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it needs more determination

  • 1 it needs more determination

    на это надо/это требует больше упорства/решительности/твёрдости

    English-Russian combinatory dictionary > it needs more determination

  • 2 determination

    [dɪˌtəːmɪ'neɪʃ(ə)n]
    n
    1) решимость, решительность, решение, твёрдость, последовательность

    It is my determination to find out the truth. — Я твердо намерена добиться истины.

    - stubborn determination
    - inflexible determination
    - person of great determination
    - matter for determination
    - carry the plan out with determination
    - see determination in his face
    - show great determination
    - streighten the determination
    - weaken one's determination
    - it needs more determination
    - it needs no determination
    2) установление, измерение, определение, выбор
    - chronoligical determination
    - determination of the best name for the product
    - determination of the proper time
    - determination of the distance
    - determination of gold in a sample
    3) определение, постановление

    The determination of the exact meaning of a word can be difficult. — Бывает трудно определить точное значение слова.

    - accurate determination
    - unanimous determination
    - judicial determination
    4) направление, намерение

    He came with the determination to stay only a week. — Он приехал с твердым намерением пробыть там только одну неделю

    - determination of achieving one's aims
    - determination of settling the issue peacefully
    - with a full determination
    - declare one's determination
    - show resolute determination

    English-Russian combinatory dictionary > determination

  • 3 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, Eventually
       Just 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)
       Many 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 Form
       The 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 Formation
       It 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 Contexts
       Even 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)
        18) The Assumption That the Mind Is a Formal System
       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 Intelligence
       The 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 Propositions
       In 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

  • 4 en relación con

    = in association with, in conjunction with, in connection with, in relation to, in respect of, in terms of, in the way of, relating to, relative to, vis à vis, with reference to, with regard(s) to, apropos of, as it relates to, in the context of, for purposes of, on the matter of, re, regarding, apropos to, in reference to, concerning, in keeping with
    Ex. Notices conveying, for example, the essential elements of the catalogue are likely to be especially important in association with microfilm or card catalogues.
    Ex. Rules for any given class must be used in conjunction with the schedules for that class.
    Ex. There is an index to the schedules, but this has been criticised in connection with the size of the entry vocabulary.
    Ex. It is easiest to discuss the criteria for effective schedules in relation to the treatment of specific subjects.
    Ex. It is perhaps fortunate that the array of terms that are used to describe indexes is a little more restricted than the variety of terms used in respect of catalogues.
    Ex. And we have all of the ingredients for the creation of an atmosphere in which the proponents of expediency could couch their arguments in terms of cost effectiveness.
    Ex. Indeed, the changes are so rapid and so diverse, our plans for the future must also include what is presently possible in the way of information dissemination.
    Ex. Recommendations relating to analytical cataloguing practices concern themselves primarily with the way in which the part of a document or work to be accessed is described.
    Ex. It was apparent that the responders to the investigation were somewhat unsure of their future situation relative to the burgeoning information education market = Era claro que los entrevistados en la investigacion no se sentían muy seguros sobre su situación futura en relación con el incipiente mercado de las enseñanzas de documentación.
    Ex. The information note following the explanatory heading provides guidance to the user of the catalogue vis à vis the conventions used in formulating uniform headings.
    Ex. General points have been illustrated with reference to the cataloguing of books.
    Ex. KWOC or Keyword Out of Context indexes are intended to improve upon KWIC indexes, with regards to layout and presentation.
    Ex. After a few tangential remarks apropos of nothing, Carmichael left, a considerably less anxious person.
    Ex. This article reviews the mission of the ALA's Committee on Accreditation (COA) and examines its role as it relates to the education of librarians qualified to work with children and young people.
    Ex. The exploration aims to view table of contents terminology in the context of functions served by other representations of subject information, including Library of Congress subject headings, work title terminology, and author-contributed front matter.
    Ex. This article discusses the advantages to libraries of computer technology for purposes of bibliographic control and on-line access.
    Ex. Again, on the matter of the sources already consulted by the enquirer, the implication is not that he is unreliable or deceitful, but that in looking up the Encyclopedia Americana he may not be aware of the existence of the index.
    Ex. This reawakening brought a determination to help make atomic energy a positive factor for humanity but things have gone from bad to worse re genuine disarmament.
    Ex. In major enumerative schemes synthesis is often controlled by careful instructions regarding citation order.
    Ex. Thus, self-presentation becomes a dynamic conception of people structuring their relations apropos to their life-space, rather than a theory of how to win friends and influence people.
    Ex. We now know enough in reference to the prevention and cure of communicable diseases so that the average human life might be lengthened by a third.
    Ex. Having been alerted to the existence of a document, the user needs information concerning the actual location of the document, in order that the document may be read.
    Ex. This revised chapter modified the code in keeping with the recently agreed ISBD(M), and proposed a slightly different description for monographs.
    * * *
    = in association with, in conjunction with, in connection with, in relation to, in respect of, in terms of, in the way of, relating to, relative to, vis à vis, with reference to, with regard(s) to, apropos of, as it relates to, in the context of, for purposes of, on the matter of, re, regarding, apropos to, in reference to, concerning, in keeping with

