Application Structure Description

1) Компьютерная техника: Apple Service Diagnostic, Application Specific Discretes, Application Structure Description, Automatic Skip Driver

2) Авиация: accelerate stop distance, airline service data collection, auto shut down

3) Медицина: amniotic sac diameter, atrial septal defect, arterial sclerotic disease (атеросклеротическое поражение сосудов), acute stress disorder

4) Американизм: (NII) Assistant Secretary of Defense (National Information Infrastructure)

5) Военный термин: AWIS Software Development, Advanced Scenario Design, Advanced Systems Department, Air South Europe Directive, Air-worthiness Substantiation Document, Ammunition Storage Depot, Armament Supply Department, Armament Systems Division, Army shipping document, Army supply deport, Assigned Software Developer, Assigned Systems Developer, Assistant Secretary of Defense, Assistant Secretary of Defense, Administration, Assistant Secretary of Defense, Atomic Energy, Assistant Secretary of Defense, Civil ASTSECAF, Assistant Secretary of Air Force, Assistant Secretary of Defense, Civil Defense, Assistant Secretary of Defense, Command, Control, Communications and Intelligence, Assistant Secretary of Defense, Comptroller, Assistant Secretary of Defense, Health Affairs, Assistant Secretary of Defense, Health and Environment, Assistant Secretary of Defense, Installations and Logistics, Assistant Secretary of Defense, Intelligence, Assistant Secretary of Defense, Intelligence, Telecommunications, Command and Control, Assistant Secretary of Defense, International Security Affairs, Assistant Secretary of Defense, International Security Policy, Assistant Secretary of Defense, Legislative Affairs, Assistant Secretary of Defense, Management and Finance, Assistant Secretary of Defense, Manpower, Assistant Secretary of Defense, Properties and Installations, Assistant Secretary of Defense, Public Affairs, Assistant Secretary of Defense, Research and Advanced Technology, Assistant Secretary of Defense, Research and Development, Assistant Secretary of Defense, Research and Engineering, Assistant Secretary of Defense, Supply and Logistics, Assistant Secretary of Defense, Systems Analysis, Assistant Secretary of Defense, Telecommunications, Assistant secretary of Defense, Manpower and Reserve Affairs, Assistant secretary of Defense, Manpower, Personnel, and Reserves, Assistant secretary of Defense, Manpower, Reserve Affairs and Logistics, Automatic Shut Down, administrative survey detachment, advanced submarine detection, advanced supply depot, advanced surveillance drone, aerospace defense, air support director, air surveillance drone, aircraft statistical data, ammunition subdepot, ammunition supply depot, antisatellite defense, area support detachment, arm/safe device, artillery spotting division, assignment selection date, audio simulation device, aviation service date, aviation supply depot, ПМО, помощник министра обороны, (C4I) Assistant Secretary of Defense (Command, Control, Communications, Computers and Intelligence), (ISA) Assistant Secretary of Defense for International Security Affairs, (S&R) Assistant Secretary of Defense for Strategy and Requirements, (SO/LIC) Assistant Secretary of Defense for Special Operations and Low Intensity Conflict, (HA) Assistant Secretary of Defense for Health Affairs, (MRA&L) Assistant Secretary of Defense for Manpower, Reserve Affairs, and Logistics, (NII) Assistant Secretary of Defense, Networks & Information Integration, (PA&E) Assistant Secretary of Defense for Program Analysis and Evaluation

6) Техника: Ancient Steel Design, acceleration spectral density, adjustable speed drive, advanced sensor demonstration, air situation display, atmospheric steam dump, automatic synchronized discriminator, конструирование с учётом допускаемых напряжений (Allowable Stress Design)

7) Шутливое выражение: Agonizingly Slow and Determined

8) Метеорология: Another Sunny Day

9) Автомобильный термин: automatic shutdown relay

10) Ветеринария: Action for Singapore Dogs

11) Телекоммуникации: Alternative Service Delivery

12) Сокращение: Advanced System Development, Aeronautical Systems Division (Now known as Aeronautical Systems Center (USAF)), Air Space Devices, Alternative Service Delivery (Canadian Air Command), Assistant Secretary of Defense, Health Affairs (USA; HA), Average Sortie Duration, Assistant Secretary of Defense (USA; C; Comptroller), Assistant Secretary of Defense (USA; PA; Public Affairs), структурная база данных приложения (Application Structure Database (Microsoft)), Нарушения аутистичного спектра (Autistic Spectrum Disorder)

13) Физика: Active Surface Definition

14) Физиология: Advanced Senility Disease, Anterior Segment Dysgenesis, Autism Spectrum Disorder, Autism Spectrum Disorders, Autistic Spectrum Disorder

15) Вычислительная техника: Architecture Summary Design

16) Транспорт: Aircraft Situation Display, Azimuth Stern Drive

17) Воздухоплавание: Aeronautical Systems Division

18) Фирменный знак: Accelerator Systems Division, Advanced Strategy Division

19) Деловая лексика: Authorized Solutions Developer

20) Образование: After School Detention

21) Сетевые технологии: automated software distribution, автоматизированное распространение программного обеспечения

22) Программирование: application-specific discretes

23) Автоматика: абсолютное снижение содержания серы (absolute sulphur reduction)

24) Химическое оружие: Assistant Secretary of Defense (for International Security Policy), (C3I) Assistant Secretary of Defense for Command, Control, Communications, and Intelligence, (ES) Assistant Secretary of Defense for Economic Security, Office of the Under Secretary of Defense for Acquisition and Technology, (PA&E) Assistant Secretary of Defense for Program Analysis and Evaluation, (S&TR) Assistant Secretary of Defense for Strategy and Threat Reduction

25) Расширение файла: Astound Presentation file, Lotus 1-2-3 Screen Driver, Word for Windows AutoSave file, Application Structure Database (Microsoft), Automatic Skip Driver (Microsoft)

26) Имена и фамилии: Albert S Davis

27) Чат: A Silly Dementor, Alt Support Depression, Another Silly Disorder

28) NYSE. American Standard Companies, Inc., of Delaware

29) Хобби: American Society Of Dowsers

30) Базы данных: Action Semantic Description

1) Компьютерная техника: Apple Service Diagnostic, Application Specific Discretes, Application Structure Description, Automatic Skip Driver

2) Авиация: accelerate stop distance, airline service data collection, auto shut down

3) Медицина: amniotic sac diameter, atrial septal defect, arterial sclerotic disease (атеросклеротическое поражение сосудов), acute stress disorder

4) Американизм: (NII) Assistant Secretary of Defense (National Information Infrastructure)

