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1 generally and particularly
Общая лексика: в общем и в частностиУниверсальный англо-русский словарь > generally and particularly
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2 generally and particularly
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3 Generally and particularly
В общем и в частностиDifficulties of the English language (lexical reference) English-Russian dictionary > Generally and particularly
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4 particularly
particularly [pəˊtɪkjυləlɪ] adv1) о́чень, чрезвыча́йно; осо́бенно, в осо́бенности2) осо́бенно, осо́бым о́бразом3) индивидуа́льно, ли́чно; в отде́льности;generally and particularly в о́бщем и в ча́стности
4) подро́бно, дета́льно -
5 particularly
pəˈtɪkjuləlɪ нареч.
1) очень, чрезвычайно;
в высокой степени
2) а) особенно, особым образом Syn: specifically б) детально, подробно It becomes necessary to consider more particularly the facts out of which those issues arise. (Sir J. Bacon) ≈ Становится необходимым рассматривать более подробно те факты, на основании которых делаются такие заключения. Syn: in detail, at length, minutely II
3) уст. индивидуально, лично;
в отдельности Syn: severally, singly, individually очень, чрезвычайно;
особенно, в особенности - not * difficult не особенно трудно - his good humour was * noticeable его хорошее настроение бросалось в глаза особым образом - I * mentioned that point я особо отметил этот пункт индивидуально, лично;
в отдельности - generally and * в общем и в частности - he studies astronomy and planets * он изучает астрономию и, в частности, планеты подробно, детально - the facts must be considered more * факты должны изучаться более детально particularly индивидуально, лично;
в отдельности;
generally and particularly в общем и в частности particularly индивидуально, лично;
в отдельности;
generally and particularly в общем и в частности ~ особенно, особым образом ~ очень, чрезвычайно;
особенно, в особенности ~ подробно, детальноБольшой англо-русский и русско-английский словарь > particularly
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6 particularly
[pəˈtɪkjuləlɪ]particularly индивидуально, лично; в отдельности; generally and particularly в общем и в частности particularly индивидуально, лично; в отдельности; generally and particularly в общем и в частности particularly особенно, особым образом particularly очень, чрезвычайно; особенно, в особенности particularly подробно, детально -
7 particularly
1. adv очень, чрезвычайно; особенно, в особенностиhis clothes were not of the latest Nor did they fit particularly well — его одежда не была сшита по последней И сидела она не особенно хорошо
2. adv особым образом3. adv индивидуально, лично; в отдельности4. adv подробно, детальноСинонимический ряд:1. exactly (other) exactly; in detail; minutely; precisely; strictly2. individually (other) characteristically; discretely; distinctively; especially; exceptionally; individually; notably; principally; separately; singly; special; specially; specifically3. very (other) awful; awfully; considerably; enormously; exceedingly; extra; extraordinarily; extremely; highly; immensely; in particular; jolly; mighty; quite; rather; really; remarkably; too; tremendously; veryАнтонимический ряд:customarily; generally; usually -
8 particularly
[pəʹtıkjʋləlı] adv1. очень, чрезвычайно; особенно, в особенностиhis good humour was particularly noticeable - его хорошее настроение бросалось в глаза
2. особым образом3. индивидуально, лично; в отдельностиhe studies astronomy and planets particularly - он изучает астрономию и, в частности, планеты
4. подробно, детальноthe facts must be considered more particularly - факты должны изучаться более детально
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9 generally
1. adv обычно, как правило2. adv в общем смысле, вообщеgenerally speaking — вообще говоря; в общих чертах
3. adv широко, повсеместно; в большинстве случаевan opinion generally held — широко распространённое мнение, общее мнение
Синонимический ряд:1. commonly (adj.) commonly; in general; often; ordinarily; regularly; usually2. almost (other) about; all but; almost; approximately; in round numbers; nearly; roughly; thereabouts3. altogether (other) all in all; altogether; by and large; en masse; on the whole4. chiefly (other) chiefly; in general; in the main; largely; mainly; mostly; overall; predominantly; primarily; principally5. globally (other) comprehensively; generically; globally; universally6. usually (other) as a rule; by ordinary; commonly; frequently; ordinarily; usuallyАнтонимический ряд:infrequently; occasionally; rarely; seldom -
10 generally
[ʹdʒen(ə)rəlı] adv1. обычно, как правилоwhat time do you generally get up? - когда ты обычно встаёшь?
