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1 processing facts
Компьютерная техника: обработка фактов -
2 processing facts
English-Russian dictionary of computer science > processing facts
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3 обработка фактов
Computers: processing facts -
4 dato
m.1 piece of information, fact (hecho, cifra).datos (personales) (personal) details2 Dato.pres.indicat.1st person singular (yo) present indicative of spanish verb: datar.* * *1 (información) fact, piece of information, datum■ no pudimos resolver el problema por falta de datos we couldn't solve the problem due to lack of information\datos personales personal details* * *noun m.fact, piece of information- datos* * *SM1) (=información) piece of informationun dato interesante — an interesting fact o piece of information
otro dato que tener en cuenta es... — another thing to bear in mind is...
datos personales — personal details, particulars
2) (Mat) datum* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex. Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.Ex. The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex. Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex. Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex. Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex. A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex. On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.----* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *a) ( elemento de información) piece of informationalguien le pasó el dato a la policía — (CS) somebody informed o (colloq) tipped off the police
darle un dato a alguien — (CS) to give somebody a tip
b) datos masculino plural (Inf) data (pl), information* * *= attribute value, data element, data item, datum [data, -pl.], fact, value, piece of information.Ex: Others have used possibility distributions for representing fuzzily known or incompletely known attribute values.
Ex: The Working Group undertook to determine from the data available what data elements should be included for each type of authority.Ex: Information is held in files or databases, which are comprise of records, which in turn are comprised of fields or data items, which again may be comprised of subfields or data elements.Ex: Thus, having entered the authority datum correctly once, we could be sure that no matter how many bibliographic records used it they would all do so with mechanical consistency.Ex: Other data bases, which may be described as non-bibliographic, and are sometimes known as data banks, store actual facts and figures and text.Ex: A good initial value for this field will start the system off with a good guess so that claims for missing issues are not unreasonable at the beginning.Ex: On other occasions a user wants every document or piece of information on a topic traced, and then high recall must be sought, to the detriment of precision.* alimentar datos = populate.* almacenamiento de datos = data storage.* añadir datos = make + additions.* archivo de datos = database [data base].* área de datos específicos de la clase de documento = material (or type of publication) specific details area.* área de datos matemáticos = mathematical data area.* auditoría de datos = data auditing, data audit.* banco de datos = data bank [databank], factual data bank.* banco de datos factual = factual data bank.* banco de datos terminológico = terminological data bank.* basado en los datos = data-driven.* basado en un gestor de bases de datos = DBMS-based.* base de datos = data bank [databank], database [data base], database software.* base de datos automatizada = computer database, computer-held database, computerised database, machine-readable database.* base de datos bibliográfica = bibliographic database.* base de datos bibliográfica de resúmenes = abstracts based bibliographic database.* base de datos catalográfica = catalogue database.* base de datos completa = full-provision database.* base de datos con información confidencial = intelligence database.* base de datos cruzada = cross database.* base de datos de acceso mediante suscripción = subscription database.* base de datos de autoridades = authority database.* base de datos de carburantes = TULSA.* base de datos de documentos primarios = source database.* base de datos de documentos secundarios = reference database.* base de datos de dominio público = public domain database.* base de datos de educación = ERIC.* base de datos de imágenes = image database, image bank.* base de datos de investigación = research database.* base de datos del gobierno de USA = CRECORD, FEDREG.* base de datos de lógica difusa = fuzzy database.* base de datos de medicina = MEDLINE.* base de datos de negocios = business database.* base de datos de pago = subscription database.* base de datos de patentes = WPI.* base de datos de propiedades = properties database.* base de datos de referencia = reference database.* base de datos de referencia a especialistas = referral database.* base de datos de registros de catálogo = catalogue record database.* base de datos de texto = text-oriented database, text database.* base de datos de texto completo = full text database.* base de datos de texto libre = free text database.* base de datos dirigida a un mercado específico = niche database.* base de datos distribuida = distributed database.* base de datos en CD-ROM = CD-ROM database.* base de datos en disco óptico = optical disc database.* base de datos en estado original = raw database.* base de datos en línea = online database.* base de datos estadística = statistical database.* base de datos externa = external database.* base de datos factual = factual database.* base de datos interna = in-house database.* base de datos jurídica = legal database.* base de datos multimedia = multimedia database.* base de datos no bibliográfica = non-bibliographic database.* base de datos numérica = numeric database, numerical database.* base de datos relacional = relational database.* base de datos residente = resident database.* base de datos terminológica = terminology database.* bloque de datos = data bloc.* bloque funcional de datos codificados = coded information block.* búfer de datos = data buffer.* bus de datos = databus.* búsqueda de datos = fact-finding.* campo de datos = datafield.* capturar datos = capture + data.* centro de datos = data centre.* codificación de datos = data-coding [data coding].* con datos no pertinentes = dirty [dirtier -comp., dirtiest -sup.].* conjunto de datos = data set [dataset].* contaminación de datos = data contamination.* corrupción de datos = data corruption.* creación de depósitos de datos = data warehousing.* creador de bases de datos = database producer.* dar datos de = give + details of.* dato concreto = hard fact.* datos = data [datum, -sing.], details, figure.* datos bibliográficos = bibliographic data, bibliodata.* datos biográficos = biodata.* datos concretos = specifics, the.* datos concretos y reales = hard data.* datos de contacto = contact details.* datos de entrada = input data.* datos de la tarjeta de crédito = credit card details.* datos demográficos = demographics.* datos desagregados por sexo = gender-disaggregated data.* datos empíricos = empirical data.* datos en bruto = raw data.* datos en estado bruto = raw facts.* datos en propiedad = property data.* datos erróneos = dirty data.* datos estadísticos = statistics, statistical data.* datos estadísticos de la biblioteca = library records, library statistics.* datos factuales = factual data.* datos legibles por máquina = machine-readable data.* datos numéricos = numerical data.* datos personales = personal details.* datos privados = property data.* de lectura de datos = data-capture.* depósito de datos = data warehouse.* depuración de datos = data cleaning.* descubrimiento de datos = data mining.* descubrimiento de información en las bases de datos = knowledge discovery in databases (KDD).* directorio de empresas en base de datos = company directory database.* dispositivo de almacenamiento de datos = store.* distribuidor de bases de datos = host system.* distribuidor de bases de datos en línea = online vendor.* EDI (Intercambio Electrónico de Datos) = EDI (Electronic Data Interchange).* entrada de datos = data entry, input, inputting.* entrada de datos sólo una vez = one-time entry.* estructura de datos = data structure.* extracción inteligente de datos = data mining.* fichero de salida de datos = communication output file.* gestión de bases de datos = database management.* gestión de datos = data handling.* gestor de bases de datos = DBMS system.* gestor de bases de datos relacionales = relational database management system.* grupo de datos = data set [dataset].* hoja con los datos básicos para Hacer Algo = data sheet [datasheet].* hoja de toma de datos = checklist [check-list], data sheet [datasheet].* impreso de recogida de datos = enquiry form, inquiry form.* industria de las bases de datos = database industry.* inserción de datos = input.* instrumento de recogida de datos = data collection instrument.* introducción de datos utilizando un teclado = keypunching.* introducir datos = key + data.* introducir datos en el ordenador = input.* introducir datos partiendo de cero = enter from + scratch.* introductor de datos en un ordenador = inputter.* limpieza de datos = data cleaning.* lista de datos = fact finder.* localización de datos = addressing.* manipulación de datos = data manipulation.* memoria intermedia de datos = data buffer.* memorizar datos = memorise + facts.* meta base de datos = meta-database.* migración de datos = data migration.* minería de datos = data mining.* modo de introducción de datos = input mode.* montar una base de datos = mount + database.* norma de entrada de datos = input standard.* operación sobre datos = data manipulation.* operario de entrada de datos = data entry operator.* paquete de entrada y comprobación de datos = data entry and validation package.* pérdida de datos = data loss.* personal de proceso de datos = operation staff.* preparación de los datos = data preparation.* procesamiento de datos = data processing.* procesamiento de datos numéricos = number-crunching.* proceso de datos = data processing, transaction processing.* productor de bases de datos = database producer.* programa de gestión de bases de datos = database management software.* protección de datos = data protection.* prototipo para el proceso de datos = data modelling.* proveedor de bases de datos = database provider.* recabar datos = solicit + data.* recoger datos = collect + data.* recoger datos para hacer estadísticas = collect + statistics.* recogida de datos = data collection, data gathering [data-gathering], fact-gathering, reporting, data collecting.* salida de datos = output.* sistema de proceso de datos = data processing system.* Sistema Internacional de Datos sobre Publicaciones Seriadas (ISDS) = ISDS (International Serials Data System).* suministrar datos = furnish + details.* suministro de datos = reporting.* tecla de borrado de datos = ERASE INPUT key.* tecla de introducción de datos = ENTER key.* técnico encargado del proceso de datos = data-processing professional.* tiempo de descarga de datos = download time, latency.* tráfico de datos de un modo intermitente = bursty traffic.* transformación de datos = data transformation.* transmisión de datos = data-flow, data transfer, data transmission.* tratamiento de datos = transaction processing.* unidad de datos = unit of data.* verificación de los datos = fact checking.* vía de transmisión de datos = data pathway, pathway.* * *1 (elemento de información) piece of informationno tengo más datos que el título de la obra the only thing I know about the work is its title, the only information I have about the work is its titleno dispongo de todos los datos I don't have all the information o details o factsme han dado un dato muy interesante (CS); I've been given a very interesting piece of information o ( colloq) a hot tipte voy a dar un dato, si no lo enchufas no funciona (CS hum); let me give you a tip: it won't work unless you plug it inCompuesto:* * *
Del verbo datar: ( conjugate datar)
dato es:
1ª persona singular (yo) presente indicativo
dató es:
3ª persona singular (él/ella/usted) pretérito indicativo
Multiple Entries:
datar
dato
datar ( conjugate datar) verbo intransitivo
to date;
data de hace muchos años it goes back many years
dato sustantivo masculino
datos personales personal details (pl)b)
datar
I verbo transitivo to date, put a date on
II verbo intransitivo datar de, to date back to o from: este libro data de la Edad Media, this book dates back to the Middle Ages
dato sustantivo masculino
1 piece of information 2 datos, Inform data
(pormenores) information: no tengo más datos sobre este autor, I don't have any more details about his author
datos personales, personal details
La traducción de dato es datum, pero solo se usa en situaciones muy formales. La traducción de datos es data (plural irregular). El singular más común de data es a piece of information.