5) Военный термин: AWIS Software Development, Advanced Scenario Design, Advanced Systems Department, Air South Europe Directive, Air-worthiness Substantiation Document, Ammunition Storage Depot, Armament Supply Department, Armament Systems Division, Army shipping document, Army supply deport, Assigned Software Developer, Assigned Systems Developer, Assistant Secretary of Defense, Assistant Secretary of Defense, Administration, Assistant Secretary of Defense, Atomic Energy, Assistant Secretary of Defense, Civil ASTSECAF, Assistant Secretary of Air Force, Assistant Secretary of Defense, Civil Defense, Assistant Secretary of Defense, Command, Control, Communications and Intelligence, Assistant Secretary of Defense, Comptroller, Assistant Secretary of Defense, Health Affairs, Assistant Secretary of Defense, Health and Environment, Assistant Secretary of Defense, Installations and Logistics, Assistant Secretary of Defense, Intelligence, Assistant Secretary of Defense, Intelligence, Telecommunications, Command and Control, Assistant Secretary of Defense, International Security Affairs, Assistant Secretary of Defense, International Security Policy, Assistant Secretary of Defense, Legislative Affairs, Assistant Secretary of Defense, Management and Finance, Assistant Secretary of Defense, Manpower, Assistant Secretary of Defense, Properties and Installations, Assistant Secretary of Defense, Public Affairs, Assistant Secretary of Defense, Research and Advanced Technology, Assistant Secretary of Defense, Research and Development, Assistant Secretary of Defense, Research and Engineering, Assistant Secretary of Defense, Supply and Logistics, Assistant Secretary of Defense, Systems Analysis, Assistant Secretary of Defense, Telecommunications, Assistant secretary of Defense, Manpower and Reserve Affairs, Assistant secretary of Defense, Manpower, Personnel, and Reserves, Assistant secretary of Defense, Manpower, Reserve Affairs and Logistics, Automatic Shut Down, administrative survey detachment, advanced submarine detection, advanced supply depot, advanced surveillance drone, aerospace defense, air support director, air surveillance drone, aircraft statistical data, ammunition subdepot, ammunition supply depot, antisatellite defense, area support detachment, arm/safe device, artillery spotting division, assignment selection date, audio simulation device, aviation service date, aviation supply depot, ПМО, помощник министра обороны, (C4I) Assistant Secretary of Defense (Command, Control, Communications, Computers and Intelligence), (ISA) Assistant Secretary of Defense for International Security Affairs, (S&R) Assistant Secretary of Defense for Strategy and Requirements, (SO/LIC) Assistant Secretary of Defense for Special Operations and Low Intensity Conflict, (HA) Assistant Secretary of Defense for Health Affairs, (MRA&L) Assistant Secretary of Defense for Manpower, Reserve Affairs, and Logistics, (NII) Assistant Secretary of Defense, Networks & Information Integration, (PA&E) Assistant Secretary of Defense for Program Analysis and Evaluation

6) Техника: Ancient Steel Design, acceleration spectral density, adjustable speed drive, advanced sensor demonstration, air situation display, atmospheric steam dump, automatic synchronized discriminator, конструирование с учётом допускаемых напряжений (Allowable Stress Design)

7) Шутливое выражение: Agonizingly Slow and Determined

8) Метеорология: Another Sunny Day

9) Автомобильный термин: automatic shutdown relay

10) Ветеринария: Action for Singapore Dogs

11) Телекоммуникации: Alternative Service Delivery

12) Сокращение: Advanced System Development, Aeronautical Systems Division (Now known as Aeronautical Systems Center (USAF)), Air Space Devices, Alternative Service Delivery (Canadian Air Command), Assistant Secretary of Defense, Health Affairs (USA; HA), Average Sortie Duration, Assistant Secretary of Defense (USA; C; Comptroller), Assistant Secretary of Defense (USA; PA; Public Affairs), структурная база данных приложения (Application Structure Database (Microsoft)), Нарушения аутистичного спектра (Autistic Spectrum Disorder)

13) Физика: Active Surface Definition

14) Физиология: Advanced Senility Disease, Anterior Segment Dysgenesis, Autism Spectrum Disorder, Autism Spectrum Disorders, Autistic Spectrum Disorder

15) Вычислительная техника: Architecture Summary Design

16) Транспорт: Aircraft Situation Display, Azimuth Stern Drive

17) Воздухоплавание: Aeronautical Systems Division

18) Фирменный знак: Accelerator Systems Division, Advanced Strategy Division

19) Деловая лексика: Authorized Solutions Developer

20) Образование: After School Detention

21) Сетевые технологии: automated software distribution, автоматизированное распространение программного обеспечения

22) Программирование: application-specific discretes

23) Автоматика: абсолютное снижение содержания серы (absolute sulphur reduction)

24) Химическое оружие: Assistant Secretary of Defense (for International Security Policy), (C3I) Assistant Secretary of Defense for Command, Control, Communications, and Intelligence, (ES) Assistant Secretary of Defense for Economic Security, Office of the Under Secretary of Defense for Acquisition and Technology, (PA&E) Assistant Secretary of Defense for Program Analysis and Evaluation, (S&TR) Assistant Secretary of Defense for Strategy and Threat Reduction

25) Расширение файла: Astound Presentation file, Lotus 1-2-3 Screen Driver, Word for Windows AutoSave file, Application Structure Database (Microsoft), Automatic Skip Driver (Microsoft)

26) Имена и фамилии: Albert S Davis

27) Чат: A Silly Dementor, Alt Support Depression, Another Silly Disorder

28) NYSE. American Standard Companies, Inc., of Delaware

29) Хобби: American Society Of Dowsers

30) Базы данных: Action Semantic Description

- absolute language

1 skeleton.

menear o mover el esqueleto (informal) to boogie (on down)

estar como un esqueleto to be skin and bone

2 framework.

3 blank form, blank application, application form, fill-out form.

* * *

► nombre masculino

1 ANATOMÍA skeleton

2 ARQUITECTURA framework

\

mover el esqueleto familiar to boogie, party on down

* * *

1) skeleton

2) framework

* * *

1) (Anat) skeleton

- menear o mover el esqueleto

- tumbar el esqueleto

2) (=estructura) [gen] skeleton; (=de asunto) bare bones pl ; [de edificio] framework; [de conferencia, novela] framework, structure

3) Chile (Literat) (=borrador) rough draft, outline

4) And, CAm, Méx (=formulario) form

* * *

1)

a) (Anat) skeleton

b) (de edificio, novela) framework

2) (Méx) ( formulario) blank form

* * *

= skeleton.

Ex. A description of the main subject areas forms the skeleton of the main list of terms.

----

* esqueleto muscular = muscular-skeletal.

* estar hecho un esqueleto = be a bag of bones.

* menear el esqueleto = trip the light fantastic.

* mover el esqueleto = trip the light fantastic.

* * *

1)

a) (Anat) skeleton

b) (de edificio, novela) framework

2) (Méx) ( formulario) blank form

* * *

* * *

1 ( Anat) skeleton

estar hecho un esqueleto ( fam hum); to be all skin and bone(s) ( colloq)

menear or mover el esqueleto ( fam hum); to shake a leg ( colloq hum), to strut o shake one's stuff ( colloq)

moverle el esqueleto a algn ( RPl fam); to give sb a beating ( colloq)

2 (estructura — de un edificio) framework; (— de una novela, un discurso) framework, structure

B ( Méx) (formulario) blank form

* * *

a) (Anat) skeleton

b) (de edificio, novela) framework

* * *

esqueleto nm

1. [de persona, animal] skeleton;

menear o [m5] mover el esqueleto to boogie (on down)

2. [armazón] [de edificio] framework;

3. Fam [persona muy delgada] skeleton;

estar como un o [m5] hecho un esqueleto to be like a skeleton, to be skin and bones

4. CAm, Col, Méx [formulario] form

5. Col [camiseta] Br vest, US undershirt

* * *

1 ANAT skeleton;

ser un esqueleto, estar en el esqueleto be a walking skeleton;

mover o

menear el esqueleto hum shake a leg, dance

esqueleto (arquitectónico) framework

3 Méx, C.Am., Pe, Bol fig

blank form

* * *

esqueleto nm

1) : skeleton

2) armazón: framework

* * *

esqueleto n (anatomía) skeleton

1 simple, uncomplicated, easy, with no frills.