I generally go to the theatre on Sundays - я, как правило, хожу в театр по воскресеньям
2. в общем смысле, вообщеgenerally speaking - вообще говоря; в общих чертах
3. широко, повсеместно; в большинстве случаевan opinion generally held - широко распространённое мнение, общее мнение
the new plan was generally welcomed [accepted] - новый план был повсеместно встречен с одобрением [принят]
it is generally assumed that... - принято считать /обычно считают/, что...
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11 particularly
adv1) особливо2) дуже, надзвичайно3) індивідуально, особисто; окремо, зокрема4) особливим чином5) докладно, детально* * *adv1) дуже, надзвичайно; особливо3) індивідуально, особисто; окремо; зокрема4) докладно, детально -
12 particularly
/pə'tikjuləli/ * phó từ - đặc biệt, cá biệt, riêng biệt =particularly good+ đặc biệt tốt =generally and particularly+ nói chung và nói riêng - tỉ mỉ, chi tiết -
13 particularly
adverb1) очень, чрезвычайно; особенно, в особенности2) особенно, особым образом3) индивидуально, лично; в отдельности; generally and particularly в общем и в частности4) подробно, детально* * *(d) особенно* * *очень, чрезвычайно; в высокой степени* * *adv. очень, лично, подробно, в отдельности, в частности, детальноpar'tic·u·lar·ly || pə;r'tɪ;kjə;lə;(r)lɪ; /pə;'tɪ;kjʊ;-* * *детальноизбранные-особоиндивидуальноличноособенноособоотдельнооченьподробночрезвычайно* * *1) очень, чрезвычайно; в высокой степени 2) а) особенно, особым образом б) детально 3) устар. индивидуально, лично; в отдельности -
14 particularly
[pə'tɪkjʊləlɪ]adv1) ду́же; надзвича́йно; ве́льми2) особли́во, особли́вим чи́ном3) індивідуа́льно, особи́сто; зокре́ма́generally and particularly — загало́м і зокре́ма́
4) докла́дно, дета́льно -
15 generally
ˈdʒenərəlɪ нареч.
1) обычно, как правило;
в целом Syn: usually, commonly
2) в общем смысле, вообще generally speaking ≈ вообще говоря
3) редк. широко (распространенный) ;
в большинстве случаев, большей частью The opinion of the meeting was generally favourable to the amendment. ≈ Мнение собрания было по большей части благосклонным в отношении повестки дня. Syn: extensively обычно, как правило - what time do you * get up? когда ты обычно встаешь? - I * go to the theatre on Sundays я, как правило, хожу в театр по воскресеньям в общем смысле, вообще - * speaking вообще говоря, в общих чертах - * and particularly в общем и в частности широко, повсеместно;
в большинстве случаев - * received общепринятый - an opinion * held широко распространенное мнение, общее мнение - the new plan was * welcomed новый план был повсеместно встречен с одобрением - it is assumed that... принято считать /обычно считают/, что... generally в общем смысле, вообще ~ как правило ~ обычно, как правило;
в целом;
it is generally recognized общепризнано ~ обычно ~ широко (распространенный) ;
в большинстве случаев, большей частью;
the plan was generally welcomed план был одобрен большинством ~ обычно, как правило;
в целом;
it is generally recognized общепризнано ~ широко (распространенный) ;
в большинстве случаев, большей частью;
the plan was generally welcomed план был одобрен большинствомБольшой англо-русский и русско-английский словарь > generally
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16 more generally
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17 Fuller, Richard Buckminster
SUBJECT AREA: Architecture and building[br]b. 12 July 1895 Milton, Massachusetts, USAd. 1 July 1983 Los Angeles, California, USA[br]American engineer, designer and inventor noted particularly for his creation of the geodesic dome.[br]After naval service during the First World War, Fuller worked for some time in the building industry with his father, who was an architect. In 1927 he became interested in trying to solve social problems by providing good, low-cost housing for an expanding population. Utilizing modern techniques applicable in other industries, such as the design of aircraft and ships, he produced his "Dymaxion House", which was transportable and cheap. This was followed in 1946 by his aluminium, stressed-skin, prefabricated house. The geodesic dome is the structural concept for which Fuller is particularly known. It was patented in 1954 and 300,000 were built over a thirty-year period. He had envisaged the dome being utilized on smaller or larger, simple or complex patterns for a wide variety of needs such as enclosing a covered area for a house, a botanical