' dato' also found in these entries:
Spanish:
filtrar
- filtración
- informativa
- informativo
- relevante
- consignar
- consultar
- equivocado
- falso
English:
data
- information
- tip
* * *dato nm1. [hecho, cifra] piece of information, fact;lo que necesitamos son datos concretos what we need is hard facts;el alto desempleo es un dato que hay que tener en cuenta the high level of unemployment is a factor which has to be borne in mind;datos [información] information, data;si no me das más datos, no voy a poderte aconsejar unless you give me more information, I won't be able to advise you;el ministerio aún no cuenta con todos los datos the ministry does not yet have all the information at its disposal;datos (personales) (personal) details;déjenos sus datos y nos pondremos en contacto con usted leave us your details and we will get in touch with youdatos bancarios bank details;datos estadísticos statistical data* * *m piece of information;datos pl information sg, data sg* * *dato nm1) : fact, piece of information2) datos nmpl: data, information* * *dato n (información) piece of information -
5 record
• huippusaavutus• huippusuoritus• diaari• ennätyksellinen• entisyys• ennätys• ennätysmäinen• esittää• aikakirja• asiakirja• arkisto• ansioluettelo• protokolla• pöytäkirja• rekisteri• rekisteröidä(tietotekn)automatic data processing• rekisteröidä (ATK)• rekisteröidäautomatic data processing• tietue(lohko)• tehdä merkintäautomatic data processing• tietolohkoautomatic data processing• tietueautomatic data processing• tietue(tietokannan)automatic data processing• tietojaksomathematics• kertoa• kirjaus• kirjoittaa• kirjata• levy• levyttää• gramofonilevy• gramafonilevy• merkitä pöytäkirjaan• merkitä• muistiinmerkitty tieto• merkitä muistiin• muistiinpanna• muistio• merkintä• muistiinmerkitä• nauhoittaa• memoriaalipöytäkirja• maineautomatic data processing• tallentaa (ATK)automatic data processing• tallenne• tallentaa• tallentaa(tietotekn)• tallentaa rekisteröidä• äänittäätechnology• äänilevy (tek.)• äänilevy• äänilevy(tekniikka)• pitää pöytäkirjaa• kokouksen pöytäkirja• luetteloon• luetteloida* * *1. 'reko:d, -kəd, ]( American) -kərd noun1) (a written report of facts, events etc: historical records; I wish to keep a record of everything that is said at this meeting.) muistiinpano2) (a round flat piece of (usually black) plastic on which music etc is recorded: a record of Beethoven's Sixth Symphony.) äänilevy3) ((in races, games, or almost any activity) the best performance so far; something which has never yet been beaten: He holds the record for the 1,000 metres; The record for the high jump was broken/beaten this afternoon; He claimed to have eaten fifty sausages in a minute and asked if this was a record; ( also adjective) a record score.) ennätys4) (the collected facts from the past of a person, institution etc: This school has a very poor record of success in exams; He has a criminal record.) menneisyys2. rə'ko:d verb1) (to write a description of (an event, facts etc) so that they can be read in the future: The decisions will be recorded in the minutes of the meeting.) kirjoittaa2) (to put (the sound of music, speech etc) on a record or tape so that it can be listened to in the future: I've recorded the whole concert; Don't make any noise when I'm recording.) äänittää3) ((of a dial, instrument etc) to show (a figure etc) as a reading: The thermometer recorded 30°C yesterday.) osoittaa4) (to give or show, especially in writing: to record one's vote in an election.) ilmaista•- recorder- recording
- record-player
- in record time
- off the record
- on record -
6 data
(or noun singular facts or information (especially the information given to a computer): All the data has/have been fed into the computer.) datos- database- data-processing
data n datos / informacióntr['deɪtə]plural noun (sing datum)1 datos nombre masculino plural, información nombre femenino\SMALLIDIOMATIC EXPRESSION/SMALLdata bank SMALLCOMPUTING/SMALL banco de datosdata management gestión nombre femenino de datosdata processing procesamiento de datosdata ['deɪt̬ə, 'dæ-, 'dɑ-] ns & pl: datos mpl, información fn.pl.• datos s.m.pl.'deɪtə1) (facts, information) (+ pl vb) datos mpl, información f2) ( Comput) (+ sing vb) datos mpla piece of data — un dato; (before n)
data capture — toma f de datos
data input — introducción f de datos
data processing — procesamiento m or proceso m de datos
data protection — protección f de datos or de la información
['deɪtǝ]data retrieval — rescate m de datos
1.NPL (with sing or pl vb) datos mpl2.CPDdata capture N — grabación f de datos
data collection N — recogida f de datos, recopilación f de datos
data dictionary, data directory N — guía f de datos
data entry N — entrada f de datos
data management N — gestión f de datos
data preparation N — preparación f de datos
data processing N — (=action) procesamiento m de datos, proceso m de datos; (=science) informática f
data processor N — procesador m de datos
data protection N — protección f de datos
data protection act N — ley f de protección de datos
data security N — seguridad f de los datos
data transmission N — transmisión f de datos, telemática f
* * *['deɪtə]1) (facts, information) (+ pl vb) datos mpl, información f2) ( Comput) (+ sing vb) datos mpla piece of data — un dato; (before n)
data capture — toma f de datos
data input — introducción f de datos
data processing — procesamiento m or proceso m de datos
data protection — protección f de datos or de la información
data retrieval — rescate m de datos
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7 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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8 Reading
1) The Discovery of Truth Depends on the Thoughtful Reading of Authoritative TextsFor the Middle Ages, all discovery of truth was first reception of traditional authorities, then later-in the thirteenth century-rational reconciliation of authoritative texts. A comprehension of the world was not regarded as a creative function but as an assimilation and retracing of given facts; the symbolic expression of this being reading. The goal and the accomplishment of the thinker is to connect all these facts together in the form of the "summa." Dante's cosmic poem is such a summa too. (Curtius, 1973, p. 326)The readers of books... extend or concentrate a function common to us all. Reading letters on a page is only one of its many guises. The astronomer reading a map of stars that no longer exist; the Japanese architect reading the land on which a house is to be built so as to guard it from evil forces; the zoologist reading the spoor of animals in the forest; the card-player reading her partner's gestures before playing the winning card; the dancer reading the choreographer's notations, and the public reading the dancer's movements on the stage; the weaver reading the intricate design of a carpet being woven; the organ-player reading various simultaneous strands of music orchestrated on the page; the parent reading the baby's face for signs of joy or fright, or wonder; the Chinese fortune-teller reading the ancient marks on the shell of a tortoise; the lover blindly reading the loved one's body at night, under the sheets; the psychiatrist helping patients read their own bewildering dreams; the Hawaiian fisherman reading the ocean currents by plunging a hand into the water; the farmer reading the weather in the sky-all these share with book-readers the craft of deciphering and translating signs....We all read ourselves and the world around us in order to glimpse what and where we are. We read to understand, or to begin to understand. We cannot do but read. Reading, almost as much as breathing, is our essential function. (Manguel, 1996, pp. 6-7)There is a pitched battle between those theorists and modellers who embrace the primacy of syntax and those who embrace the primacy of semantics in language processing. At times both schools have committed various excesses. For example, some of the former have relied foolishly on context-free mathematical-combinatory models, while some of the latter have flirted with versions of the "direct-access hypothesis," the idea that skilled readers process printed language directly into meaning without phonological or even syntactic processing. The problems with the first excess are patent. Those with the second are more complex and demand more research. Unskilled readers apparently do rely more on phonological processing than do skilled ones; hence their spoken dialects may interfere with their reading-and writing-habits. But the extent to which phonological processing is absent in the skilled reader has not been established, and the contention that syntactic processing is suspended in the skilled reader is surely wrong and not supported by empirical evidence-though blood-flow patterns in the brain are curiously different during speaking, oral reading, and silent reading. (M. L. Johnson, 1988, pp. 101-102)Historical dictionary of quotations in cognitive science > Reading
