accumulate data
– all or none data
– analog data
– application-specific data
– ascertain data
– body of data
– cite data
– code data
– control data
– CRT displays data
– cumulative data
– data array
– data bank
– data bus
– data call
– data channel
– data communication
– data concentrator
– data control
– data conversion
– data converter
– data descriptor
– data display
– data element
– data file
– data format
– data gathering
– data handling
– data input
– data line
– data link
– data modem
– data network
– data output
– data packing
– data panel
– data path
– data placard
– data point
– data potentiometer
– data processing
– data processor
– data rate
– data recorder
– data reducer
– data reduction
– data repeater
– data reproduction
– data set
– data set allocation
– data smoothing
– data storage
– data structure
– data switching
– data teleprocessing
– data transfer
– data unit
– data updating
– data windowing
– display data
– exchange data
– experimental data
– flight data
– generate data
– initial data
– input data
– insert data
– key in data
– load data
– move data
– output data
– performance data
– present data
– process data
– ranked data
– raw data rate
– receive data
– reduction of data
– reference data
– reproduce data
– retrieve data
– sampled data
– sequence of data
– set data into
– set data manually
– store data
– update data
– withdraw data
abstract data type — <math.> объект информационный абстрактный
areal data density — информационная поверхностная плотность записи
automatic data processing — автоматизация информационных работ, <comput.> обработка данных автоматическая
data storage unit — <comput.> блок хранения данных
lineary data density — информационная продольная плотность записи
randomly fluctuating data — нерегулярно изменяющиеся, флуктуирующие данные
serial synchronous data — последовательно передаваемые данные, данные последовательно передаваемые совместно с тактовыми сигналами
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8 данные типа дихотомии
Большой англо-русский и русско-английский словарь > данные типа дихотомии
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9 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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10 interesado
Del verbo interesar: ( conjugate interesar) \ \
interesado es: \ \el participioMultiple Entries: interesado interesar
interesado
◊ -da adjetivointeresado en algo interested in sth ■ sustantivo masculino, femenino◊ los interesados deberán … all those interested o (frml) all interested parties should …b) ( que busca su provecho):◊ es un interesado he always acts in his own interest o out of self-interest
interesar ( conjugate interesar) verbo intransitivo esto a ti no te interesa this doesn't concern you, this is no concern of yoursb) ( convenir):◊ interesadoía comprobar los datos it would be useful/advisable to check the data;me interesa este tipo de préstamo this sort of loan would suit me verbo transitivo interesado a algn en algo to interest sb in sth, get sb interested in sth interesarse verbo pronominal interesadose en or por algo to take an interest in sth
interesado,-a
I adjetivo
1 (que tiene interés por algo) interested [en, in]: ella es una de las más interesadas, she's one of the people who is most interested
2 (egoísta) selfish
II sustantivo masculino y femenino interested person
los interesados, those interested o concerned
interesar
I verbo transitivo
1 (inspirar interés) to interest: el fútbol no le interesa en absoluto, football doesn't interest him at all
atiende, creo que esto te interesa, pay attention, I think you should listen to this
2 (incumbir) to concern: eso no te interesa, it's none of your business
II vi (ser motivo de interés) to be of interest, to be important: interesa que nos reunamos cuanto antes, it is important that we meet as soon as possible ' interesado' also found in these entries: Spanish: interesada - curioso - indiferente - propio - tramitar English: cupboard love - interested - medicine -
11 ♦ business
♦ business /ˈbɪznəs/n.1 [u] affare, affari; attività commerciale; commercio: Business is booming, gli affari vanno a gonfie vele; to do business with sb., fare affari con q.; We're doing less business than last year, la nostra attività è diminuita rispetto all'anno scorso; to go into business, darsi agli affari; mettersi in affari; to go out of business, cessare l'attività; ritirarsi dall'attività; fallire; to get down to business, mettersi al lavoro; mettersi sotto; to start a business, avviare (o aprire) un'attività; to transact business, trattare affari; He is no longer in business, non è più in affari; business activity, attività commerciale; business trip, viaggio d'affari; business associate, collega d'affari; socio; the business community, il