2 simple, simplehearted, naive, simpleminded.

3 simple, unadorned, with no frills.

4 single, simple.

5 one-way, single-track, unidirectional.

1 small change, change, small coins.

2 one way ticket.

* * *

► adjetivo

1 (sin adornos) simple, plain

■ es un vestido sencillo it's a simple dress

2 (fácil) simple, easy

■ es muy sencillo it's very easy

3 (no compuesto) single

4 figurado (persona - natural) natural, unaffected, unpretentious; (- ingenua) naive, gullible

* * *

1) simple, easy

2) plain

3) single

4) straightforward

* * *

1. ADJ

1) [costumbre, estilo, ropa] simple

2) [asunto, problema] simple, straightforward

3) (=no afectado) natural, unaffected

4) [billete] single

5) LAm (=necio) foolish

2. SM

1) (=disco) single

2) LAm (=cambio) small change

* * *

- lla adjetivo

1)

a) <ejercicio/problema> simple, straightforward

b) < persona> modest, unassuming; <vestido/estilo> simple, plain; <casa/comida> simple, modest

2) (Esp, Méx) < billete> one-way (AmE), single (BrE)

1) ( disco) single

2) (AmL) ( dinero suelto) change

3) (Esp, Méx) (Transp) one-way ticket (AmE), single (ticket) (BrE)

* * *

= humble [humbler -comp., humblest -sup.], plain [plainer -comp., plainest -sup.], simple [simpler -comp., simplest -sup.], straight [straighter -comp., straightest -sup.], straightforward, unadorned, bald, unobtrusive, low-key [low key], uncluttered, unsophisticated, unpretentious, unassuming, folksy [folksier -comp., folksiest -sup.], homespun, unfussy, uncomplicated, uncomplicatedly, low-keyed, no-frills, hassle-free.

Ex. In spite of much complexity, they perform reliably; witness the humble typewriter, or the movie camera or the automobile.

Ex. He went on to explain that while there were no unsightly slums, there was a fairly large district of rather nondescript homes intermingled with plain two- and three-family brick and frame dwellings, principally in the eastern reaches of the city.

Ex. Some simple measures of index effectiveness are introduced here so that it is possible to consider different indexing methods critically.

Ex. Thus these indexes contain more entries than a straight KWIC index and are inclined to be relatively bulky.

Ex. Even in this apparently straightforward situation, complications can arise.

Ex. Concrete illustrations are always better than unadorned abstract description.

Ex. This text contains its share of irrelevant allusions included by authors 'to add artistic verisimilitude to a bald and otherwise unconvincing narrative', to quote another favourite source.

Ex. New technologies will enable interfaces composed of unobtrusive physiological monitors and prosthetics.

Ex. Activity is still low key, but will increase when the British Library puts up data bases on its own computer in 1977.

Ex. Google, the search engine, became popular because of its efficiency, simple structure uncluttered by advertising and its non-commercial look and feel.

Ex. Here is a clear indication of the extent, during the eighteenth century, to which the unsophisticated reader lagged behind his middle class compatriots = Aquí tenemos una clara indicación del grado en el que, durante el siglo dieciocho, el lector normal iba por detrás de sus compatriotas de clase media.

Ex. There is a need for unpretentious, informative manuals which help readers to play bowls, arrange flowers, decorate the house, and the like.

Ex. The term 'librarian' may confer the impression of being a quiet, respectable and unassuming person and consequently be useful on insurance forms, passports and rental agreements.

Ex. The best path, the film implies, is a middle way, combining worldliness with a folksy morality, one that respects family and individual alike.

Ex. The author chronicles the exuberant stories, hyperbole, homespun speech and demigod characteristics of American 'tall tales'.

Ex. Above all the journal wishes to provide research and comment in a form that is easily and quickly understood: a fresh, rigorous, but unfussy, writing style is what is aimed for.

Ex. It is an example of an uncomplicated but practical and successful artificial intelligence application.

Ex. Children which lack reading experience should be presented with a sequence of shorter, very directly told, and uncomplicatedly structured books, rather than with denser and more subtle texts.

Ex. Overall, he provides a low-keyed, lucid account that, with its many-leveled approach, does more than justice to the complex themes it studies.

Ex. This is a good guide for independent travellers looking for cheap, no-frills intercity transport around the country.

Ex. Cooking dry beans in the crockpot makes them relatively hassle-free.

----

* codificación directa de fila sencilla = single row direct coding.

* de una manera más sencilla = in digestible form.

* disco sencillo = single.

* habitación sencilla = single room.

* * *

- lla adjetivo

1)

a) <ejercicio/problema> simple, straightforward

b) < persona> modest, unassuming; <vestido/estilo> simple, plain; <casa/comida> simple, modest

2) (Esp, Méx) < billete> one-way (AmE), single (BrE)

1) ( disco) single

2) (AmL) ( dinero suelto) change

3) (Esp, Méx) (Transp) one-way ticket (AmE), single (ticket) (BrE)

* * *

* * *

1 ‹ejercicio/problema› simple, straightforward

no era sencillo hacerlos entrar it wasn't easy o it was no simple task getting them in

2 ‹persona› modest, unassuming; ‹vestido/estilo› simple, plain; ‹casa/comida› simple, modest

son gentes sencillas y trabajadoras they are simple, hardworking people

el disco es sencillote y comercial the record is unsophisticated o crude and commercial

1 ‹flor› single

2 (único) single

una escopeta de cañón sencilla a single-barreled gun

coser con hilo sencillo to sew with single thread

3 (Esp, Méx) ‹billete› one-way ( AmE), single ( BrE)

A (disco) single

B ( AmL) (dinero suelto) change

C (Esp, Méx) (billete de ida) one-way ticket ( AmE), single ( BrE), single ticket ( BrE)

* * *

◊ - lla adjetivo

a) ‹ejercicio/problema› simple, straightforward;

◊ no fue sencillo hacerlos entrar it wasn't easy getting them in

b) ‹ persona› modest, unassuming;

* * *

♦ adj

1. [fácil] simple;

no fue sencillo convencerla it was not easy to convince her

2. [sin lujo] [decoración, vestido] simple

3. [claro, natural] [lenguaje, estilo] simple

4. [campechano] natural, unaffected;

es muy sencillo en el trato he's very natural o unaffected

5. [billete] Br single, US one-way

6. [no múltiple] single;

habitación sencilla single room

♦ nm

1. [disco] single

2. Andes, CAm, Méx Fam [cambio] loose change

* * *

I adj simple;

gente(s) sencilla(s) simple people

II m

1 L.Am.

small change

2 en béisbol base hit

* * *

sencillo, - lla adj

1) : simple, easy

2) : plain, unaffected

3) : single

sencillo nm

1) : single (recording)

2) : small change (coins)

3) : one-way ticket

* * *

sencillo adj (en general) simple

1 simple (sin componentes).

2 simple (sencillo, tonto).