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(1997a). Cognitive science and the symbolic operations of human and artificial intelligence: Theory and research into the intellective processes. Westport, CT: Praeger.■ Wagman, M. (1997b). The general unified theory of intelligence: Central conceptions and specific application to domains of cognitive science. Westport, CT: Praeger.■ Wagman, M. (1998a). Cognitive science and the mind- body problem: From philosophy to psychology to artificial intelligence to imaging of the brain. Westport, CT: Praeger.■ Wagman, M. (1998b). Language and thought in humans and computers: Theory and research in psychology, artificial intelligence, and neural science. Westport, CT: Praeger.■ Wagman, M. (1998c). The ultimate objectives of artificial intelligence: Theoretical and research foundations, philosophical and psychological implications. Westport, CT: Praeger.■ Wagman, M. (1999). The human mind according to artificial intelligence: Theory, re search, and implications. Westport, CT: Praeger.■ Wagman, M. (2000). Scientific discovery processes in humans and computers: Theory and research in psychology and artificial intelligence. Westport, CT: Praeger.■ Wall, R. (1972). Introduction to mathematical linguistics. Englewood Cliffs, NJ: Prentice-Hall.■ Wallas, G. (1926). The Art of Thought. New York: Harcourt, Brace & Co.■ Wason, P. (1977). Self contradictions. In P. Johnson-Laird & P. Wason (Eds.), Thinking: Readings in cognitive science. Cambridge: Cambridge University Press.■ Wason, P. C., & P. N. Johnson-Laird. (1972). Psychology of reasoning: Structure and content. Cambridge, MA: Harvard University Press.■ Watson, J. (1930). Behaviorism. New York: W. W. Norton.■ Watzlawick, P. (1984). Epilogue. In P. Watzlawick (Ed.), The invented reality. New York: W. W. Norton, 1984.■ Weinberg, S. (1977). The first three minutes: A modern view of the origin of the uni verse. New York: Basic Books.■ Weisberg, R. W. (1986). Creativity: Genius and other myths. New York: W. H. Freeman.■ Weizenbaum, J. (1976). Computer power and human reason: From judgment to cal culation. San Francisco: W. H. Freeman.■ Wertheimer, M. (1945). Productive thinking. New York: Harper & Bros.■ Whitehead, A. N. (1925). Science and the modern world. New York: Macmillan.■ Whorf, B. L. (1956). In J. B. Carroll (Ed.), Language, thought and reality: Selected writings of Benjamin Lee Whorf. Cambridge, MA: MIT Press.■ Whyte, L. L. (1962). The unconscious before Freud. New York: Anchor Books.■ Wiener, N. (1954). The human use of human beings. Boston: Houghton Mifflin.■ Wiener, N. (1964). God & Golem, Inc.: A comment on certain points where cybernetics impinges on religion. Cambridge, MA: MIT Press.■ Winograd, T. (1972). Understanding natural language. New York: Academic Press.■ Winston, P. H. (1987). Artificial intelligence: A perspective. In E. L. Grimson & R. S. Patil (Eds.), AI in the 1980s and beyond (pp. 1-12). Cambridge, MA: MIT Press.■ Winston, P. H. (Ed.) (1975). The psychology of computer vision. New York: McGrawHill.■ Wittgenstein, L. (1953). Philosophical investigations. Oxford: Basil Blackwell.■ Wittgenstein, L. (1958). The blue and brown books. New York: Harper Colophon.■ Woods, W. A. (1975). What's in a link: Foundations for semantic networks. In D. G. Bobrow & A. Collins (Eds.), Representations and understanding: Studies in cognitive science (pp. 35-84). New York: Academic Press.■ Woodworth, R. S. (1938). Experimental psychology. New York: Holt; London: Methuen (1939).■ Wundt, W. (1904). Principles of physiological psychology (Vol. 1). E. B. Titchener (Trans.). New York: Macmillan.■ Wundt, W. (1907). Lectures on human and animal psychology. J. E. Creighton & E. B. Titchener (Trans.). New York: Macmillan.■ Young, J. Z. (1978). Programs of the brain. New York: Oxford University Press.■ Ziman, J. (1978). Reliable knowledge: An exploration of the grounds for belief in science. Cambridge: Cambridge University Press.Historical dictionary of quotations in cognitive science > Bibliography
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10 material
məˈtɪərɪəl
1. сущ.
1) а) тж. мн. вещество, материал( обык. из которого изготавливается что-л.) ;
сырье sticky material ≈ клейкое вещество explosive materials ≈ взрывчатые вещества radioactive material ≈ радиоактивное вещество raw material ≈ сырье packing material ≈ набивочный материал, уплотняющий материал insulating material materials handling material processing б) существенная, материальная часть( чего-л.) в) мн., ирланд. сырье, ингредиенты (для приготовления пунша, тж. matts) ∙ Syn: matter, substance
2) а) данные, материал, сведения, факты (about, on;
for) promotional materials ≈ рекламные материалы reading materials ≈ материалы для изучения reference material ≈ справочный материал to collect, gather material ≈ собирать данные source material ≈ исходные данные to gather material about the case ≈ собирать информацию об (этом) случае to gather material for a dictionary ≈ собирать материал для словаря material for a biography ≈ биографические материалы material for the next semester ≈ задания на следующий семестр Syn: data, task
1. б) репертуар, программа, материал (песенный и т. п.) a comedian's material ≈ персональная программа (какого-л.комика)
3) текст. материя, ткань( обык. шерстяная, простых видов - например, в противопоставление шелкам и т. п.) Syn: cloth, linen
1.
4) а) мн. принадлежности;
набор инструментов, принадлежностей writing materials б) воен. боеприпасы;
боевая техника( и т. п.) Syn: materiel
5) (обык. с определяющим сущ-м или прил-м в препозиции) проявляющий способности, талантливый( к чему-л.) человек;
собир. кадры( человеческие) officer material ≈ офицерские кадры headmaster material ≈ управленческие кадры This guy is good football material. ≈ У этого парня есть задатки неплохого футболиста. varsity material ≈ разг. студент;
студенчество He's a not bad leadership material. ≈ Из него выйдет неплохой лидер.
2. прил.
1) а) вещественный, материальный material world Syn: physical б) телесный, физический (тж. в противоп. духовному) Ех: material needs ≈ физические потребности material pleasures ≈ радости плоти Syn: bodily, corporeal в) земной, приземленный;
бездуховный, бездушный( с пренебрежительным оттенком - часто в сочeтание с gross) What I saw struck me... as grossly material, not poetically spiritual. (C. Bronte, "Villette"
1853) ≈ Увиденное мною потрясло меня... абсолютной вульгарностью, полной бездуховностью.
2) материальный, имущественный а) (относящийся к материальному миру, не духовный или разумный) material culture ≈ материальная культура( какого-л. народа: совокупность предметов быта, предметов и т. п., созданных, изобретенных, накопленных данным народом) material progress ≈ материальное развитие material well-being, material comforts ≈ материальное благосостояние, материальные блага б) (денежный, финансовый) material losses material damage Syn: financial, pecuniary, economic
3) существенный, важный;
значимый, весомый( для чего-л. to) facts material to the investigation ≈ существенные для следствия факты material witness material evidence material issue Syn: important, pertinent, germane, essential
4) а) филос. материальный (существующий вне сознания и вне зависимости от него) material object, thing ≈ материальный объект, предмет материального мира material objectness ≈ материальное существование material sin ≈ материальный грех( грех, совершенный неосознанно) material righteousness ≈ беспричинная добродетельность б) эмпирический, познаваемый через опыт material knowledge ≈ эмпирическое знание Syn: empirical
5) лог. материальный ( в противопоставление формальному - основанный на содержании, а не на форме) material implication ≈ материальная импликация
6) лингв. вещественный, неисчисляемый (название класса имен существительных) material noun ≈ вещественное существительное (тж. mass noun) материал, вещество - building *s строительные материалы - fissionable *s расщепляющиеся материалы - insulating * изоляционный материал - raw *s сырье - * of construction конструкционный материал - rubber is a widely used * резина широко используется как сырье - *s handling (техническое) обработка материалов (тж. * processing) ;
погрузка-разгрузка сыпучих материалов - *s science материаловедение материал;
кадры - these men are good army * из этих людей выйдут хорошие солдаты - she is good acting * у нее задатки хорошей актрисы - the schools are not producing enough good * школы выпускают недостаточно подготовленных кадров данные, факты, материал - illustrative * иллюстративный материал, примеры - reference * справочный материал, наглядные пособия - to collect * for a literary work собирать материал для художественного произведения - he is looking for * for a TV programme он ищет материал для телевизионной передачи - we have enough * against him мы собрали достаточно материала на него тема - * for thought материал /тема/ для размышлений - to provide * for conversation давать тему для бесед (текстильное) ткань, материя (тж. dress *) - a light * легкая ткань - made of waterproof * сделанный из непромокаемой ткани pl принадлежности - writing *s письменные принадлежности материальный, вещественный - the * world материальный мир - * forces материальные силы телесный, плотский, физический;
материальный (не духовный) - * pleasures плотские /чувственные/ удовольствия /радости/ - to have enough for one's * needs иметь достаточно для удовлетворения своих физических потребностей имущественный, денежный;
материальный, относящийся к средствам существования - * well-being материальное благополучие - * comforts материальные блага - * damage материальный ущерб существенный, важный, значительный - * facts существенные факты - * to smb., smth. существенный, имеющий значение для кого-л., чего-л. - facts which are not * to the point in question факты, не имеющие отношения к разбираемому вопросу - * evidence (юридическое) существенные показания;
вещественные доказательства - * issue (юридическое) существенное возражение - * witness важный свидетель;
свидетель, показания которого имеют существенное значение - he has been of * service to me он оказал мне важную /значительную/ услугу - we must make * changes in our plan нам придется внести существенные /коренные, важные/ изменения в наш план bookkeeping ~ материалы бухгалтерского учета building ~ строительный материал bulk ~ массовый груз collect ~ собирать материал construction ~ строительный материал corporate ~ информационный материал корпорации detailed sales ~ подробные данные о продаже explanatory ~ пояснительный материал handout ~s раздаваемые рабочие документы( в учебном заведении, на конференции) imitation ~ искусственный материал imitation ~ поддельный материал material важный ~ вещественный ~ вещество ~ данные ~ денежный ~ значительный ~ имущественный, денежный;
material losses финансовые потери;
убытки ~ имущественный ~ материал;
вещество ~ материал ~ материальный;
вещественный;
material world материальный мир ~ материальный ~ текст. материя ~ относящийся к средствам существования ~ pl принадлежности;
writing materials письменные принадлежности ~ принадлежности ~ статистический материал ~ существенный, важный;
material witness юр. важный свидетель ~ существенный, важный ~ существенный ~ телесный, физический (в противоп. духовному) ;
material needs физические потребности ~ факты, данные, материал ~ имущественный, денежный;
material losses финансовые потери;
убытки ~ телесный, физический (в противоп. духовному) ;
material needs физические потребности ~ существенный, важный;