mondo degli affari; business executive, dirigente d'impresa (di alto livello); business letter, lettera commerciale; lettera d'affari; business model, modello imprenditoriale2 [u] attività; lavoro; occupazione; ramo (d'affari): a profitable business, un'attività che rende bene; What business are you in?, che attività svolgi?; to be back in business, avere ripreso l'attività; ( di negoziante) avere riaperto; I'm here on business, sono qui per affari; the insurance business, il ramo delle assicurazioni; le assicurazioni; He's in the oil business, lavora nel ramo petrolifero; si occupa di petrolio; core business, attività tipica o principale ( di un'azienda)3 azienda; compagnia; impresa; ditta: He's running a small business, ha una piccola attività; dirige una piccola azienda; They have sold their business, hanno venduto la ditta; a family business, un'impresa familiare; a delivery business, una ditta di consegne a domicilio4 [u] compito; dovere; cosa che spetta, che tocca: It's my business to make sure things are running smoothly, è compito mio assicurarmi che tutto funzioni; You had no business changing the date, non avevi nessun diritto di (o non toccava a te) cambiare la data5 (solo sing.) faccenda; affare; cosa; storia: a strange business, una strana faccenda; a risky business, una cosa rischiosa; I'm fed up with the whole business, sono stufo di tutta la faccenda; What a business!, che roba!; che storia!; to go about one's business, occuparsi delle proprie faccende; to have unfinished business ( with sb.), avere una questione in sospeso (con q.); That's none of your business ( o That's no business of yours), non è affar tuo; la faccenda non ti riguarda; DIALOGO → - Discussing an election- Mind your own business!, fatti gli affari tuoi!; bada agli affari (o ai fatti) tuoi!6 [u] cosa da fare; cosa all'ordine del giorno: What is your business with him?, che hai a fare con lui?; the business of the meeting, l'ordine del giorno della riunione; to make it one's business to do st., preoccuparsi di fare qc.7 [u] (teatr.) azione mimica9 (come pred.) – ( slang GB) the business, una cosa fantastica; una roba straordinaria; ( anche) autentico, genuino: This bike's the business!, questa moto è fantastica!● business address, indirizzo d'ufficio; recapito □ business administration, gestione aziendale □ business agent, agente (o procacciatore) d'affari □ business angel ► angel, def. 3 □ (econ.) business barometer, barometro economico □ business card, biglietto da visita ( professionale) □ (aeron.) business class, business class □ (econ.) business climate, situazione congiunturale □ business college, scuola aziendale □ (econ.) business combine, concentrazione di aziende □ business consultant, commercialista; consulente d'impresa □ (econ.) business cycle, ciclo economico □ business day, giorno lavorativo □ business economics, economia aziendale □ business economist, aziendalista □ (fam.) business end, estremità funzionante ( di un oggetto); punta; apertura; bocca: the business end of a knife, la punta di un coltello; Where's the business end of this thing?, da che parte si usa questo affare? □ business ethics, comportamento professionale; deontologia □ business game, gestione simulata ( di aziende, affari, ecc.) □ business hours, orario d'ufficio; orario di esercizio; orario di apertura □ business law, diritto commerciale □ business leader, capitano d'industria □ business lunch, pranzo (o colazione) d'affari □ business management, gestione aziendale; amministrazione degli affari □ business manager, dirigente aziendale □ business mathematics, computisteria □ business name, nome dell'azienda; ragione sociale □ (econ.) business outlook, congiuntura □ business park, zona commerciale ( di una città) □ business person, uomo o donna d'affari □ business premises, locali ( di un'azienda) □ business recovery, ripresa dell'attività commerciale □ ( USA) business reply mail, servizio di risposta affrancata □ business school, scuola aziendale □ (comput.) business software, software per le aziende □ (comm.) business strategy, strategia aziendale □ business studies, (studi di) amministrazione aziendale □ ( USA) business suit, (abito) completo □ business survey, indagine congiunturale □ (org. az.) business-to-business (abbr. B2B, b2b), (relativo a) transazioni commerciali elettroniche di beni e servizi tra aziende □ (org. az.) business-to-consumer (abbr. B2C, b2c), (relativo a) transazioni commerciali elettroniche di beni e servizi tra aziende e consumatori finali □ (econ.) business trends, tendenze congiunturali; evoluzione (sing.) della congiuntura □ business unit, unità operativa ( che può essere identificata come centro di profitti) □ business visitor, operatore ( a una fiera, ecc.) □ (fin., rag.) business year, anno sociale; esercizio □ (econ.) big business, la grande industria; il grande capitale □ (fam.) to do the business, funzionare; avere successo; riuscire □ ( slang USA) to give sb. the business, picchiare q., suonarle a q.; dirne quattro a q., dare una ripassata a q.; uccidere q., accoppare q.; imbrogliare q. □ Good business!, bene!; ben fatto! □ (fam.) We're in business!, siamo pronti (a cominciare)!; siamo a posto!; siamo a cavallo! □ (fam.) to be in the business of, occuparsi di; avere intenzione di; avere come scopo: We're in the business of winning, il nostro scopo è vincere; I'm not in the business of paying for everybody, non intendo pagare per tutti □ (fam.) like nobody's business, benissimo; moltissimo; a gran velocità; a tutto spiano □ to make a great business of st., fare qc. in modo ostentato; fare qc. facendo una gran scena □ (fam.) to mean business, fare sul serio; non scherzare □ poor business, affari magri; ( anche) cattivo modo di condurre gli affari □ to set up in business, mettere su un'attività propria; mettersi in proprio (o per conto proprio) □ to talk business, parlare d'affari; (fig.) parlare di lavoro, parlare di bottega □ Business as usual, l'attività si svolge normalmente; tutto è come al solito; è tornata la normalità; ( cartello su un negozio: dopo una calamità, ecc.) siamo aperti □ (prov.) Business is business, gli affari sono affari □ (prov.) Business before pleasure, prima il dovere, poi il piacere NOTA D'USO: - activity o business?-. -
12 test
test
1. noun1) (a set of questions or exercises intended to find out a person's ability, knowledge etc; a short examination: an arithmetic/driving test.) prueba, examen, test2) (something done to find out whether a thing is good, strong, efficient etc: a blood test.) prueba, examen, test; análisis (de sangre)3) (an event, situation etc that shows how good or bad something is: a test of his courage.) prueba4) (a way to find out if something exists or is present: a test for radioactivity.) ensayo, prueba5) (a test match.) partido internacional
2. verb(to carry out a test or tests on (someone or something): The students were tested on their French; They tested the new aircraft.) probar, examinar; hacer un análisis- test pilot
- test-tube
test1 n examen / pruebatest2 vb testar / probar / comprobar
test sustantivo masculino (pl un examen tipo test a multiple-choice exam
test sustantivo masculino test
test de calidad, quality test ' test' also found in these entries: Spanish: alcoholemia - análisis - control - ensayar - ensayo - evaluación - examen - graduar - lección - negativa - negativo - positiva - positivo - probar - probeta - prueba - psicotécnica - psicotécnico - suficiencia - testar - verificación - admisión - bebé - citología - comprobación - convivencia - dar - ejercicio - interrogación - Papanicolau - piloto - resistencia - seguro - sondeo - tentar - verificar English: accurately - acid test - aptitude test - attest - blood test - breath test - detest - driving test - ease - polygraph - protest - protester - review - score - smear test - test - test case - test drive - test pilot - test run - test-tube baby - testament - testicle - testify - testimonial - testimony - worried - answer - blood - blow - Breathalyzer - dope - driving - endurance - fail - full - go - grade - graduated - litmus - means - multiple - Pap smear - pass - pilot - positive - quiz - remote - screen - settr[test]1 (trial) prueba2 SMALLEDUCATION/SMALL (gen) examen nombre masculino, prueba; (multiple choice) test nombre masculino3 SMALLMEDICINE/SMALL análisis nombre masculino1 (gen) probar2 (patience, loyalty) poner a prueba3 SMALLEDUCATION/SMALL hacerle una prueba a4 SMALLMEDICINE/SMALL analizar\SMALLIDIOMATIC EXPRESSION/SMALLto stand the test of time resistir el paso del tiempoto take a car for a test drive probar un coche en carreteratest flight vuelo de pruebatest match partido internacionaltest pilot piloto de pruebastest tube probetatest ['tɛst] vt: examinar, evaluartest vi: hacer pruebastest n: prueba f, examen m, test mto put to the test: poner a prueban.• ensayo s.m.• examen s.m.• piedra de toque s.f.• probatura s.f.• prueba s.f.• tanteo s.m.• test s.m.v.• ensayar v.• examinar v.• experimentar v.• probar v.• tantear v.• verificar v.test
I
1)a) ( Educ) prueba f; ( multiple-choice type) test mto do o take a test — hacer* una prueba/un test
to give o set somebody a test — hacerle* or ponerle* a alguien una prueba/un test
b) (of machine, drug) prueba fto put something to the test — poner* algo a prueba
to stand the test of time — resistir el paso del tiempo; (before n) <run, flight> experimental, de prueba
c) (analysis, investigation)blood/urine test — análisis m de sangre/orina
to have an eye/a hearing test — hacerse* un examen de la vista/del oído
2) ( Sport) partido m internacional
II
1.