    Ex: Notices conveying, for example, the essential elements of the catalogue are likely to be especially important in association with microfilm or card catalogues.

    Ex: Rules for any given class must be used in conjunction with the schedules for that class.
    Ex: There is an index to the schedules, but this has been criticised in connection with the size of the entry vocabulary.
    Ex: It is easiest to discuss the criteria for effective schedules in relation to the treatment of specific subjects.
    Ex: It is perhaps fortunate that the array of terms that are used to describe indexes is a little more restricted than the variety of terms used in respect of catalogues.
    Ex: And we have all of the ingredients for the creation of an atmosphere in which the proponents of expediency could couch their arguments in terms of cost effectiveness.
    Ex: Indeed, the changes are so rapid and so diverse, our plans for the future must also include what is presently possible in the way of information dissemination.
    Ex: Recommendations relating to analytical cataloguing practices concern themselves primarily with the way in which the part of a document or work to be accessed is described.
    Ex: It was apparent that the responders to the investigation were somewhat unsure of their future situation relative to the burgeoning information education market = Era claro que los entrevistados en la investigacion no se sentían muy seguros sobre su situación futura en relación con el incipiente mercado de las enseñanzas de documentación.
    Ex: The information note following the explanatory heading provides guidance to the user of the catalogue vis à vis the conventions used in formulating uniform headings.
    Ex: General points have been illustrated with reference to the cataloguing of books.
    Ex: KWOC or Keyword Out of Context indexes are intended to improve upon KWIC indexes, with regards to layout and presentation.
    Ex: After a few tangential remarks apropos of nothing, Carmichael left, a considerably less anxious person.
    Ex: This article reviews the mission of the ALA's Committee on Accreditation (COA) and examines its role as it relates to the education of librarians qualified to work with children and young people.
    Ex: The exploration aims to view table of contents terminology in the context of functions served by other representations of subject information, including Library of Congress subject headings, work title terminology, and author-contributed front matter.
    Ex: This article discusses the advantages to libraries of computer technology for purposes of bibliographic control and on-line access.
    Ex: Again, on the matter of the sources already consulted by the enquirer, the implication is not that he is unreliable or deceitful, but that in looking up the Encyclopedia Americana he may not be aware of the existence of the index.
    Ex: This reawakening brought a determination to help make atomic energy a positive factor for humanity but things have gone from bad to worse re genuine disarmament.
    Ex: In major enumerative schemes synthesis is often controlled by careful instructions regarding citation order.
    Ex: Thus, self-presentation becomes a dynamic conception of people structuring their relations apropos to their life-space, rather than a theory of how to win friends and influence people.
    Ex: We now know enough in reference to the prevention and cure of communicable diseases so that the average human life might be lengthened by a third.
    Ex: Having been alerted to the existence of a document, the user needs information concerning the actual location of the document, in order that the document may be read.
    Ex: This revised chapter modified the code in keeping with the recently agreed ISBD(M), and proposed a slightly different description for monographs.