material witness юр. важный свидетель ~ материальный;
вещественный;
material world материальный мир raw ~ исходный материал raw ~ сырье raw ~ сырьевой материал raw: ~ необработанный;
raw material (или stuff) сырье;
raw brick необожженный кирпич uniaxial ~ вчт. одноосный материал work ~ сырье ~ pl принадлежности;
writing materials письменные принадлежностиБольшой англо-русский и русско-английский словарь > material
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11 Daten
Pl.1. Datum2. EDV data Pl. (V. auch im Sg.) Daten austauschen / auswerten / erfassen / löschen / speichern exchange / evaluate / capture ( oder collect)/ delete / save files; Daten verarbeitende Anlage data processing system4. (Personalangaben) particulars, personal data* * *die Datendata (Pl.)* * *Da|ten* * *(or noun singular facts or information( especially the information given to a computer): All the data has/have been fed into the computer.) data* * *Da·ten1[ˈda:tn̩]Da·ten2[ˈda:tn̩]pl datatechnische \Daten specifications, specs fam\Daten erfassen/verarbeiten to collect [or capture]/process data* * *1.s. Datum2.Plural datadie technischen Daten eines Typs — the technical specification sing. of a model
* * *Daten pl2. IT data pl (v auch im sg)Daten austauschen/auswerten/erfassen/löschen/speichern exchange/evaluate/capture ( oder collect)/delete/save files;Daten verarbeitende Anlage data processing system3. allg Tatsachen, Resultate etc: data, facts;technische Daten specifications4. (Personalangaben) particulars, personal data* * *1.s. Datum2.Plural datadie technischen Daten eines Typs — the technical specification sing. of a model
* * *n.data n. -
12 data
(or noun singular facts or information (especially the information given to a computer): All the data has/have been fed into the computer.) data; materiale- database- data-processing* * *(or noun singular facts or information (especially the information given to a computer): All the data has/have been fed into the computer.) data; materiale- database- data-processing -
13 conocimiento
m.1 knowledge.hablar/actuar con conocimiento de causa to know what one is talking about/doingponer algo en conocimiento de alguien to bring something to somebody's attention, to inform somebody of somethingtener conocimiento de algo to be aware of somethingha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy2 consciousness (sentido, conciencia).perder/recobrar el conocimiento to lose/regain consciousnessestaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor3 awareness, consciousness, cognizance.* * *2 (sensatez) good sense3 (conciencia) consciousness\con conocimiento de causa with full knowledge of the factsperder el conocimiento to lose consciousnessponer algo en conocimiento de alguien to make something known to somebody, inform somebody of somethingrecobrar el conocimiento to regain consciousness, come roundtener conocimiento de algo to know about something* * *noun m.1) knowledge* * *SM1) (=saber) knowledgeconocimientos — (=nociones) knowledge sing
mis pocos conocimientos de filosofía/cocina — my limited knowledge of philosophy/cookery
2) (=información) knowledgeel encuentro tuvo lugar sin conocimiento público — the meeting took place without the public's knowledge
•
dar conocimiento de algo, dimos conocimiento del robo a la policía — we informed the police about the robbery•
llegar a conocimiento de algn — to come to sb's attention o notice•
tener conocimiento de algo, aún no tenemos conocimiento de su detención — we still do not know that he has been arrestedse les informó al tenerse conocimiento del suceso — they were informed as soon as it was known what had happened
desea ponerlo en conocimiento público — he wants it brought to the public's attention, he wishes it to be made public
el Ministro ha puesto en conocimiento del rey su decisión — the minister has informed the king of his decision
conocimiento de causa, hacer algo con conocimiento de causa — to be fully aware of what one is doing
3) (=consciencia) consciousnessrecobrar o recuperar el conocimiento — to regain consciousness
4) (=sentido común) common sense5) (Jur) cognizance frm6) (Com)* * *1)a) ( saber) knowledgeb) conocimientos masculino plural ( nociones) knowledge2) (frml) ( información)dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something
pongo en su conocimiento que... — (Corresp) I am writing to inform you that...
llegar a conocimiento de alguien — to come to somebody's attention o notice (frml)
con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about
3) ( sentido) consciousnessperder/recobrar el conocimiento — to lose/regain consciousness
4) ( entendimiento)aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand
* * *= cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.Ex. The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.Ex. SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.Ex. Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.Ex. Its primary function is to provide a centre for software and hardware expertise for its members.Ex. Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.Ex. The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.Ex. The human indexer works mechanically and rapidly; he should require no insight into the document content.Ex. These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.Ex. It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.Ex. It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.Ex. We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.Ex. The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.Ex. This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.Ex. For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.----* actualizar los conocimientos = upgrade + Posesivo + skills.* adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.* ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.* ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.* análisis de áreas del conocimiento = domain analysis.* análisis de dominios del conocimiento = domain analysis.* aprendizaje rico en conocimiento = knowledge-rich learning.* área de conocimiento = area of study.* área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.* aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.* aumento del conocimiento = knowledge building.* bannco de conocimiento = knowledge bank.* basado en el conocimiento = knowledge-based.* basado en las disciplinas del conocimiento = discipline-based.* bibliotecario con conocimientos de medicina = informationist.* búsqueda del conocimiento = quest for/of knowledge.* campo del conocimiento = field of knowledge.* centrado en el conocimiento = knowledge-centric.* ciencia del conocimiento = cognitive science.* compartir el conocimiento = knowledge sharing, pool + knowledge.* con conocimiento = authoritatively.* con conocimiento básico en el manejo de la información = information literate [information-literate].* con conocimiento básico en el uso de la biblioteca = library literate [library-literate].* con conocimiento de = appreciative of, conversant with.* con conocimiento de causa = knowingly, knowingly.* con conocimiento de informática = computer literate [computer-literate].* con conocimiento en el uso de Internet = Internet-savvy.* con conocimientos en = versed in.* con conocimientos sobre el correo electrónico = e-mail literate.* con el conocimiento de que = on the understanding that.* conjunto de conocimientos = body of knowledge.* conocimiento académico = academic knowledge.* conocimiento acumulado sobre un tema = lore.* conocimiento básico = working familiarity, working knowledge.* conocimiento científico = scientific knowledge.* conocimiento compartido = knowledge sharing.* conocimiento de base = foundation study.* conocimiento de cómo sobrevivir en el bosque = woodcraft.* conocimiento de embarque = bill of lading.* conocimiento de la existencia = awareness.* conocimiento de lengua = language skill.* conocimiento del objeto = object knowledge.* conocimiento de los diferentes soportes = media competency.* conocimiento detallado = intimate knowledge.* conocimiento de un área temática = area knowledge.* conocimiento documentado = recorded knowledge.* conocimiento enciclopédico = factual knowledge.* conocimiento en tecnología = technological skill.* conocimiento específico = expert knowledge.* conocimiento experto = expert knowledge, expertise.* conocimiento explícito = explicit knowledge.* conocimiento factual = declarative knowledge.* conocimiento humano = human consciousness.* conocimiento humano, el = human record, the.* conocimiento indígena = indigenous knowledge.* conocimiento lingüístico = language skill.* conocimiento mutuo = mutual knowledge.* conocimiento pasivo = nodding acquaintance.* conocimiento pleno = awareness.* conocimiento práctico = working knowledge, procedural knowledge.* conocimiento previo = foreknowledge.* conocimientos = knowledge base [knowledge-base].* conocimientos básicos = literacy.* conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.* conocimientos básicos de documentación = information literacy.* conocimientos básicos de informática = computer literacy.* conocimientos básicos en tecnología = technical literacy.* conocimientos básicos sobre el uso de las bibliotecas = library skills.* conocimientos de tecnología = techno-savvy, tech-savvy.* conocimientos en el manejo de la información = info-savvy.* conocimiento sobre una materia = subject knowledge.* conocimientos requeridos = job specs.* conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.* conocimiento técnico = know-how, technical knowledge.* conocimiento teórico = declarative knowledge.* con poco conocimiento de las nuevas tecnologías = technologically challenged.* corpus de conocimiento = corpus of knowledge.* crear un fondo común de conocimientos = pool + knowledge.* cúmulo de conocimiento = repository of knowledge, knowledge repository.* decisión con conocimiento de causa = informed decision.* difundir el conocimiento = spread + knowledge.* director ejecutivo de la gestión del conocimiento = knowledge executive.* dominio del conocimiento = knowledge domain.* economía basada en el conocimiento = knowledge driven economy.* economía del conocimiento = knowledge economy.* Era del Conocimiento, la = Knowledge Age, the.