a) \<\<student/class\>\> examinar, hacerle* una prueba a; \<\<knowledge/skill\>\> evaluar*b) test (out) \<\<product/vehicle/weapon\>\> probar*, poner* a pruebathese cosmetics have not been tested on animals — no se han utilizado animales en las pruebas de laboratorio de estos cosméticos
c) \<\<friendship/endurance\>\> poner* a pruebad) \<\<blood/urine\>\> analizar*; \<\<sight/hearing/reflexes\>\> examinar; \<\<hypothesis\>\> comprobar*to test somebody for something: she was tested for AIDS se le hizo un análisis para determinar si tenía el sida; to test something FOR something: the eggs were tested for salmonella — los huevos fueron analizados para determinar si estaban infectados de salmonela
2.
[test]just testing! — (hum) era sólo para ver qué decías
1. N1) (Scol, Univ) examen m ; (multiple-choice) test m ; (esp for job) prueba f•
to do a test — (Scol, Univ) hacer un examen; (multiple choice) hacer un test; (for job) hacer una prueba•
to fail a test — (Scol, Univ) suspender un examen; (multiple choice) suspender un test; (for job) no pasar una prueba•
to give sb a test (in sth) — examinar a algn (de algo), poner a algn un examen (de algo)•
an oral test — un examen oral•
to pass a test — (Scol, Univ) aprobar un examen; (multiple choice) aprobar un test; (for job) pasar una prueba•
to take a test — (Scol, Univ) hacer un examen; (multiple choice) hacer un test; (for job) hacer una pruebaaptitude, intelligence•
a written test — un examen oral/escrito2) (Aut) (also: driving test) examen m de conducir•
to fail one's test — suspender el examen de conducir•
to pass one's test — aprobar el examen de conducir•
to take one's test — hacer el examen de conducir3) (Med) [of organs, functioning] prueba f ; [of sample, substance] análisis m invbreath, fitness, litmus, smear•
it was sent to the laboratory for tests — lo mandaron al laboratorio para que lo analizaran4) (=trial) [of aircraft, new product, drug] prueba fflight I, 1., 1), screen 3.•
they want to ban cosmetics tests on animals — quieren prohibir las pruebas de cosméticos en animales5) (fig) prueba fhe now faces the toughest test of his leadership — ahora se enfrenta a la prueba más difícil durante su periodo como líder
holidays are a major test of any relationship — irse de vacaciones es una de las pruebas más difíciles a la que se somete cualquier relación
acid, endurance•
to put sth to the test — poner or someter algo a prueba6) (Cricket, Rugby) (also: test match) partido m internacional2. VT1) [+ student, pupil] examinar; [+ candidate] (for job) hacer una prueba a; [+ knowledge] evaluar; [+ understanding] poner a prueba•
to test sb on sth — (Scol, Univ) examinar a algn de algo; (esp for job) hacer una prueba de algo a algn; (for revision) hacer preguntas de algo a algn (para repasar)can you test me on my French/spelling? — ¿me haces preguntas de francés/ortografía?
2) (Med) [+ blood, urine, sample] analizar•
to have one's eyes tested — hacerse una revisión de la vista•
to test sb/sth for sth, to test sb for AIDS — hacer la prueba del SIDA a algnto test sb for drugs — (gen) realizar pruebas a algn para comprobar si ha consumido drogas; [+ athlete, sportsperson] realizar el control antidoping a algn
my doctor wants me to be tested for diabetes — mi médico quiere que me haga un análisis para ver or frm determinar si tengo diabetes
the urine is tested for protein — se hace un análisis de orina para determinar el contenido de proteínas
3) (=conduct trials on) [+ aircraft, weapon, new product, drug] probar•
all our products are tested for quality — probamos la calidad de todos nuestros productos•
to test sth on sth/sb — probar algo con or en algo/algnnone of our products are tested on animals — ninguno de nuestros productos se prueba con or en animales
4) (=check) probar- test the waters5) (fig) (=put to the test) [+ person, courage] poner a pruebahis resolve will be tested to the limits this week — su resolución se pondrá a prueba al máximo esta semana
3.VI (=conduct a test)testing, testing... — (Telec) probando, probando...