3 simple, easy.

es muy simple, metes la moneda y ya está it's quite simple, all you have to do is insert the coin

4 mere (mero).

por simple estupidez through sheer stupidity

nos basta con su simple palabra his word is enough for us by itself

no le pedí más que un simple favor all I asked him for was a favor

5 prime (Mat).

simpleton (person).

* * *

► adjetivo

1 (gen) simple

2 (único) single, just one

■ con una simple llamada lo hubiera arreglado he could have settled it with just one phone call

3 (mero) mere

4 (persona) simple, simple-minded

► nombre masulino o femenino

1 simpleton

► nombre masculino

1 (tenis) singles plural

\

por simple descuido through sheer carelessness

* * *

1) mere

2) simple

* * *

1. ADJ

1) (=sin adornos) [peinado, objeto] simple; [vestido, decoración] plain

2) [método] simple, easy, straightforward

3) [antes de sustantivo] (=mero) mere

4) [antes de sustantivo] (=corriente) ordinary

5) [persona] (=sin complicaciones) simple; (=crédulo) gullible; pey (=de pocas luces) simple-minded

6) (Ling, Quím) simple

7) (Bot) single

SMF (=persona) simpleton

SMPL pl simples (Tenis) singles; (Bot) simples

* * *

1)

a) (sencillo, fácil) <sistema/procedimiento> simple

b) (Quím) < sustancia> simple

c) (Ling) < tiempo> simple

2) (delante del n) ( mero) simple

3) ( tonto) simple, simple-minded

masculino y femenino simpleton

* * *

= mere, non-intellectual, pure [pure -comp., purest -sup.], sheer [sheerer -comp., sheerest -sup.], simple [simpler -comp., simplest -sup.], single, straight [straighter -comp., straightest -sup.], straightforward, unadorned, low-key [low key], schematic, simple-minded, uncluttered, unsophisticated, naked, unfussy, uncomplicated, uncomplicatedly, low-keyed, hassle-free, no-brainer.

Ex. Contextual logic or proximity operators: these are a useful means of searching for more than the mere occurrence of a term; they also permit the searcher to specify the context in which the term should appear in some sense or other.

Ex. The picture of the self-improvement-oriented readers contrasts sharply with the typical adult user who asks quite non-intellectual questions at the reference desk.

Ex. The notation used in DC is pure, and numbers.

Ex. The sheer bulk of the headings and the complexity of references structures is sufficient to confirm that a more systematic approach might prove fruitful.

Ex. Some simple measures of index effectiveness are introduced here so that it is possible to consider different indexing methods critically.

Ex. Equally important was the desire to achieve a single text.

Ex. Thus these indexes contain more entries than a straight KWIC index and are inclined to be relatively bulky.

Ex. Even in this apparently straightforward situation, complications can arise.

Ex. Concrete illustrations are always better than unadorned abstract description.

Ex. Activity is still low key, but will increase when the British Library puts up data bases on its own computer in 1977.

Ex. None of this is ever as schematic and neatly arranged, step-by-step, as my discussion of it here makes it seem = Nunca nada de esto es tan simple, bien ordenado y secuencial como lo hago parecer.

Ex. Granted the seemingly simple-minded examples that have been used, such as changing NEGROES to AFRO-AMERICANS and BLACKS, appear fairly straightforward.

Ex. Google, the search engine, became popular because of its efficiency, simple structure uncluttered by advertising and its non-commercial look and feel.

Ex. Here is a clear indication of the extent, during the eighteenth century, to which the unsophisticated reader lagged behind his middle class compatriots = Aquí tenemos una clara indicación del grado en el que, durante el siglo dieciocho, el lector normal iba por detrás de sus compatriotas de clase media.

Ex. Everything in this book is set down without reference to context, or author's intention, or the naked facts and figures, or the difference between one kind of writing and reading and another.

Ex. Above all the journal wishes to provide research and comment in a form that is easily and quickly understood: a fresh, rigorous, but unfussy, writing style is what is aimed for.

Ex. It is an example of an uncomplicated but practical and successful artificial intelligence application.

Ex. Children which lack reading experience should be presented with a sequence of shorter, very directly told, and uncomplicatedly structured books, rather than with denser and more subtle texts.

Ex. Overall, he provides a low-keyed, lucid account that, with its many-leveled approach, does more than justice to the complex themes it studies.

Ex. Cooking dry beans in the crockpot makes them relatively hassle-free.

Ex. Recycling is a no-brainer since it conserves our natural resources and reduces air pollution.

----

* a simple vista = by the naked eye, superficially, on first thought.

* búsqueda simple = simple search.

* de una forma simple = in a simple manner.

* de una manera simple = in a simple manner.

* hacerle la vida más simple a todos = simplify + life for everyone.

* interés simple = simple interest.

* las cosas no son tan simples como parecen = there's more to it than meets the eye.

* por simple curiosidad = (just) as a mater of interest, just out of interest.

* simple ciudadano, el = man-on-the-street, man in the street, the.

* simple mortal = lesser mortal.

* simple y llanamente = just plain, plainly and simply.

* tan simple como = with as little ado as.

* unidad simple = singleton.

* * *

1)

a) (sencillo, fácil) <sistema/procedimiento> simple

b) (Quím) < sustancia> simple

c) (Ling) < tiempo> simple

2) (delante del n) ( mero) simple

3) ( tonto) simple, simple-minded

masculino y femenino simpleton

* * *

* * *

1 (sencillo, fácil) ‹sistema/procedimiento› simple

el mecanismo no puede ser más simple the mechanism couldn't be (any) simpler o more straightforward

la solución es muy simple the solution is very simple

es una dieta simple pero completa it's a simple but complete diet

llanamente

2 ( Quím) ‹sustancia› simple

3 ( Ling) ‹tiempo› simple

B ( delante del n) (mero) simple

un simple error puede causar un accidente a simple mistake can cause an accident

no es más que un simple resfriado it's just a common cold

era un simple soldado he was an ordinary soldier

vista² (↑ vista (2))

C (tonto, bobo) simple, simple-minded

es muy simple, pero buena persona he's rather simple o simple-minded, but he's a nice person

no seas simple ¿no ves que así no haces nada? don't be silly o ( BrE colloq) daft, can't you see you won't get anywhere like that?

simpleton

* * *

◊ el simple hecho de … the simple fact of …;

* * *

♦ adj

1. [sencillo, tonto] simple

2. [fácil] easy, simple;

es muy simple, metes la moneda y ya está it's quite simple, all you have to do is insert the coin