* estructuración del conocimiento = knowledge structuring.* examinar los conocimientos = test + knowledge.* falta de conocimiento = unfamiliarity.* filtro del conocimiento = knowledge filter.* fomentar el conocimiento = advance + knowledge.* fondo común de conocimientos = pool of knowledge, pool of expertise.* frontera del conocimiento = frontier of knowledge.* fundamentos del conocimiento, los = foundations of knowledge, the.* gestión del conocimiento = knowledge management (KM).* gestor del conocimiento = knowledge worker, knowledge manager.* hacer avanzar el conocimiento = push back + the frontiers of knowledge.* hacer gala del conocimiento que uno tiene = air + knowledge.* hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.* hacer uso de un conocimiento = draw on/upon + knowledge.* impartir conocimiento = impart + knowledge.* inculcar conocimiento = instil + knowledge.* ingeniería del conocimiento = knowledge engineering.* ingeniero del conocimiento = knowledge engineer.* institucion del conocimiento = institution of learning.* intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.* jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).* metaconocimiento = meta-knowledge.* navegación por el conocimiento = knowledge navigation.* navegador del conocimiento = knowledge navigator.* obtener conocimiento = gain + an understanding.* ofrecer conocimiento = package + knowledge.* perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.* pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.* personas sin conocimientos técnicos, las = non-technical, the.* presentar conocimiento = package + knowledge.* producto del conocimiento = knowledge record.* profundizar en el conocimiento = deepen + knowledge.* propagar el conocimiento = propagate + knowledge.* proporcionar conocimientos técnicos = supply + know-how.* quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.* rama del conocimiento = branch of learning.* recobrar el conocimiento = regain + Posesivo + consciousness.* recuperar el conocimiento = regain + Posesivo + consciousness.* red de conocimiento = knowledge network.* servidor del conocimiento = knowledge server.* sin conocimiento = unconscious.* sin conocimiento de causa = unbeknown to, unbeknownst to.* sintetizar el conocimiento = synthesise + knowledge.* sistema basado en el conocimiento = knowledge-base system.* sistema de gestión del conocimiento = knowledge management system (KMS).* sociedad basada en el conocimiento = knowledge based society.* sociedad del conocimiento = knowledge society.* Sociedad para el Conocimiento Global = Global Knowledge Partnership.* suministrar conocimientos técnicos = supply + know-how.* tener conocimiento de = be privy to, be aware of.* toma de decisiones con conocimiento de causa = informed decision making.* tomar decisiones con conocimiento de causa = make + informed decisions.* transferencia de conocimiento = transfer of knowledge, knowledge transfer.* utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.* * *1)a) ( saber) knowledgeb) conocimientos masculino plural ( nociones) knowledge2) (frml) ( información)dar conocimiento de algo a alguien — to inform o (frml) apprise somebody of something
pongo en su conocimiento que... — (Corresp) I am writing to inform you that...
llegar a conocimiento de alguien — to come to somebody's attention o notice (frml)
con conocimiento de causa: obró con conocimiento de causa (frml) he took this step, fully aware of what the consequences would be; hablo con conocimiento de causa — I know what I'm talking about
3) ( sentido) consciousnessperder/recobrar el conocimiento — to lose/regain consciousness
4) ( entendimiento)aún es pequeño, no tiene todavía conocimiento — he's not old enough to understand
* * *= cognition, competency, enlightenment, expertise, familiarisation [familiarization, -USA], familiarity, insight, knowledge, learning, acquaintance, understanding, cognisance [cognizance, -USA], connoisseurship, consciousness.Ex: The information-processing model of cognition, and developments in artificial intelligence encourage such comparisons = El modelo de la cognición sobre el procesamiento de la información de y los avances de la inteligencia artificial fomentan este tipo de comparaciones.
Ex: SLIS programmes intended to 'produce' librarians with competency in the use of IT have to be designed.Ex: Considered as necessary work in the interest of humanity and general enlightenment, bibliography gains ground as the years pass.Ex: Its primary function is to provide a centre for software and hardware expertise for its members.Ex: Step 1 Familiarisation: This first step involves the indexer in becoming conversant with the subject content of the document to be indexed.Ex: The most effective searchers are those who have both system experience and some familiarity with the subject area in which they are searching.Ex: The human indexer works mechanically and rapidly; he should require no insight into the document content.Ex: These factors form the basis of the problems in identifying a satisfactory subject approach, and start to explain the vast array of different tolls used in the subject approach to knowledge.Ex: It is the responsibility of educators to stretch their student's intellects, hone their skills of intuitive judgment and synthesis, and build a love of learning that will sustain them beyond the level of formal education.Ex: It is only with accumulating experience and many years of close study and acquaintance with bibliographic works that a really substantial body of knowledge of the potential of bibliographic sources is acquired.Ex: We librarians ought to have a clearer understanding of our stock-in-trade (books) and their function of social mechanism.Ex: The passive cognisance of growth causes considerable difficulties = El conocimiento pasivo del crecimiento causa dificultades importantes.Ex: This book explores the underlying institutional factors that help museum-based connoisseurship and aestheticism and university-based critical theory and revisionist scholarship exist.Ex: For example, the latter are unlikely to engage themselves in conservation issues as these now press upon the professional consciousness of librarians.* actualizar los conocimientos = upgrade + Posesivo + skills.* adquirir conocimiento = gain + knowledge, glean + knowledge, acquire + knowledge, build up + knowledge.* ampliar el conocimiento = expand + Posesivo + knowledge, expand + Posesivo + knowledge, widen + knowledge, broaden + knowledge, deepen + understanding.* ampliar las fronteras del conocimiento = push back + the frontiers of knowledge.* análisis de áreas del conocimiento = domain analysis.* análisis de dominios del conocimiento = domain analysis.* aprendizaje rico en conocimiento = knowledge-rich learning.* área de conocimiento = area of study.* área del conocimiento = area of knowledge, discipline, subject field, field of activity, knowledge domain, discipline of knowledge.* aumentar el conocimiento = expand + Posesivo + knowledge, deepen + awareness.* aumento del conocimiento = knowledge building.* bannco de conocimiento = knowledge bank.* basado en el conocimiento = knowledge-based.* basado en las disciplinas del conocimiento = discipline-based.* bibliotecario con conocimientos de medicina = informationist.* búsqueda del conocimiento = quest for/of knowledge.* campo del conocimiento = field of knowledge.* centrado en el conocimiento = knowledge-centric.* ciencia del conocimiento = cognitive science.* compartir el conocimiento = knowledge sharing, pool + knowledge.* con conocimiento = authoritatively.* con conocimiento básico en el manejo de la información = information literate [information-literate].* con conocimiento básico en el uso de la biblioteca = library literate [library-literate].* con conocimiento de = appreciative of, conversant with.* con conocimiento de causa = knowingly, knowingly.* con conocimiento de informática = computer literate [computer-literate].* con conocimiento en el uso de Internet = Internet-savvy.* con conocimientos en = versed in.* con conocimientos sobre el correo electrónico = e-mail literate.* con el conocimiento de que = on the understanding that.* conjunto de conocimientos = body of knowledge.* conocimiento académico = academic knowledge.* conocimiento acumulado sobre un tema = lore.* conocimiento básico = working familiarity, working knowledge.* conocimiento científico = scientific knowledge.* conocimiento compartido = knowledge sharing.* conocimiento de base = foundation study.* conocimiento de cómo sobrevivir en el bosque = woodcraft.* conocimiento de embarque = bill of lading.* conocimiento de la existencia = awareness.* conocimiento de lengua = language skill.* conocimiento del objeto = object knowledge.* conocimiento de los diferentes soportes = media competency.* conocimiento detallado = intimate knowledge.* conocimiento de un área temática = area knowledge.* conocimiento documentado = recorded knowledge.* conocimiento enciclopédico = factual knowledge.* conocimiento en tecnología = technological skill.* conocimiento específico = expert knowledge.* conocimiento experto = expert knowledge, expertise.* conocimiento explícito = explicit knowledge.* conocimiento factual = declarative knowledge.* conocimiento humano = human consciousness.* conocimiento humano, el = human record, the.* conocimiento indígena = indigenous knowledge.* conocimiento lingüístico = language skill.* conocimiento mutuo = mutual knowledge.* conocimiento pasivo = nodding acquaintance.* conocimiento pleno = awareness.* conocimiento práctico = working knowledge, procedural knowledge.* conocimiento previo = foreknowledge.* conocimientos = knowledge base [knowledge-base].* conocimientos básicos = literacy.* conocimientos básicos de búsqueda, recuperación y organización de informació = information literacy.* conocimientos básicos de documentación = information literacy.* conocimientos básicos de informática = computer literacy.* conocimientos básicos en tecnología = technical literacy.* conocimientos básicos sobre el uso de las bibliotecas = library skills.* conocimientos de tecnología = techno-savvy, tech-savvy.* conocimientos en el manejo de la información = info-savvy.* conocimiento sobre una materia = subject knowledge.* conocimientos requeridos = job specs.