    Spanish-English dictionary > en relación con

  • 5 iron

    1. noun
    1) (( also adjective) (of) an element that is the most common metal, is very hard, and is widely used for making tools etc: Steel is made from iron; The ground is as hard as iron; iron railings; iron determination (= very strong determination).) jern
    2) (a flat-bottomed instrument that is heated up and used for smoothing clothes etc: I've burnt a hole in my dress with the iron.) strykejern
    3) (a type of golf-club.) kølle
    2. verb
    (to smooth (clothes etc) with an iron: This dress needs to be ironed; I've been ironing all afternoon.) stryke (klær)
    - irons
    - ironing-board
    - ironmonger
    - ironmongery
    - have several
    - too many irons in the fire
    - iron out
    - strike while the iron is hot
    jern
    I
    subst. \/ˈaɪən\/
    1) jern
    2) verktøy laget av jern, redskap laget av jern
    3) strykejern
    4) krølltang
    5) (golf, om kølle) jern, iron
    6) ( medisin) jern(preparat)
    7) (slang, om skytevåpen) (skyte)jern, skyter
    8) ( hverdagslig) vekt(er) (for styrketrening)
    be put in irons bli lagt i lenker\/jern
    eating irons (militærvesen, hverdagslig) spiseredskaper, spisebestikk
    have (too) many irons in the fire ha (for) mange jern i ilden
    irons jern, lenker
    a man of iron en hard\/streng\/ubøyelig mann
    pump\/push iron ( hverdagslig) trene med vekter
    rule with a rod of iron styre\/regjere med jernhånd
    strike while the iron is hot smi mens jernet er varmt
    a will of iron eller an iron will en jernvilje
    II
    verb \/ˈaɪən\/
    1) stryke, presse
    2) legge i jern, legge i lenker, fengsle
    3) beslå med jern
    4) la seg stryke
    iron out ( overført) bringe ut av verden, rydde av veien
    glatte, jevne ut
    III
    adj. \/ˈaɪən\/
    1) jern-, av jern
    2) ( om farge) jerngrå, stålgrå
    3) ( overført) jernhard, ubøyelig, streng, ubarmhjertig
    iron constitution jernhelse, jernfysikk
    the Iron Duke ( historisk) Jernhertugen (hertugen av Wellington)
    iron grip jerngrep
    iron tonic jernmedisin
    rule with an iron hand styre med jernhånd

    English-Norwegian dictionary > iron

  • 6 arranque

    m.
    1 start (comienzo).
    2 starter (motor) (automobiles) (motor).
    arranque eléctrico electrical starting
    3 fit (arrebato).
    en un arranque de ira/generosidad in a fit of anger/generosity
    4 start-up, startup.
    5 outburst, dash, outbreak, spurt.
    6 driveaway, action of moving ahead from a stopped position in a vehicle.
    7 snatch.
    pres.subj.
    3rd person singular (él/ella/ello) Present Subjunctive of Spanish verb: arrancar.
    * * *
    1 TÉCNICA starting mechanism
    2 (comienzo) start
    3 figurado (arrebato) outburst, fit
    5 (decisión, valentía) courage, determination
    6 (ocurrencia ingeniosa) joke, witticism
    \
    en un arranque impulsively
    * * *
    noun m.
    2) outburst, fit
    * * *
    SM
    1) (Mec) starting mechanism

    ¡10.000 pesos!, con eso ni para el arranque — 10,000 pesos! that's nowhere near enough *

    motor
    2) (=comienzo) beginning
    punto
    3) (=impulso)
    4) (=arrebato) [de generosidad, franqueza] outburst; [de ira, violencia] fit; [de energía] burst
    5) (=ocurrencia) witty remark
    6) (=base) [de columna, arco] base; [de escalera] foot
    * * *
    1) (Auto, Mec) starting mechanism

    ni para el arranque — (Méx fam)

    2) ( de arco) base
    3)
    a) ( arrebato) fit

    un arranque de celos/ira — a fit of jealousy/rage

    un arranque de actividad/energía — a burst of activity/energy

    b) (brío, energía) drive
    * * *
    1) (Auto, Mec) starting mechanism

    ni para el arranque — (Méx fam)

    2) ( de arco) base
    3)
    a) ( arrebato) fit

    un arranque de celos/ira — a fit of jealousy/rage

    un arranque de actividad/energía — a burst of activity/energy

    b) (brío, energía) drive
    * * *
    arranque1
    1 = startup [start-up], boot process, ignition.

    Ex: This article presents some practical tips to help users of DIALOG's DIALOGLINK including buffer size, screen speed-up, startup short cuts, type-ahead buffer and use of DIALOGLING with other services.