garden, an exhibition pavilion, a factory, a weather station or, indeed, an entire city. A famous example that he designed was that for the US pavilion at Expo '67 in Montreal. A geodesic dome is generally spherical in form, the chief structural elements of which are interconnected in a geodesic pattern, i.e. one in which the lines connecting two points are the shortest possible. The structure is composed of slender, lightweight struts (usually of aluminium) arranged in geometrical patterns, with the metal skeleton covered by a light, plastic material. Inside the dome, all the space is usable and the climate is controllable. Fuller wrote and lectured widely on his patented invention, explaining the importance of structural research particularly in relation to world needs.[br]Bibliography1975, Synergetics: Exploration on the Geometry of Thinking, Macmillan.1973, with R.W.Marks, The Dymaxion World of Buckminster Fuller, New York: Reprint Anchor.Further ReadingM.Pawley, 1990, Buckminster Fuller, Trefoil Books.DYBiographical history of technology > Fuller, Richard Buckminster
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18 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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19 that
1. ðæt plural - those; adjective(used to indicate a person, thing etc spoken of before, not close to the speaker, already known to the speaker and listener etc: Don't take this book - take that one; At that time, I was living in Italy; When are you going to return those books?) ese, esa, esos, esas; aquel, aquella, aquellos, aquellas
2. pronoun(used to indicate a thing etc, or (in plural or with the verb be) person or people, spoken of before, not close to the speaker, already known to the speaker and listener etc: What is that you've got in your hand?; Who is that?; That is the Prime Minister; Those present at the concert included the composer and his wife.) ese, esa, esos, esas; aquel, aquella, aquellos, aquellas
3. ðət, ðæt relative pronoun(used to refer to a person, thing etc mentioned in a preceding clause in order to distinguish it from others: Where is the parcel that arrived this morning?; Who is the man (that) you were talking to?)
4. ðət, ðæt conjunction1) ((often omitted) used to report what has been said etc or to introduce other clauses giving facts, reasons, results etc: I know (that) you didn't do it; I was surprised (that) he had gone.) que2) (used to introduce expressions of sorrow, wishes etc: That I should be accused of murder!; Oh, that I were with her now!) y pensar que; ojalá
5.
adverb(so; to such an extent: I didn't realize she was that ill.) tan- that's that
that1 adj ese / aquelwho lives in that house? ¿quién vive en esa casa?did you bring that book? ¿has traído aquel libro?what are those boys doing? ¿qué están haciendo aquellos chicos?that2 adv tanthat3 conj quethat4 pron1. ése / aquél2. esotr[ðæt ʊnstressed ðət]1 ese, esa (remote) aquel, aquella■ how much is that dress? ¿cuánto vale ese vestido?■ what was that noise? ¿qué ha sido ese ruido?■ have you got that record I lent you? ¿tienes aquel disco que te dejé?■ who's that? ¿quién es ése/ésa?■ this is mine, that is yours éste es mío, aquél es tuyo2 (indefinite) eso; (remote) aquello■ what's that? ¿qué es eso?■ where did you get that? ¿dónde has comprado eso?3 (relative) que4 (with preposition) que, el/la que, el/la cual1 que2 ¡ojalá!1 familiar tan, tanto,-a, tantos,-as\SMALLIDIOMATIC EXPRESSION/SMALLand all that y todo esolike that así, de aquella manerathat is to say es decirthat's life así es la vidathat's more like it ¡ahora!, ¡así me gusta!that's right así esthat's that ya está, se acabówho's that? (on 'phone) ¿quién es?, ¿quién eres?it's not that expensive: no es tan caronot that much: no tantodo you see those children?: ¿ves a aquellos niños?that conj & pron: quehe said that he was afraid: dijo que tenía miedothe book that he wrote: el libro que escribió1) : ése, ésa, esothat's my father: ése es mi padrethose are the ones he likes: ésos son los que le gustanwhat's that?: ¿qué es eso?those are maples and these are elms: aquéllos son arces y éstos son olmosthat came to an end: aquello se acabóadj.• esa adj.• ese adj.adj.dem.• aquel adj.dem.adv.• como adv.• tan adv.conj.• ese conj.• para que conj.• que conj.pron.• aquello pron.• aquél pron.• el cual pron.• ese pron.• eso pron.• que pron.• quien pron.• tanto pron.pron.dem.neut.• aquello pron.dem.neut.