* conocimiento tácito = tacit knowledge, tacit knowledge, tacit knowledge.* conocimiento técnico = know-how, technical knowledge.* conocimiento teórico = declarative knowledge.* con poco conocimiento de las nuevas tecnologías = technologically challenged.* corpus de conocimiento = corpus of knowledge.* crear un fondo común de conocimientos = pool + knowledge.* cúmulo de conocimiento = repository of knowledge, knowledge repository.* decisión con conocimiento de causa = informed decision.* difundir el conocimiento = spread + knowledge.* director ejecutivo de la gestión del conocimiento = knowledge executive.* dominio del conocimiento = knowledge domain.* economía basada en el conocimiento = knowledge driven economy.* economía del conocimiento = knowledge economy.* Era del Conocimiento, la = Knowledge Age, the.* estructuración del conocimiento = knowledge structuring.* examinar los conocimientos = test + knowledge.* falta de conocimiento = unfamiliarity.* filtro del conocimiento = knowledge filter.* fomentar el conocimiento = advance + knowledge.* fondo común de conocimientos = pool of knowledge, pool of expertise.* frontera del conocimiento = frontier of knowledge.* fundamentos del conocimiento, los = foundations of knowledge, the.* gestión del conocimiento = knowledge management (KM).* gestor del conocimiento = knowledge worker, knowledge manager.* hacer avanzar el conocimiento = push back + the frontiers of knowledge.* hacer gala del conocimiento que uno tiene = air + knowledge.* hacer perder el conocimiento = knock + Nombre + out, knock + Nombre + unconscious.* hacer uso de un conocimiento = draw on/upon + knowledge.* impartir conocimiento = impart + knowledge.* inculcar conocimiento = instil + knowledge.* ingeniería del conocimiento = knowledge engineering.* ingeniero del conocimiento = knowledge engineer.* institucion del conocimiento = institution of learning.* intercambio de conocimientos = learning exchange, cross-fertilisation [cross-fertilization, -USA], cross-fertilisation of knowledge.* jefe de los servicios de gestión del conocimiento = chief knowledge officer (CKO).* metaconocimiento = meta-knowledge.* navegación por el conocimiento = knowledge navigation.* navegador del conocimiento = knowledge navigator.* obtener conocimiento = gain + an understanding.* ofrecer conocimiento = package + knowledge.* perder el conocimiento = lose + Posesivo + senses, pass out, lose + Posesivo + consciousness.* pérdida del conocimiento = unconsciousness, fainting, fainting fit, loss of consciousness.* personas sin conocimientos técnicos, las = non-technical, the.* presentar conocimiento = package + knowledge.* producto del conocimiento = knowledge record.* profundizar en el conocimiento = deepen + knowledge.* propagar el conocimiento = propagate + knowledge.* proporcionar conocimientos técnicos = supply + know-how.* quedarse sin conocimiento = lose + Posesivo + consciousness, pass out.* rama del conocimiento = branch of learning.* recobrar el conocimiento = regain + Posesivo + consciousness.* recuperar el conocimiento = regain + Posesivo + consciousness.* red de conocimiento = knowledge network.* servidor del conocimiento = knowledge server.* sin conocimiento = unconscious.* sin conocimiento de causa = unbeknown to, unbeknownst to.* sintetizar el conocimiento = synthesise + knowledge.* sistema basado en el conocimiento = knowledge-base system.* sistema de gestión del conocimiento = knowledge management system (KMS).* sociedad basada en el conocimiento = knowledge based society.* sociedad del conocimiento = knowledge society.* Sociedad para el Conocimiento Global = Global Knowledge Partnership.* suministrar conocimientos técnicos = supply + know-how.* tener conocimiento de = be privy to, be aware of.* toma de decisiones con conocimiento de causa = informed decision making.* tomar decisiones con conocimiento de causa = make + informed decisions.* transferencia de conocimiento = transfer of knowledge, knowledge transfer.* utilizar los conocimientos de Uno = put + Posesivo + knowledge to work.* * *A1 (saber) knowledgetiene algunos conocimientos de inglés he has some knowledge of English, he knows some EnglishB ( frml)(información): dio conocimiento del suceso a las autoridades he informed o ( frml) apprised the authorities of the incidentpuso el hecho en conocimiento de la policía she informed the police of the incident, she reported the incident to the policepongo en su conocimiento que … ( Corresp) I am writing to inform you that …al tener conocimiento del suceso upon learning of the incident ( frml)a esas horas no se tenía todavía conocimiento de la noticia at that time we/they still had not heard the newsciertas personas tienen conocimiento de sus actividades certain people are aware of her activitiesllegar a conocimiento de algn to come to sb's attention o notice ( frml)con conocimiento de causa: obró con conocimiento de causa ( frml); he took this step, fully aware of what the consequences would bete lo digo con conocimiento de causa I know what I'm talking aboutCompuesto:bill of lading, waybillC (sentido) consciousnessperder el conocimiento to lose consciousnesscuando recobró el conocimiento when he regained consciousness, when he came to o roundestar sin conocimiento to be unconsciousD(entendimiento): aún es pequeño, no tiene todavía conocimiento he's not old enough to understand* * *
conocimiento sustantivo masculino
poner algo en conocimiento de algn to inform sb of sth;
tener conocimiento de algo to be aware of sth
◊ perder/recobrar el conocimiento to lose/regain consciousness;
estar sin conocimiento to be unconscious
conocimiento sustantivo masculino
1 knowledge
2 (conciencia) consciousness
3 conocimientos, knowledge
♦ Locuciones: perder/recobrar el conocimiento, to lose/regain consciousness
con conocimiento de causa, with full knowledge of the facts
' conocimiento' also found in these entries:
Spanish:
braga
- ciencia
- conciencia
- desfallecer
- desvanecerse
- dominio
- error
- orientación
- parcela
- revelar
- sentida
- sentido
- experiencia
- perder
- pérdida
- reanimar
- recobrar
- saber
English:
acquaintance
- air
- black out
- blackout
- cognizance
- come to
- comprehensive
- consciousness
- familiarity
- grounding
- improve
- knock out
- knowledge
- notice
- privy
- recover
- self-awareness
- sketchy
- superficial
- thorough
- unconsciousness
- black
- knock
- know
- pass
* * *conocimiento nm1. [saber] knowledge;hablar/actuar con conocimiento de causa to know what one is talking about/doing;puso el robo en conocimiento de la policía she informed the police of the burglary;ponemos en su conocimiento que se ha detectado un error en el programa this is to inform you that an error has been detected in the program;no teníamos conocimiento de su dimisión we were not aware that he had resigned;al tener conocimiento del accidente, acudió inmediatamente al hospital when she found out about the accident she immediately went to the hospital;ha llegado a mi conocimiento que estás insatisfecho it has come to my attention that you are not happy2.conocimientos [nociones] knowledge;tengo algunos conocimientos de informática I have some knowledge of computers, I know a bit about computers;nuestros conocimientos acerca de la enfermedad son muy limitados our knowledge of the disease is very limited, we know very little about the disease3. [sentido, conciencia] consciousness;perder el conocimiento to lose consciousness;recobrar el conocimiento to regain consciousness;estaba tumbado en el suelo, sin conocimiento he was lying unconscious on the floor4. [juicio] (common) sense;no tiene todavía conocimiento para saber lo que es peligroso he doesn't yet have a sense of danger* * *m1 knowledge;poner alguien en conocimiento de algo inform s.o. of sth;para su conocimiento for your information;conocimientos pl ( nociones) knowledge sg2 MED consciousness;perder el conocimiento lose consciousness;sin conocimiento unconscious;recobrar el conocimiento regain consciousness* * *conocimiento nm1) : knowledge2) sentido: consciousness* * *1. (en general) knowledge2. (sentido) consciousness -
14 oculto
adj.1 occult, hidden, secret, concealed.2 masked.3 larval.4 occult, supernatural, esoteric.5 latent.pres.indicat.1st person singular (yo) present indicative of spanish verb: ocultar.* * *► adjetivo1 (escondido) hidden2 (misterioso) cryptic; (esotérico) occult* * *(f. - oculta)adj.concealed, hidden* * *ADJ1) (=escondido) hidden, concealed2) (=misterioso) [gen] mysterious; [pensamiento] inner, secret; [motivo] ulterior3) [poderes] occultciencia 2)* * *- ta adjetivoa) [ESTAR] ( escondido) hiddenb) [SER] ( misterioso) <razón/designio> mysterious, occult* * *= veiled, disguised, in disguise, undisclosed, unrevealed, buried.Ex. The question of ideological thought (in the sense of a veiled interest-determined trend of thought) is again rearing its head in present times.Ex. One great danger in budgeting is the problem of disguised needs.Ex. The author addresses the question of whether a metadata specialist is really a cataloguer in disguise.Ex. These records reveal facts about individuals and business entities that the parties concerned might prefer undisclosed.Ex. More than half the paintings in the exhibition represented groups of people watching interesting spectacles, some of which were unrevealed.Ex. This new signal processing technique improves the detectability of buried anti-personnel land mines using a ground penetrating radar.----* cámara oculta = hidden camera.* cara oculta, la = dark side, the.* lugar oculto = hidden storage place, secret storage location, secret storage place, secret holding location, secret cell.* mantener oculto = keep + Nombre + under wraps.* no hay nada oculto = what you see is what you get.* oculto = lie + hidden.* palabra oculta = hidden word.* peligro oculto = hidden danger.* placer oculto = guilty pleasure.* subdivisión jerárquica oculta = hidden link.* web oculta, la = hidden Web, the.* yacer oculto = lie + hidden.* * *- ta adjetivoa) [ESTAR] ( escondido) hiddenb) [SER] ( misterioso) <razón/designio> mysterious, occult* * *= veiled, disguised, in disguise, undisclosed, unrevealed, buried.Ex: The question of ideological thought (in the sense of a veiled interest-determined trend of thought) is again rearing its head in present times.