3. [sin complicación] simple;

una decoración simple a simple decoration

4. [único, sin componentes] single;

dame una simple razón give me one single reason

5. [mero]

no le pedí más que un simple favor I merely asked her a favour;

nos basta con su simple palabra his word is enough for us by itself;

por simple estupidez through sheer stupidity

6. Mat prime

7. Quím simple

8. Ling [verbo] simple

♦ nmf

* * *

I adj

1 ( fácil) simple

2 ( mero) ordinary

II m/f simpleton

* * *

simple adj

1) sencillo: plain, simple, easy

2) : pure, mere

por simple vanidad: out of pure vanity

3) : simpleminded, foolish

simple n

: fool, simpleton

* * *

simple adj

1. (sencillo) simple

2. (solamente) just

1) язык

а) естественный язык, средство человеческого общения

б) система знаков, жестов или сигналов для передачи или хранения информации

в) стиль

г) речь

д) язык программирования

2) языкознание, лингвистика

•

- abstract machine language

- algebraic logic functional language

- algorithmic language

- amorhic language

- axiomatic architecture description language

- basic combined programming language

- block-structured language

- boundary scan description language

- business-oriented language

- categorical abstract machine language

- cellular language

- computer hardware description language

- computer-independent language

- configuration language

- context-free language

- data definition language

- data description language

- data manipulation language

- document style semantics and specification language

- domain-specific language

- dynamic hypertext markup language

- dynamic simulation language

- extensible hypertext markup language

- extensible markup language

- fabricated language

- fifth-generation language

- first-generation language

- formal language

- fourth-generation language

- frame language

- function graph language

- geometrical layout description language

- graphics language

- hardware description language

- Hewlett-Packard graphics language

- Hewlett-Packard printer control language

- high-level language

- hypertext markup language

- hypertext markup language plus

- interactive set language

- intermediate language

- Java interface definition language

- Java language

- job control language

- Jules' own version of the international algorithmic language

- knowledge query and manipulation language

- left-associative language

- man-machine language

- mathematical markup language

- matrix-based programming language

- my favorite toy language

- native language

- network control language

- network description language

- noninteractive language

- page description language

- parallel object-oriented language

- partial differential equation language

- pattern-matching language

- practical extraction and report language

- prescriptive language

- second-generation language

- sense language

- server-parsed hypertext markup language

- set language

- simulation language

- specification and assertion language

- stack-based language

- standard generalized markup language

- statically scoped language

- string-oriented symbolic language

- string-processing language

- structural design language

- structured query language

- subset language

- symbolic layout description language

- synchronized multimedia integration language

- target language

- third-generation language

- threaded language

- very-high-speed integrated circuit hardware description language

- Vienna definition language

- virtual reality modeling language

- visual language

- wireless markup language

1) язык

а) естественный язык, средство человеческого общения

б) система знаков, жестов или сигналов для передачи или хранения информации

в) стиль

г) речь

д) язык программирования

2) языкознание, лингвистика

•

- a hardware programming language

rigoureux, -euse [ʀiguʀø, øz]

   a. rigorous ; [maître] strict

• hiver rigoureux harsh winter

• avoir l'esprit rigoureux to have a rigorous mind

• de façon rigoureuse rigorously

   b. [interdiction] strict

• ce n'est pas une règle rigoureuse it's not a hard-and-fast rule

* * *

- euse ʀiguʀø, øz adjectif

1) [morale, discipline] strict, rigorous; [règlement, personne, application] strict

2) [climat, hiver, conditions de travail] harsh, severe; [froid] severe

3) [observations, recherches, démonstration] meticulous; [analyse, gestion, pensée, argumentation] rigorous

* * *

1) (morale) rigorous, strict

2) (personne) rigorous

3) (climat, châtiment) harsh, severe

4) (interdiction, neutralité) strict

5) (preuves, analyse, méthode) rigorous

* * *

rigoureux, - euse adj

1 ( sévère) [morale, discipline] strict, rigorous; [règlement, personne] strict;

2 ( rude) [climat, saison] harsh, severe; [froid] severe; [température] harsh; [conditions de travail] difficult, hard;

3 ( conduit avec précision) [observations, recherches, démonstration, description] meticulous; [travail] meticulous, scrupulous; [logique, analyse, méthode, sélection, gestion, pensée] rigorous; [argumentation] meticulous, rigorous; [application] strict; de façon rigoureuse rigorously; la construction rigoureuse d'un roman the tight structure of a novel; un raisonnement rigoureux a closely reasoned argument;

4 ( strict) [obéissance, sens] strict; [personne] rigorous; être rigoureux dans ses observations/analyses to be rigorous ou meticulous in one's observations/analysis.

( féminin rigoureuse) [rigurø, øz] adjectif

1. [sévère - personne] severe, rigorous ; [ - sanction] harsh, severe ; [ - principe] strict

2. [scrupuleux - analyse, définition, raisonnement] rigorous ; [ - contrôle] strict ; [ - description] minute, precise ; [ - discipline] strict

3. [rude - climat] harsh

- absolute language

- representation language

- requirement statement language

   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   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)

   5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the Program

   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)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   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)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   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)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   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)

    17) Form and Content Are Not Fundamentally Different

   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)

    20) Mathematical Logic Provides the Basis for Theory in AI

   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)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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)

   1) The Book of Nature Is Written in the Language of Mathematics

   Philosophy is written in that great book, the universe, which is always open, right before our eyes. But one cannot understand this book without first learning to understand the language and to know the characters in which it is written. It is written in the language of mathematics, and the characters are triangles, circles, and other figures. Without these, one cannot understand a single word of it, and just wanders in a dark labyrinth. (Galileo, 1990, p. 232)

   2) Arranging Speech so as to Reply Appropriately

   It never happens that it [a nonhuman animal] arranges its speech in various ways in order to reply appropriately to everything that may be said in its presence, as even the lowest type of man can do. (Descartes, 1970a, p. 116)

   3) No Other Animal Has the Language Capacity of the Human

   It is a very remarkable fact that there are none so depraved and stupid, without even excepting idiots, that they cannot arrange different words together, forming of them a statement by which they make known their thoughts; while, on the other hand, there is no other animal, however perfect and fortunately circumstanced it may be, which can do the same. (Descartes, 1967, p. 116)

   4) Human Beings Do Not Live Only in the World of Objects

   Human beings do not live in the object world alone, nor alone in the world of social activity as ordinarily understood, but are very much at the mercy of the particular language which has become the medium of expression for their society. It is quite an illusion to imagine that one adjusts to reality essentially without the use of language and that language is merely an incidental means of solving specific problems of communication or reflection. The fact of the matter is that the "real world" is to a large extent unconsciously built on the language habits of the group.... We see and hear and otherwise experience very largely as we do because the language habits of our community predispose certain choices of interpretation. (Sapir, 1921, p. 75)

   5) Language Powerfully Conditions All Our Thinking

   It powerfully conditions all our thinking about social problems and processes.... No two languages are ever sufficiently similar to be considered as representing the same social reality. The worlds in which different societies live are distinct worlds, not merely the same worlds with different labels attached. (Sapir, 1985, p. 162)

   6) A List of Language Games

   [A list of language games, not meant to be exhaustive:]

   Giving orders, and obeying them- Describing the appearance of an object, or giving its measurements- Constructing an object from a description (a drawing)Reporting an eventSpeculating about an eventForming and testing a hypothesisPresenting the results of an experiment in tables and diagramsMaking up a story; and reading itPlay actingSinging catchesGuessing riddlesMaking a joke; and telling it

   Solving a problem in practical arithmeticTranslating from one language into another

   LANGUAGE Asking, thanking, cursing, greeting, and praying-. (Wittgenstein, 1953, Pt. I, No. 23, pp. 11 e-12 e)

   7) Language Constrains Certain Modes of Interpretation

   We dissect nature along lines laid down by our native languages.... The world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... No individual is free to describe nature with absolute impartiality but is constrained to certain modes of interpretation even while he thinks himself most free. (Whorf, 1956, pp. 153, 213-214)

   8) We Dissect Nature in Accordance with Our Native Languages

   We dissect nature along the lines laid down by our native languages.