I ðæt1) (pl those) ( demonstrative) ése, ésa; (neuter) esothose — ésos, ésas; (to refer to something more distant, to the remote past) aquél, aquélla; (neuter) aquello
those — aquéllos, aquéllas [According to the Real Academia Española the accent can be omitted when there is no ambiguity]
what's that? — ¿qué es eso?
who's that over there? — quién es ése/ésa?
those are $20 and those over there $21.50 — ésos cuestan 20 dólares y aquéllos de allá 21,50
who's that, please? — ( on telephone) ¿con quién hablo, por favor?
that's impossible/wonderful! — es imposible/maravilloso!
is that so? — no me digas!, ¿ah, sí?
don't talk like that! — no hables así!, no digas eso!
eat it up now, that's a good girl! — vamos, cómetelo todo así me gusta!
come on, it's not as bad as all that — vamos, que no es para tanto
2) (in phrases)at that they all burst out laughing — al oír (or ver etc) eso, todos se echaron a reír
he has enormous power and wealth, but is still unhappy for all that — tiene mucho poder y muchas riquezas, pero aún así es infeliz
that is: we're all going, all the adults, that is vamos todos, es decir, todos los adultos; you're welcome to come along, that is, if you'd like to encantados de que vengas, siempre que quieras venir, claro; that's it!: that's it for today eso es todo por hoy; is that it? - no, there's another bag to come ¿ya está? - no, todavía falta otra bolsa; now lift your left arm: that's it! ahora levanta el brazo izquierdo eso es! or ahí está!; that's it: I've had enough! se acabó! ya no aguanto más!; that's that: you're not going and that's that! — no vas y no hay más que hablar or y se acabó
3) ðət, strong form ðæt ( relative) queit wasn't Helen (that) you saw — no fue a Helen a quien viste, no fue a Helen que viste (AmL)
II ðætthose — esos, esas; (to refer to something more distant, to the remote past) aquel, aquella
those — aquellos, aquellas
do you know that boy/girl? — ¿conoces a ese chico/esa chica?
I prefer that one — prefiero ése/ésa
III ðət, strong form ðætconjunction queshe said (that)... — dijo que...
it's not that I mind what he does but... — no es que me importe lo que hace, pero...
they died that others might live — (liter) murieron para que otros pudieran vivir
IV ðætadverb tanten thirty? that late already? — ¿las diez y media? ¿ya es tan tarde?
(strong form) [ðæt] (weak form) [ˌdǝt] (pl those) Those is treated as a separate entry.I'm not that interested, really — la verdad es que no me interesa tanto
1. DEMONSTRATIVE ADJECTIVE1) [+ objects/people]You can generally use ese etc when pointing to something near the person you are speaking to. Use aquel etc for something which is distant from both of you: (nearer) ese m, esa f ; (more remote) aquel m, aquella fthat car is much better value than that sports model at the end — ese coche está mejor de precio que aquel modelo deportivo que hay al final
that wretched dog! — ¡ese maldito perro!
In the past the standard spelling for [ese/esa] and [aquel/aquella] used as pronouns (as when they are used to translate [that one]) was with an accent ([ése/ésa] and [aquél/aquélla]). Nowadays the [Real Academia Española] advises that the accented forms are only required where there might otherwise be confusion with the adjectives [este/esta] and [aquel/aquella].what about that cheque? — ¿y el cheque ese?
there's little to choose between this model and that one — no hay mucho que elegir entre este modelo y aquel
2) [+ event, year, month]
Aquel is used to refer to a time in the distant past. Use if you mention a concrete date, month, year {etc">ese:do you remember that holiday we had in Holland? — ¿te acuerdas de aquellas vacaciones que pasamos en Holanda?
1992? I can't remember where we holidayed that year — ¿1992? no recuerdo dónde pasamos las vacaciones ese año
May? we can't come that month because we'll be moving house — ¿en mayo? no podemos venir ese mes porque nos estaremos mudando de casa
2.DEMONSTRATIVE PRONOUNThe pronoun that ( one) is translated by ese and aquel (masc), esa and aquella (fem) and eso and aquello (neuter). You can generally use ese etc when pointing to something near the person you are speaking to. Use aquel etc for something which is distant from both of you. Note that in the past the standard spelling for the masculine and feminine pronouns was with an accent (ése/ésa and aquél/aquélla). Nowadays the Real Academia Española advises that the accented forms are only required where there might otherwise be confusion with the adjectives ese/esa and aquel/aquella. Neuter pronouns never carry an accent. (nearer) ese m, esa f, ése m, ésa f, eso (neuter) ; (more remote) aquel(la) m / f, aquél(la) m / f, aquello (neuter)who's that? — ¿quién es ese?
what is that? — ¿qué es eso?, ¿eso qué es?
is that you, Paul? — ¿eres tú, Paul?