Ex: One great danger in budgeting is the problem of disguised needs.Ex: The author addresses the question of whether a metadata specialist is really a cataloguer in disguise.Ex: These records reveal facts about individuals and business entities that the parties concerned might prefer undisclosed.Ex: More than half the paintings in the exhibition represented groups of people watching interesting spectacles, some of which were unrevealed.Ex: This new signal processing technique improves the detectability of buried anti-personnel land mines using a ground penetrating radar.* cámara oculta = hidden camera.* cara oculta, la = dark side, the.* lugar oculto = hidden storage place, secret storage location, secret storage place, secret holding location, secret cell.* mantener oculto = keep + Nombre + under wraps.* no hay nada oculto = what you see is what you get.* oculto = lie + hidden.* palabra oculta = hidden word.* peligro oculto = hidden danger.* placer oculto = guilty pleasure.* subdivisión jerárquica oculta = hidden link.* web oculta, la = hidden Web, the.* yacer oculto = lie + hidden.* * *oculto -ta1 [ ESTAR] (escondido) hiddenpermanecieron ocultos hasta que pasó el peligro they stayed hidden until the danger had passed2 [ SER] (misterioso) ‹razón/designio› mysterious, secret, occult ciencia* * *
Del verbo ocultar: ( conjugate ocultar)
oculto es:
1ª persona singular (yo) presente indicativo
ocultó es:
3ª persona singular (él/ella/usted) pretérito indicativo
Multiple Entries:
ocultar
oculto
ocultar ( conjugate ocultar) verbo transitivo ( en general) to conceal, hide;
‹ persona› to hide;
ocultole algo A algn to conceal o hide sth from sb
ocultarse verbo pronominal
oculto◊ -ta adjetivo
ocultar verbo transitivo to conceal, hide: no nos ocultes la verdad, don't hide the truth from us
oculto,-a adjetivo concealed, hidden
' oculto' also found in these entries:
Spanish:
descubrir
- oculta
- disimulado
- esconder
- escondido
- ocultar
English:
bug
- concealed
- hidden
- low
- occult
- secret
- ulterior
- bury
- keep
- unseen
* * *oculto, -a adj1. [escondido] hidden2. [que se desconoce] secret, hidden;su objetivo oculto his secret goal3. [sobrenatural] occult;las ciencias ocultas the occult sciences, the occult;lo oculto the occult* * *adj1 hidden2 ( sobrenatural) occult;las ciencias ocultas the occult* * *oculto, -ta adj1) escondido: hidden, concealed2) : occult* * *oculto adj hidden / concealed -
15 information
noun (facts told or knowledge gained or given: Can you give me any information about this writer?; the latest information on the progress of the war; He is full of interesting bits of information.) informacióninformation n informacióntr[ɪnfə'meɪʃən]■ for further information... para más información...■ a useful piece/bit of information una información útil, un dato útil\SMALLIDIOMATIC EXPRESSION/SMALLclassified information información nombre femenino secretainformation bureau centro de informacióninformation desk información nombre femeninoinformation science /information technology informáticainformation society sociedad nombre femenino de la informacióninformation superhighway superautopista de la informacióninformation [.ɪnfər'meɪʃən] n: información fn.• aviso s.m.• chivatazo s.m.• conocimientos s.m.pl.• datos s.m.pl.• delación s.f.• información s.f.• informe s.m.• noticia s.f.• noticias s.f.pl.• razón s.f.'ɪnfər'meɪʃən, ˌɪnfə'meɪʃənmass nouna) (facts, news) información ffor more/further information write to... — para más/mayor información diríjase a...
information ABOUT o ON something/somebody — información f acerca de or sobre algo/alguien
for your information — para su información, a título informativo (frml)
for your information I do not read other people's letters — para que te enteres, yo no tengo por costumbre leer la correspondencia ajena; (before n)
information network — red f informativa
b) (AmE Telec) información f, servicio m de información telefónica[ˌɪnfǝ'meɪʃǝn]1.N información f ; (=knowledge) conocimientos mplto gather information about or on sth — reunir información sobre algo, informarse sobre algo
to give sb information about or on sth/sb — proporcionar información a algn sobre algo/algn
who gave you this information? — ¿quién le dio esta información?
we weren't given enough information about the risks involved — no nos informaron suficientemente sobre los riesgos que entrañaba
for your information, I asked him to come! — para que te enteres, ¡le pedí que viniera!
2.CPDinformation architecture N — arquitectura f de la información
information bureau N — oficina f de información
information centre N — centro m de información
information desk N — información f
information gathering N — recabado m de información
•
the information highway — la autopista or (LAm) la carretera de la informacióninformation office N — = information bureau
information overload N — sobrecarga f de información
information pack N — (Brit) material m informativo
information processing N — procesamiento m de la información
information retrieval N — recuperación f de la información
information science N — informática f, gestión f de la información
information service N — servicio m de información
information superhighway N — superautopista f de la información
information theory N — teoría f de la información
* * *['ɪnfər'meɪʃən, ˌɪnfə'meɪʃən]mass nouna) (facts, news) información ffor more/further information write to... — para más/mayor información diríjase a...
information ABOUT o ON something/somebody — información f acerca de or sobre algo/alguien
for your information — para su información, a título informativo (frml)
for your information I do not read other people's letters — para que te enteres, yo no tengo por costumbre leer la correspondencia ajena; (before n)
information network — red f informativa
b) (AmE Telec) información f, servicio m de información telefónica -
16 Computers
The brain has been compared to a digital computer because the neuron, like a switch or valve, either does or does not complete a circuit. But at that point the similarity ends. The switch in the digital computer is constant in its effect, and its effect is large in proportion to the total output of the machine. The effect produced by the neuron varies with its recovery from [the] refractory phase and with its metabolic state. The number of neurons involved in any action runs into millions so that the influence of any one is negligible.... Any cell in the system can be dispensed with.... The brain is an analogical machine, not digital. Analysis of the integrative activities will probably have to be in statistical terms. (Lashley, quoted in Beach, Hebb, Morgan & Nissen, 1960, p. 539)It is essential to realize that a computer is not a mere "number cruncher," or supercalculating arithmetic machine, although this is how computers are commonly regarded by people having no familiarity with artificial intelligence. Computers do not crunch numbers; they manipulate symbols.... Digital computers originally developed with mathematical problems in mind, are in fact general purpose symbol manipulating machines....The terms "computer" and "computation" are themselves unfortunate, in view of their misleading arithmetical connotations. The definition of artificial intelligence previously cited-"the study of intelligence as computation"-does not imply that intelligence is really counting. Intelligence may be defined as the ability creatively to manipulate symbols, or process information, given the requirements of the task in hand. (Boden, 1981, pp. 15, 16-17)The task is to get computers to explain things to themselves, to ask questions about their experiences so as to cause those explanations to be forthcoming, and to be creative in coming up with explanations that have not been previously available. (Schank, 1986, p. 19)In What Computers Can't Do, written in 1969 (2nd edition, 1972), the main objection to AI was the impossibility of using rules to select only those facts about the real world that were relevant in a given situation. The "Introduction" to the paperback edition of the book, published by Harper & Row in 1979, pointed out further that no one had the slightest idea how to represent the common sense understanding possessed even by a four-year-old. (Dreyfus & Dreyfus, 1986, p. 102)A popular myth says that the invention of the computer diminishes our sense of ourselves, because it shows that rational thought is not special to human beings, but can be carried on by a mere machine. It is a short stop from there to the conclusion that intelligence is mechanical, which many people find to be an affront to all that is most precious and singular about their humanness.In fact, the computer, early in its career, was not an instrument of the philistines, but a humanizing influence. It helped to revive an idea that had fallen into disrepute: the idea that the mind is real, that it has an inner structure and a complex organization, and can be understood in scientific terms. For some three decades, until the 1940s, American psychology had lain in the grip of the ice age of behaviorism, which was antimental through and through. During these years, extreme behaviorists banished the study of thought from their agenda. Mind and consciousness, thinking, imagining, planning, solving problems, were dismissed as worthless for anything except speculation. Only the external aspects of behavior, the surface manifestations, were grist for the scientist's mill, because only they could be observed and measured....It is one of the surprising gifts of the computer in the history of ideas that it played a part in giving back to psychology what it had lost, which was nothing less than the mind itself. In particular, there was a revival of interest in how the mind represents the world internally to itself, by means of knowledge structures such as ideas, symbols, images, and inner narratives, all of which had been consigned to the realm of mysticism. (Campbell, 1989, p. 10)[Our artifacts] only have meaning because we give it to them; their intentionality, like that of smoke signals and writing, is essentially borrowed, hence derivative. To put it bluntly: computers themselves don't mean anything by their tokens (any more than books do)-they only mean what we say they do. Genuine