   The categories and types that we isolate from the world of phenomena we do not find there because they stare every observer in the face; on the contrary, the world is presented in a kaleidoscopic flux of impressions which has to be organized by our minds-and this means largely by the linguistic systems in our minds.... We are thus introduced to a new principle of relativity, which holds that all observers are not led by the same physical evidence to the same picture of the universe, unless their linguistic backgrounds are similar or can in some way be calibrated. (Whorf, 1956, pp. 213-214)

   9) The Forms of a Person's Thoughts Are Controlled by Unperceived Patterns of His Own Language

   The forms of a person's thoughts are controlled by inexorable laws of pattern of which he is unconscious. These patterns are the unperceived intricate systematizations of his own language-shown readily enough by a candid comparison and contrast with other languages, especially those of a different linguistic family. (Whorf, 1956, p. 252)

    10) The Analysis of Certain Types of Utterances

   It has come to be commonly held that many utterances which look like statements are either not intended at all, or only intended in part, to record or impart straightforward information about the facts.... Many traditional philosophical perplexities have arisen through a mistake-the mistake of taking as straightforward statements of fact utterances which are either (in interesting non-grammatical ways) nonsensical or else intended as something quite different. (Austin, 1962, pp. 2-3)

    11) The Dictionary of a Language Is a System of Concepts

   In general, one might define a complex of semantic components connected by logical constants as a concept. The dictionary of a language is then a system of concepts in which a phonological form and certain syntactic and morphological characteristics are assigned to each concept. This system of concepts is structured by several types of relations. It is supplemented, furthermore, by redundancy or implicational rules..., representing general properties of the whole system of concepts.... At least a relevant part of these general rules is not bound to particular languages, but represents presumably universal structures of natural languages. They are not learned, but are rather a part of the human ability to acquire an arbitrary natural language. (Bierwisch, 1970, pp. 171-172)

    12) Talk about the Evolution of the Language Capacity is Beside the Point

   In studying the evolution of mind, we cannot guess to what extent there are physically possible alternatives to, say, transformational generative grammar, for an organism meeting certain other physical conditions characteristic of humans. Conceivably, there are none-or very few-in which case talk about evolution of the language capacity is beside the point. (Chomsky, 1972, p. 98)

    13) The Development of Language

   [It is] truth value rather than syntactic well-formedness that chiefly governs explicit verbal reinforcement by parents-which renders mildly paradoxical the fact that the usual product of such a training schedule is an adult whose speech is highly grammatical but not notably truthful. (R. O. Brown, 1973, p. 330)

    14) Sentential and Conceptual Levels in Language

   he conceptual base is responsible for formally representing the concepts underlying an utterance.... A given word in a language may or may not have one or more concepts underlying it.... On the sentential level, the utterances of a given language are encoded within a syntactic structure of that language. The basic construction of the sentential level is the sentence.

   The next highest level... is the conceptual level. We call the basic construction of this level the conceptualization. A conceptualization consists of concepts and certain relations among those concepts. We can consider that both levels exist at the same point in time and that for any unit on one level, some corresponding realizate exists on the other level. This realizate may be null or extremely complex.... Conceptualizations may relate to other conceptualizations by nesting or other specified relationships. (Schank, 1973, pp. 191-192)

    15) Linguistic Realities Have Not Yet Been Captured by Theoretical Models

   The mathematics of multi-dimensional interactive spaces and lattices, the projection of "computer behavior" on to possible models of cerebral functions, the theoretical and mechanical investigation of artificial intelligence, are producing a stream of sophisticated, often suggestive ideas.

   But it is, I believe, fair to say that nothing put forward until now in either theoretic design or mechanical mimicry comes even remotely in reach of the most rudimentary linguistic realities. (Steiner, 1975, p. 284)

    16) The Final Steps to Human Language

   The step from the simple tool to the master tool, a tool to make tools (what we would now call a machine tool), seems to me indeed to parallel the final step to human language, which I call reconstitution. It expresses in a practical and social context the same understanding of hierarchy, and shows the same analysis by function as a basis for synthesis. (Bronowski, 1977, pp. 127-128)

    17) The Inadequacy of Formal Linguistic Models for Ordinary Language Usage

    t is the language donn eґ in which we conduct our lives.... We have no other. And the danger is that formal linguistic models, in their loosely argued analogy with the axiomatic structure of the mathematical sciences, may block perception.... It is quite conceivable that, in language, continuous induction from simple, elemental units to more complex, realistic forms is not justified. The extent and formal "undecidability" of context-and every linguistic particle above the level of the phoneme is context-bound-may make it impossible, except in the most abstract, meta-linguistic sense, to pass from "pro-verbs," "kernals," or "deep deep structures" to actual speech. (Steiner, 1975, pp. 111-113)

    18) When a Language Is an Abstract Machine

   A higher-level formal language is an abstract machine. (Weizenbaum, 1976, p. 113)

    19) Metaphor and Metonymy Underpin the Formation of Linguistic Signs

   Jakobson sees metaphor and metonymy as the characteristic modes of binarily opposed polarities which between them underpin the two-fold process of selection and combination by which linguistic signs are formed.... Thus messages are constructed, as Saussure said, by a combination of a "horizontal" movement, which combines words together, and a "vertical" movement, which selects the particular words from the available inventory or "inner storehouse" of the language. The combinative (or syntagmatic) process manifests itself in contiguity (one word being placed next to another) and its mode is metonymic. The selective (or associative) process manifests itself in similarity (one word or concept being "like" another) and its mode is metaphoric. The "opposition" of metaphor and metonymy therefore may be said to represent in effect the essence of the total opposition between the synchronic mode of language (its immediate, coexistent, "vertical" relationships) and its diachronic mode (its sequential, successive, lineal progressive relationships). (Hawkes, 1977, pp. 77-78)

    20) Language and the Analysis of Nature

   It is striking that the layered structure that man has given to language constantly reappears in his analyses of nature. (Bronowski, 1977, p. 121)

    21) Correspondence Rules for Mapping Old Theory into Subsets of New Theory

   First, [an ideal intertheoretic reduction] provides us with a set of rules"correspondence rules" or "bridge laws," as the standard vernacular has it-which effect a mapping of the terms of the old theory (T o) onto a subset of the expressions of the new or reducing theory (T n). These rules guide the application of those selected expressions of T n in the following way: we are free to make singular applications of their correspondencerule doppelgangers in T o....