£5? it must have cost more than that — ¿5 libras? debe haber costado más (que eso)
that's true — eso es verdad, es cierto (esp LAm)
that's odd! — ¡qué raro!, ¡qué cosa más rara!
1988? that was the year you graduated, wasn't it? — ¿1988? ese fue el año en que acabaste la carrera, ¿no es así?
"will he come?" - "that he will!" — † -¿vendrá? -¡ya lo creo!
•
after that — después de eso•
bees and wasps and all that — abejas, avispas y cosas asíis that all? — ¿eso es todo?, ¿nada más?
•
and it was broken at that — y además estaba rotoI realized he meant to speak to me and at that I panicked — me di cuenta de que quería hablar conmigo y entonces me entró el pánico
•
what do you mean by that? — ¿qué quieres decir con eso?•
if it comes to that — en tal caso, si llegamos a eso•
it will cost 20 dollars, if that — costará 20 dólares, si es que llega•
that is — (=ie) es decir...•
that's it, we've finished — ya está, hemos terminadothat's it! she can find her own gardener! — ¡se acabó! ¡que se busque un jardinero por su cuenta!
•
that of — el/la de•
that is to say — es decir...•
why worry about that which may never happen? — frm ¿por qué preocuparse por aquello que or por lo que puede que nunca vaya a pasar?•
with that — con eso3. RELATIVE PRONOUNUnlike that, the Spanish relative cannot be omitted.1) quethe girl that he met on holiday and later married — la chica que conoció durante las vacaciones y con la que después se casó
If the that clause ends in a preposition, you can either translate that as que (usually preceded by the definite article) or as article + cual/cuales. Use the second option particularly in formal language or after long prepositions or prepositional phrases:fool that I am! — ¡tonto que soy!
the box that I put it in — la caja donde lo puse, la caja en la que or en la cual lo puse
4. ADVERB1) (=so) tanit's about that big — (with gesture) es más o menos así de grande
•
cheer up! it isn't that bad — ¡ánimo! ¡no es para tanto!•
that many frogs — tantas ranas•
that much money — tanto dinero2) * (=so very) tanit was that cold! — ¡hacía tanto frío!
5. CONJUNCTIONUnlike that, que cannot be omitted.1) after verb quehe said that... — dijo que...
he said that he was going to London and would be back in the evening — dijo que se iba a Londres y (que) volvería por la tarde
2) after nounTranslate as de que in phrases like the idea/belief/hope that:
•
any hope that they might have survived was fading — toda esperanza de que hubiesen sobrevivido se estaba desvaneciendo•
the idea that we can profit from their labour — la idea de que podemos aprovecharnos de su trabajo•
..., not that I want to, of course —..., no es que yo quiera, por supuestoIf the that clause is the subject of another verb it is usual to translate that as el que rather than que especially if it starts the sentence:•
oh that we could! — ¡ojalá pudiéramos!, ¡ojalá!In these cases the verb which follows will be in the subjunctive:that he did not know surprised me — (el) que no lo supiera me extrañó, me extrañó (el) que no lo supiera
wouldthat he should behave like this is incredible — (el) que se comporte así es increíble, es increíble que se comporte así
4) (=in order that) para que + subjunthose who fought and died that we might live — los que lucharon y murieron para que nosotros pudiésemos vivir
5)• in that — en el sentido de que
it's an attractive investment in that it is tax-free — es una inversión atractiva en el sentido de que está exenta de impuestos
* * *
I [ðæt]1) (pl those) ( demonstrative) ése, ésa; (neuter) esothose — ésos, ésas; (to refer to something more distant, to the remote past) aquél, aquélla; (neuter) aquello
those — aquéllos, aquéllas [According to the Real Academia Española the accent can be omitted when there is no ambiguity]
what's that? — ¿qué es eso?
who's that over there? — quién es ése/ésa?
those are $20 and those over there $21.50 — ésos cuestan 20 dólares y aquéllos de allá 21,50
who's that, please? — ( on telephone) ¿con quién hablo, por favor?
that's impossible/wonderful! — es imposible/maravilloso!
is that so? — no me digas!, ¿ah, sí?
don't talk like that! — no hables así!, no digas eso!
eat it up now, that's a good girl! — vamos, cómetelo todo así me gusta!