    Ex: Lines of defence include the protection of the boot process with keyboard modification to disable any keys that can be used to interrupt the boot process.
    Ex: The booklet concludes with a section on motorcycle maintenance that addresses lubrication, ignition tune-up, electrical systems, carburetors, and general troubleshooting.
    * arranque, comienzo, inicio, puesta en funcionamiento, puesta en marcha = startup [start-up].
    * arranque con cables = jump-starting [jumpstarting].
    * darle a la manivela de arranque = turn + the crank.
    * de arranque = bootable.
    * llave de arranque = ignition key.
    * pinzas de arranque = jumper cables, booster cables, jumper leads.
    * sistema de arranque = starting system.
    * velocidad de arranque = getaway speed.

    arranque2
    2 = burst.

    Ex: Fueled by inspiration, coffee and Benzedrine, Kerouac sat down at his typewriter and -- in one burst of creative energy -- wrote the novel that would make him the voice of his generation in just 20 days.

    * * *
    A ( Auto, Mec) starting mechanism
    el coche tiene problemas de arranque I have problems starting it o getting it started
    motor2 (↑ motor (2))
    ¿jugar contra Juan? ese no me sirve ni para el arranque play Juan? that's not much of a challenge
    C ( Inf)
    boot: arranque caliente/frío warm/cold boot
    D
    un arranque de celos/ira/locura a fit of jealousy/rage/madness
    un arranque de actividad/energía a burst of activity/energy
    2 (brío, energía) drive
    * * *

    Del verbo arrancar: ( conjugate arrancar)

    arranqué es:

    1ª persona singular (yo) pretérito indicativo

    arranque es:

    1ª persona singular (yo) presente subjuntivo

    3ª persona singular (él/ella/usted) presente subjuntivo

    3ª persona singular (él/ella/usted) imperativo

    Multiple Entries:
    arrancar    
    arranque
    arrancar ( conjugate arrancar) verbo transitivo
    1 ‹ hoja de papel› to tear out;
    ‹ etiqueta› to tear off;
    ‹botón/venda› to pull off;
    ‹ planta› to pull up;
    ‹ flor› to pick;
    ‹diente/pelo› to pull out;

    2 ‹confesión/declaración› to extract
    3 ‹motor/coche› to start
    verbo intransitivo [motor/vehículo] to start
    arrancarse verbo pronominal
    1 ( refl) ‹pelo/diente› to pull out;
    ‹piel/botón› to pull off
    2 (Chi fam) ( huir) to run away
    arranque sustantivo masculino
    a) (Auto, Mec) starting mechanism;


    b) ( arrebato) arranque de algo fit of sth

    arrancar
    I verbo transitivo
    1 (una planta) to uproot, pull up
    arrancar de raíz, to uproot
    2 (una página) to tear out
    (un diente) to pull out
    3 fig (una confesión) to extract
    4 (mover) no había manera de arrancar a Rodrigo de allí, it was impossible to pull Rodrigo away
    5 Auto Téc to start
    II verbo intransitivo
    1 Auto Téc to start
    2 (empezar) to begin: estábamos tan tranquilos y de repente arrancó a llorar, everything was quiet when he suddenly started crying
    arranque sustantivo masculino
    1 (inicio) start
    2 Auto Téc starting
    3 fam (arrebato) outburst, fit
    ' arranque' also found in these entries:
    Spanish:
    motor
    - arrebato
    - pedal
    English:
    blaze
    - boot
    - burst
    - fit
    - jump-start
    - outburst
    - starter
    - starting switch
    - booster
    - crank
    - ignition
    - jumper
    - kick
    * * *
    ♦ nm
    1. [comienzo] start;
    el equipo no ha tenido un buen arranque liguero the team has had a poor start to the season;
    la película se proyectó en el arranque del certamen the festival kicked off with a screening of the film
    2. Aut [motor] starter (motor);
    durante el arranque [puesta en marcha] while starting the car
    arranque eléctrico [mecanismo] electrical starter
    3. Informát boot-up, start-up
    4. [de arco] base
    5. [arrebato]
    en un arranque de ira/generosidad in a fit of anger/generosity;
    ¡tiene unos arranques! he just flies off the handle without warning!
    6. [decisión] drive
    * * *
    m
    1 AUTO starter (motor);
    no hay ningún problema con el arranque there’s no problem starting it
    2 INFOR start(-up), boot
    3 ( energía) drive
    4 ( ataque) fit
    * * *
    1) : starter (of a car)
    2) arrebato: outburst, fit
    3)
    punto de arranque : beginning, starting point

    Spanish-English dictionary > arranque

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