   Second, and equally important, a successful reduction ideally has the outcome that, under the term mapping effected by the correspondence rules, the central principles of T o (those of semantic and systematic importance) are mapped onto general sentences of T n that are theorems of Tn. (P. Churchland, 1979, p. 81)

    22) The Inclusion of Non- linguistic Factors in a Theory of Grammar

   If non-linguistic factors must be included in grammar: beliefs, attitudes, etc. [this would] amount to a rejection of the initial idealization of language as an object of study. A priori such a move cannot be ruled out, but it must be empirically motivated. If it proves to be correct, I would conclude that language is a chaos that is not worth studying.... Note that the question is not whether beliefs or attitudes, and so on, play a role in linguistic behavior and linguistic judgments... [but rather] whether distinct cognitive structures can be identified, which interact in the real use of language and linguistic judgments, the grammatical system being one of these. (Chomsky, 1979, pp. 140, 152-153)

    23) Language Is Inevitably Influenced by Specific Contexts of Human Interaction

   Language cannot be studied in isolation from the investigation of "rationality." It cannot afford to neglect our everyday assumptions concerning the total behavior of a reasonable person.... An integrational linguistics must recognize that human beings inhabit a communicational space which is not neatly compartmentalized into language and nonlanguage.... It renounces in advance the possibility of setting up systems of forms and meanings which will "account for" a central core of linguistic behavior irrespective of the situation and communicational purposes involved. (Harris, 1981, p. 165)

    24) The Genetic Blueprints of Language

   By innate [linguistic knowledge], Chomsky simply means "genetically programmed." He does not literally think that children are born with language in their heads ready to be spoken. He merely claims that a "blueprint is there, which is brought into use when the child reaches a certain point in her general development. With the help of this blueprint, she analyzes the language she hears around her more readily than she would if she were totally unprepared for the strange gabbling sounds which emerge from human mouths. (Aitchison, 1987, p. 31)

    25) Languages Are Machines

   Looking at ourselves from the computer viewpoint, we cannot avoid seeing that natural language is our most important "programming language." This means that a vast portion of our knowledge and activity is, for us, best communicated and understood in our natural language.... One could say that natural language was our first great original artifact and, since, as we increasingly realize, languages are machines, so natural language, with our brains to run it, was our primal invention of the universal computer. One could say this except for the sneaking suspicion that language isn't something we invented but something we became, not something we constructed but something in which we created, and recreated, ourselves. (Leiber, 1991, p. 8)

² = all-embracing, broad [broader -comp., broadest -sup.], comprehensive, general, large [larger -comp., largest -sup.], sweeping, ubiquitous, umbrella, widespread, pervasive, blanket, all-encompassing, broadly based, wide-ranging [wide ranging], overriding, broad-based [broad based], wide-scale, overarching, received, epidemic, pandemic, wide-angle(d), generalised [generalized, -USA], embracing, encompassing.

Ex. Some databases are very all-embracing in their coverage and attempt to provide comprehensive coverage of entire disciplines.

Ex. This broader consideration of descriptive cataloguing problems serves to set a context for the consideration of cataloguing problems associated with nonbook materials.

Ex. One of the factors to consider in the selection of a data base is whether the data base is comprehensive or not.

Ex. Nevertheless, the fact that these general lists cannot serve for every application has triggered a search for more consistent approaches.

Ex. Serial searching for a string of characters is usually performed on a small subset of a large file.

Ex. Such a statement of objectives may appear narrowly defined in its practices and yet, at the same time, rather sweeping in its assumptions.

Ex. Worldwide, however, the printed book is still the most ubiquitous source of record = Sin embargo, el libro impreso es aún en todo el mundo la fuente de información escrita más común.

Ex. This article describes how an ' umbrella licence' was obtained covering a group of libraries within the region.

Ex. Comment published so far is favourable, but the code still awaits widespread adoption.

Ex. The unease is pervasive, not an occasional outcropping of discontent.

Ex. Likert in no way attempts to make a blanket prescription for employee-centered supervisory styles.

Ex. In publishing itself there is little use made of the all-encompassing schemes such as Dewey or the Library of Congress.

Ex. Library schools are offering broadly based courses with increasing emphasis on technology and information systems, but practising librarians still need the traditional skills.

Ex. The contents of this handbook are comprehensive and wide-ranging.

Ex. Consequently, the overriding demand made by the academic community is bibliographical in nature.

Ex. However, the organisation is well on its way to becoming a broad-based provider of databases and end-user oriented information services in all areas of engineering.

Ex. Without the stimuli of cooperative agencies, many programmes such as wide-scale interlibrary loan would not have developed so rapidly.

Ex. There appears to be an unhealthy tendency among information technology professionals to elevate any single, highly successful practical experience instantly into an overarching paradigm for managerial success.

Ex. It was interesting, in view of the received opinion that 'We don't have many problems round here'.

Ex. The article is entitled 'Acquired immunodeficiency syndrome (AIDS) and the epidemic growth of its literature' = El artículo se titula "El síndrome de inmunodeficiencia adquirida (SIDA) y el crecimiento exponencial de su literatura".

Ex. Test score data were broken down to show that the decline is pandemic throughout the culture & not limited to sex, race, or class variables.

Ex. Except for the principal no one besides the librarian has such a wide-angle view of the school's instructional programme.

Ex. Although it is coy about admitting the fact it is only mentioned twice in the whole of the thirty pages of publicity material it is in effect a generalized and modernized Thesaurofacet: a facetted classification with a thesaurus structure forming an integral part.

Ex. What is needed is an embracing approach to guarantee freedom for Palestine and legitimacy for Israel.

Ex. By drawing Russia into an encompassing coalition with Europe and other powers, the risk of conflict will be diminished.

----

* abogado general = advocate-general.

* Acuerdo General sobre Aranceles y Comercio (GATT) = General Agreement on Tariffs and Trade (GATT).

* anestesia general = general anaesthesia.

* asamblea general = general assembly.

* biblioteca general = general library.

* como norma general = as a general rule of thumb, as a rough guide.

* consenso general = general consensus.

* creencia general = conventional wisdom.

* criterio general = rule of thumb.

* dar una idea general = paint + a broad picture.

* de aplicación general = general-purpose, of general application.

* de forma general = bulk.

* de interés general = of general interest.

* de lo general a lo particular = from the general to the particular.

* de lo particular a lo general = from the particular to the general.

* de propósito general = general-purpose.

* describir en líneas generales = outline.

* desde un punto de vista general = in a broad sense.

* desde un punto de vista más general = in a broader sense.

* designación general de la clase de documento = general material designation.

* de tipo general = broad scoped.

* de un modo muy general = crudely.

* de utilidad general = all-purpose.

* director general = senior director.

* elección general = general election.

* encabezamiento demasiado general = much-too-broad heading.

* encabezamiento informativo general = general explanatory heading.

* en el sentido más general = in the broadest sense.

* en general = at large, by and large, for the most part, generally, in general, in the main, on balance, on the whole, overall, broadly, as a whole, generally speaking.

* en líneas generales = broadly speaking, generally, on the whole, in basic outline, roughly speaking, as a rough guide.

* ensayo general = dress rehearsal.

* en su sentido más general = in its/their broadest sense.

* en términos generales = in broad terms, generally speaking.

* en un sentido general = in a broad sense.

* en un sentido más general = in a broader sense.

* esquema general = outline.

* gobernador general = Governor General.

* hablando en términos generales = loosely speaking.

* idea general = rough idea.

* índice general = general index.

* informe sobre el estado general de las carreteras = road report.

* instrucción general = blanket instruction.

* interés general = public interest.

* la comunidad en general = the community at large.

* la sociedad en general = society at large.

* materia más general = broader subject.

* norma general = rule of thumb.

* Norma General Internacional para la Descripción de Archivvos (ISAD-G) = General International Standard Archival Description (ISAD(G)).

* opinión general = consensus of opinion, conventional wisdom.

* opinión general, la = received wisdom, the.

* parálisis general = general paresis.

* población en general, la = general population, the.

* por lo general = on the whole, all in all, in general, generally, generally speaking, in the normal run of events, in the normal run of things.