come on, it's not as bad as all that — vamos, que no es para tanto
2) (in phrases)at that they all burst out laughing — al oír (or ver etc) eso, todos se echaron a reír
he has enormous power and wealth, but is still unhappy for all that — tiene mucho poder y muchas riquezas, pero aún así es infeliz
that is: we're all going, all the adults, that is vamos todos, es decir, todos los adultos; you're welcome to come along, that is, if you'd like to encantados de que vengas, siempre que quieras venir, claro; that's it!: that's it for today eso es todo por hoy; is that it? - no, there's another bag to come ¿ya está? - no, todavía falta otra bolsa; now lift your left arm: that's it! ahora levanta el brazo izquierdo eso es! or ahí está!; that's it: I've had enough! se acabó! ya no aguanto más!; that's that: you're not going and that's that! — no vas y no hay más que hablar or y se acabó
3) [ðət], strong form [ðæt] ( relative) queit wasn't Helen (that) you saw — no fue a Helen a quien viste, no fue a Helen que viste (AmL)
II [ðæt]those — esos, esas; (to refer to something more distant, to the remote past) aquel, aquella
those — aquellos, aquellas
do you know that boy/girl? — ¿conoces a ese chico/esa chica?
I prefer that one — prefiero ése/ésa
III [ðət], strong form [ðæt]conjunction queshe said (that)... — dijo que...
it's not that I mind what he does but... — no es que me importe lo que hace, pero...
they died that others might live — (liter) murieron para que otros pudieran vivir
IV [ðæt]adverb tanten thirty? that late already? — ¿las diez y media? ¿ya es tan tarde?
I'm not that interested, really — la verdad es que no me interesa tanto
-
20 Ramsden, Jesse
SUBJECT AREA: Mechanical, pneumatic and hydraulic engineering[br]b. 6 October 1735 (?) Halifax, Yorkshire, Englandd. 5 November 1800 Brighton, Sussex, England[br]English instrument-maker who developed machines for accurately measuring angular and linear scales.[br]Jesse Ramsden was the son of an innkeeper but received a good general education: after attending the free school at Halifax, he was sent at the age of 12 to his uncle for further study, particularly in mathematics. At the age of 16 he was apprenticed to a cloth-worker in Halifax and on completion of the apprenticeship in 1755 he moved to London to work as a clerk in a cloth warehouse. In 1758 he became an apprentice in the workshop of a London mathematical instrument-maker named Burton. He quickly gained the skill, particularly in engraving, and by 1762 he was able to set up on his own account. He married in 1765 or 1766 the youngest daughter of the optician John Dollond FRS (1706– 61) and received a share of Dollond's patent for making achromatic lenses.Ramsden's experience and reputation increased rapidly and he was generally regarded as the leading instrument-maker of his time. He opened a shop in the Haymarket and transferred to Piccadilly in 1775. His staff increased to about sixty workers and apprentices, and by 1789 he had constructed nearly 1,000 sextants as well as theodolites, micrometers, balances, barometers, quadrants and other instruments.One of Ramsden's most important contributions to precision measurement was his development of machines for obtaining accurate division of angular and linear scales. For this work he received a premium from the Commissioners of the Board of Longitude, who published his descriptions of the machines. For the trigonometrical survey of Great Britain, initiated by General William Roy FRS (1726–90) and continued by the Board of Ordnance, Ramsden supplied a 3 ft (91 cm) theodolite and steel measuring chains, and was also engaged to check the glass tubes used to measure the fundamental base line.[br]Principal Honours and DistinctionsFRS 1786; Royal Society Copley Medal 1795. Member, Imperial Academy of St Petersburg 1794. Member, Smeatonian Society of Civil Engineers 1793.Bibliography1774, Description of a New Universal Equatorial Instrument, London; repub. 1791. 1777, Description of an Engine for Dividing Mathematical Instruments, London. 1779, Description of an Engine for Dividing Straight Lines on MathematicalInstruments, London.1779, "Description of two new micrometers", Philosophical Transactions of the Royal Society 69:419–31.1782, "A new construction of eyeglasses for such telescopes as may be applied to mathematical instruments", Philosophical Transactions of the Royal Society 73:94–99.Further ReadingR.S.Woodbury, 1961, History of the Lathe to 1850, Cleveland, Ohio; W.Steeds, 1969, A History of Machine Tools 1700–1910, Oxford (both provide a brief description of Ramsden's dividing machines).RTS
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