•
it is a method used to test for allergies — es un método utilizado en pruebas de alergia•
just testing! — hum ¡por si acaso pregunto!•
to test negative/ positive (for sth) — dar negativo/positivo (en la prueba de algo)4.CPD(nuclear) test ban N — prohibición f de pruebas nucleares
test ban treaty N — (also: nuclear test ban treaty) tratado m de prohibición de pruebas nucleares
test card N — (TV) carta f de ajuste
test case N — (Jur) juicio m que sienta jurisprudencia
test cricket N — críquet m a nivel internacional
test data NPL — resultados mpl de prueba
test-drivetest drive N — (by potential buyer) prueba f en carretera; (by mechanic, technician) prueba f de rodaje
test flight N — vuelo m de prueba, vuelo m de ensayo
test marketing N — pruebas de un producto nuevo en el mercado
test marketing has already shown the product to be a great success — las pruebas realizadas en el mercado ya han mostrado que el producto tiene un éxito tremendo
test match N — (Cricket, Rugby) partido m internacional
test paper N — (Scol, Univ) examen m ; (multiple-choice) test m ; (Chem) papel m reactivo
test pattern N (US) (TV) — = test card
test piece N — (Mus) pieza f elegida para un certamen de piano
test pilot N — piloto mf de pruebas
test run N — (lit) vuelta f de prueba, prueba f ; (fig) puesta f a prueba
test tube baby N — bebé mf probeta
- test out* * *[test]
I
1)a) ( Educ) prueba f; ( multiple-choice type) test mto do o take a test — hacer* una prueba/un test
to give o set somebody a test — hacerle* or ponerle* a alguien una prueba/un test
b) (of machine, drug) prueba fto put something to the test — poner* algo a prueba
to stand the test of time — resistir el paso del tiempo; (before n) <run, flight> experimental, de prueba
c) (analysis, investigation)blood/urine test — análisis m de sangre/orina
to have an eye/a hearing test — hacerse* un examen de la vista/del oído
2) ( Sport) partido m internacional
II
1.
a) \<\<student/class\>\> examinar, hacerle* una prueba a; \<\<knowledge/skill\>\> evaluar*b) test (out) \<\<product/vehicle/weapon\>\> probar*, poner* a pruebathese cosmetics have not been tested on animals — no se han utilizado animales en las pruebas de laboratorio de estos cosméticos
c) \<\<friendship/endurance\>\> poner* a pruebad) \<\<blood/urine\>\> analizar*; \<\<sight/hearing/reflexes\>\> examinar; \<\<hypothesis\>\> comprobar*to test somebody for something: she was tested for AIDS se le hizo un análisis para determinar si tenía el sida; to test something FOR something: the eggs were tested for salmonella — los huevos fueron analizados para determinar si estaban infectados de salmonela
2.
just testing! — (hum) era sólo para ver qué decías
-
13 interesar
interesar ( conjugate interesar) verbo intransitivo esto a ti no te interesa this doesn't concern you, this is no concern of yoursb) ( convenir):◊ interesaría comprobar los datos it would be useful/advisable to check the data;me interesa este tipo de préstamo this sort of loan would suit me verbo transitivo interesar a algn en algo to interest sb in sth, get sb interested in sth interesarse verbo pronominal interesarse en or por algo to take an interest in sth
interesar
I verbo transitivo
1 (inspirar interés) to interest: el fútbol no le interesa en absoluto, football doesn't interest him at all
atiende, creo que esto te interesa, pay attention, I think you should listen to this
2 (incumbir) to concern: eso no te interesa, it's none of your business
II vi (ser motivo de interés) to be of interest, to be important: interesa que nos reunamos cuanto antes, it is important that we meet as soon as possible ' interesar' also found in these entries: Spanish: concernir - deber English: appeal - care for - interest - concern
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