* público en general = broader audience, broad audience, broad public, broader public.

* público en general, el = general public, the.

* Secretaría General = Secretariat.

* ser de uso general = be generally available.

* sistema de clasificación general = general scheme.

* Sistema General de Ordenación (SGO) = Broad System of Ordering (BSO).

* una guía general = a rough guide.

* una idea general = a rough guide.

general.

tener nociones generales de griego to have a general knowledge of Greek

esa es la opinión general de los que no leen los periódicos that's what people who don't read the papers usually think

por lo general, en general in general, generally

por lo general, suelo ir en tren I generally go by train, in general I go by train

general (military).

general de brigada brigadier (British), brigadier general (United States)

general de división major general

* * *

► adjetivo

1 general

2 (común) common, usual, widespread

■ es un comportamiento muy general it is a very common sort of behaviour

► nombre masculino

1 (oficial) general

\

en general in general, generally

por lo general in general, generally

* * *

- en general

* * *

1. ADJ

1) (=común, no detallado) general

2)

a) [con verbo] generally, in general

b) [detrás de s] in general

3)

SMF (Mil) general

SM (Rel) general

4. SF

1) (tb: carretera general)

2) (tb: clasificación general) (Ciclismo) general classification

3)

* * *

a) (no específico, global) general

b) (en locs)

masculino y femenino (Mil) general

- general de brigada

* * *

a) (no específico, global) general

b) (en locs)

masculino y femenino (Mil) general

- general de brigada

* * *

general¹

¹ = general.

Nota: Nombre.

general²

² = all-embracing, broad [broader -comp., broadest -sup.], comprehensive, general, large [larger -comp., largest -sup.], sweeping, ubiquitous, umbrella, widespread, pervasive, blanket, all-encompassing, broadly based, wide-ranging [wide ranging], overriding, broad-based [broad based], wide-scale, overarching, received, epidemic, pandemic, wide-angle(d), generalised [generalized, -USA], embracing, encompassing.

* * *

1 (no específico, global) general

el estado general del enfermo the patient's general condition

temas de interés general subjects of general interest

el pronóstico general del tiempo para mañana the general weather forecast for tomorrow

el país está pasando una crisis a nivel general the country as a whole is going through a crisis

me habló del proyecto en líneas generales she gave me a broad outline of the project

un panorama general de la situación an overall view o an overview of the situation

tiene nociones generales de informática he has a general idea about information technology

2 ( en locs):

en general on the whole, in general

¿qué tal el viaje? — en general bien how was the trip? — good, on the whole

en general prefiero el vino blanco on the whole o in general, I prefer white wine

el público en general the general public

¿qué te molesta de él? — todo en general y nada en particular what don't you like about him? — everything and nothing

por lo general: por lo general los domingos nos levantamos tarde we usually o generally get up late on Sundays

por lo general llega a las nueve she usually o generally arrives at nine, she arrives at nine as a rule

por lo general prefiero una novela a un ensayo in general I prefer novels to essays

generales fpl ( Esp) ( Pol) general elections

1 ( Mil) general

2 ( Relig) general

(en el ejército) ≈ major general, brigadier general ( in US), brigadier ( in UK); (en las fuerzas aéreas) ≈ brigadier general ( in US), ≈ air commodore ( in UK)

(en el ejército) ≈ major general; (en las fuerzas aéreas) ≈ major general ( in US), ≈ air vice marshal ( in UK)

* * *

◊ General) Gen.

a) (no específico, global) general;

◊ de interés general of general interest;

b) ( en locs)

◊ en general on the whole, in general;

* * *

♦ adj

1. [común] general;

sólo tengo unas nociones muy generales de griego I only have a very general knowledge of Greek;

esa es la opinión general de los que no leen los periódicos that's what people who don't read the papers usually think;

mi valoración general es negativa my overall opinion of it is negative

2. [en frases]

los candidatos, en general, estaban muy cualificados the candidates were generally very well qualified, in general, the candidates were very well qualified;

en general el clima es seco on the whole, the climate is dry, the climate is generally dry;

¿qué tal te va la vida? – en general, no me puedo quejar how's life treating you? – I can't complain, on the whole;

por lo general, suelo ir en tren I generally go by train, in general I go by train

♦ nm

general de división major general

♦ nf

con su victoria se ha puesto segunda en la general her victory has moved her up to second place in the overall standings

* * *

I adj general;

en general in general;

por lo general usually, generally

II m general

* * *

general adj

1) : general

en general or

por lo general : in general, generally

general nmf

1) : general

general de división : major general

* * *

general¹ adj general

general² n (militar) general

SUBJECT AREA: Chemical technology, Synthetic materials, Textiles

[br]

[br]

[br]

He early showed an aptitude for chemistry and in 1853 entered the Royal College of Chemistry as a student under A.W.von Hofmann, the first Professor at the College. By the end of his first year, he had carried out his first piece of chemical research, on the action of cyanogen chloride on phenylamine, which he published in the Journal of the Chemical Society (1857). He became honorary assistant to von Hofmann in 1857; three years previously he had set up his own chemical laboratory at home, where he had discovered the first of the azo dyes, aminoazonapththalene. In 1856 Perkin began work on the synthesis of quinine by oxidizing a salt of allyl toluidine with potassium dichromate. Substituting aniline, he obtained a dark-coloured precipitate which proved to possess dyeing properties: Perkin had discovered the first aniline dye. Upon receiving favourable reports on the new material from manufacturers of dyestuffs, especially Pullars of Perth, Perkin resigned from the College and turned to the commercial exploitation of his discovery. This proved highly successful. From 1858, the dye was manufactured at his Greenford Green works as "Aniline Purple" or "Tyrian Purple". It was later to be referred to by the French as mauve. Perkin's discovery led to the development of the modern dyestuffs industry, supplanting dyes from the traditional vegetable sources. In 1869, he introduced two new methods for making the red dye alizarin, in place of the process that involved the use of the madder plant (Rubia tinctorum). In spite of German competition, he dominated the British market until the end of 1873. After eighteen years in chemical industry, Perkin retired and devoted himself entirely to the pure chemical research which he had been pursuing since the 1850s. He eventually contributed ninety papers to the Chemical Society and further papers to other bodies, including the Royal Society. For example, in 1867 he published his synthesis of unsaturated organic acids, known as "Perkin's synthesis". Other papers followed, on the structure of "Aniline Purple". In 1881 Perkin drew attention to the magnetic-rotatory power of some of the substances he had been dealing with. From then on, he devoted particular attention to the application of this phenomenon to the determination of chemical structure.

Perkin won wide recognition for his discoveries and other contributions to chemistry.

The half-centenary of his great discovery was celebrated in July 1906 and later that year he received a knighthood.

[br]

1) требование, притязание; притязать

2) утверждение; заявление; утверждать; заявлять

3) претензия

4) формула изобретения, патентная формула

5) пункт формулы изобретения (однозвенная формула изобретения или пункт многозвенной формулы, способный быть объектом самостоятельной охраны)

•

- according to claim

* * *

1 n

COMP&DP archivo m, fichero m

MECH spacecraft escofina f, lima f

PRINT fila f, fichero m

PROD archivo m, expediente m, lima f, fichero m

TELECOM fichero m

VEH lima f