understanding, on the other hand, is intentional "in its own right" and not derivatively from something else. (Haugeland, 1981a, pp. 32-33)he debate over the possibility of computer thought will never be won or lost; it will simply cease to be of interest, like the previous debate over man as a clockwork mechanism. (Bolter, 1984, p. 190)t takes us a long time to emotionally digest a new idea. The computer is too big a step, and too recently made, for us to quickly recover our balance and gauge its potential. It's an enormous accelerator, perhaps the greatest one since the plow, twelve thousand years ago. As an intelligence amplifier, it speeds up everything-including itself-and it continually improves because its heart is information or, more plainly, ideas. We can no more calculate its consequences than Babbage could have foreseen antibiotics, the Pill, or space stations.Further, the effects of those ideas are rapidly compounding, because a computer design is itself just a set of ideas. As we get better at manipulating ideas by building ever better computers, we get better at building even better computers-it's an ever-escalating upward spiral. The early nineteenth century, when the computer's story began, is already so far back that it may as well be the Stone Age. (Rawlins, 1997, p. 19)According to weak AI, the principle value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion than before. But according to strong AI the computer is not merely a tool in the study of the mind; rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states. And according to strong AI, because the programmed computer has cognitive states, the programs are not mere tools that enable us to test psychological explanations; rather, the programs are themselves the explanations. (Searle, 1981b, p. 353)What makes people smarter than machines? They certainly are not quicker or more precise. Yet people are far better at perceiving objects in natural scenes and noting their relations, at understanding language and retrieving contextually appropriate information from memory, at making plans and carrying out contextually appropriate actions, and at a wide range of other natural cognitive tasks. People are also far better at learning to do these things more accurately and fluently through processing experience.What is the basis for these differences? One answer, perhaps the classic one we might expect from artificial intelligence, is "software." If we only had the right computer program, the argument goes, we might be able to capture the fluidity and adaptability of human information processing. Certainly this answer is partially correct. There have been great breakthroughs in our understanding of cognition as a result of the development of expressive high-level computer languages and powerful algorithms. However, we do not think that software is the whole story.In our view, people are smarter than today's computers because the brain employs a basic computational architecture that is more suited to deal with a central aspect of the natural information processing tasks that people are so good at.... hese tasks generally require the simultaneous consideration of many pieces of information or constraints. Each constraint may be imperfectly specified and ambiguous, yet each can play a potentially decisive role in determining the outcome of processing. (McClelland, Rumelhart & Hinton, 1986, pp. 3-4)Historical dictionary of quotations in cognitive science > Computers
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17 information
1. n информация, сведения, данныеprivileged information — информация, не подлежащая оглашению, конфиденциальная информация
proprietary information — секрет фирмы, производственная информация, являющаяся собственностью фирмы
2. n оповещение, сообщение, передача сведенийinformation address — адрес сообщения "для информации"
3. n осведомлённость; знания, познания4. n юр. жалоба; донос5. n юр. заявление об обвинении6. n юр. радио данные, переданные на несущей частоте7. n юр. разведывательные данные8. n юр. амер. справочнаяСинонимический ряд:1. facts (noun) data; facts; intelligence2. knowledge (noun) advice; data; details; facts; figures; intelligence; knowledge; lore; material; news; science; speerings; tidings; tip; wisdom; wordАнтонимический ряд:conjecture; hiding; ignorance; mystification -
18 material
1. [məʹtı(ə)rıəl] n1. 1) материал, веществоmaterials handling - а) тех. обработка материалов (тж. material processing); б) погрузка-разгрузка сыпучих материалов
2) материал; кадрыthe schools are not producing enough good material - школы выпускают недостаточно подготовленных кадров
2. 1) данные, факты, материалillustrative material - иллюстративный материал, примеры
reference material - справочный материал, наглядные пособия
to collect material for a literary work [for a report] - собирать материал для художественного произведения [для доклада]
he is looking for material for a TV programme - он ищет материал для телевизионной передачи
we have enough material against him - мы собрали достаточно материала на него
2) темаmaterial for thought - материал /тема/ для размышлений
3. текст. ткань, материя (тж. dress material)4. pl принадлежности2. [məʹtı(ə)rıəl] a1. материальный, вещественный2. телесный, плотский, физический; материальный ( не духовный)material pleasures - плотские /чувственные/ удовольствия /радости/
to have enough for one's material needs - иметь достаточно для удовлетворения своих физических потребностей
3. имущественный, денежный; материальный, относящийся к средствам существования4. существенный, важный, значительныйmaterial to smb., smth. - существенный, имеющий значение для кого-л., чего-л.
facts which are not material to the point in question - несущественные факты, факты, не имеющие отношения к разбираемому вопросу
material evidence - юр. а) существенные показания; б) вещественные доказательства
material issue - юр. существенное возражение
material witness - важный свидетель; свидетель, показания которого имеют существенное значение
he has been of material service to me - он оказал мне важную /значительную/ услугу
we must make material changes in our plan - нам придётся внести существенные /коренные, важные/ изменения в наш план
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19 дело
сущ.affair; ( занятие) business; work; (начинание, предприятие) business; undertaking; (предмет, цель) cause; юр case; ( досье) record of the proceeding(s)вести дела — ( бизнес) to do (carry on, transact) business; (возглавлять фирму и т.п.) to conduct (handle, run) a business; ( чьи-л дела) to administer (handle) smb's affairs
вести дело — юр to conduct (plead, prosecute) a case (an action); ( об убийстве) to handle a murder case; ( о наркотиках) to handle a drug case; (о преступлении, за которое законом предусмотрена смертная казнь) to handle a capital case (a death penalty case); ( о разводе) to handle a divorce case (smb's divorce)
вмешиваться (совать нос) не в свои (в чужие) дела — to interfere (meddle) in smb's affairs; ( выслеживать тж) разг to snoop around
возбуждать дело — ( против) to bring (commence, enter, file, initiate, lay, start) an action (a suit) ( against);bring (initiate) a case before the court; initiate (institute, take) a legal action (the proceeding|s) ( against); sue; ( об уголовном деле тж) to institute a criminal charge ( against)
закрыть (судебное) дело — to dismiss a case; close the file
защищать дело — ( в суде) to plead a case (a cause) ( in court)
излагать дело — ( в суде) to present a case; lay a case before the court
изымать дело — ( из производства) to eject a case
направлять (передавать) дело в арбитраж (в суд) — to submit (refer, take) a case (a matter) to arbitration (to the court); ( в вышестоящую инстанцию тж) to send up a case; ( на доследование) to remit a case for further inquiry (investigation); ( на повторное рассмотрение) to send a matter (a case) back for a new trial
ознакомиться с материалами дела — to become acquainted (familiar) (familiarize oneself) with all materials of the case
открывать своё дело — комм to start one's own business
пересматривать дело — ( в суде) to reconsider (re-examine, retry) a case
поручать судебное дело — ( кому-л) to assign a case (to)
прекращать дело (производство по делу) — to abate a suit; close a file; dismiss an action (a case); eliminate (terminate) the proceeding(s); ( по обвинению) to dismiss a charge ( against); vindicate ( smb) from a charge; ( уголовное производство) to eliminate (terminate) criminal proceeding(s) ( against)
препятствовать расследованию дела — to impede (obstruct) the investigation into the matter (of a case)
принимать дело к производству — to accept a matter for processing; initiate proceeding(s) (in a case); take over a case; (о преступлении, за которое законом предусмотрена смертная казнь) to take a capital case (a death penalty case)
проиграть дело — ( в суде) to lose an action (a case); ( вследствие неявки в суд) to lose (suffer) by default
разрешать дело — ( в суде) to decide (dispose of, resolve, settle) a case
рассматривать (слушать) дело — ( в суде) to consider (examine, hear, try) a case; have a case under consideration; hold a plea; ( no обвинению) to probe a charge
уладить дело (к удовлетворению сторон) — to adjust (resolve, settle) a matter (to the satisfaction of the parties)
ускорить рассмотрение дела — to expedite (fast-track, speed up) a case (a matter)
по рассмотрении дела — ( в суде) after a trial
возвращение дела — ( апелляционным судом в нижестоящий суд) remittitur
возобновление дела — юр revivor
данные по делу — case findings; data of a case
материалы дела — materials of a case; materials relating to a case (to a matter)
не относящийся к делу — impertinent; irrelevant; redundant
относящийся к делу — pertinent; relevant
пересмотр дела — reconsideration (re-examination) of a case; retrial; trial de novo
прекращение (судебного) дела (производства по делу) (за недостатком улик / за отсутствием состава преступления) — abatement of action (of a suit); dismissal of action (of a case); elimination (termination) of judicial (legal) proceeding(s) (for lack of evidence / for lack of corpus delicti); ( до суда) pretrial dismissal
разбирательство (рассмотрение, слушание) дела — consideration (examination, hearing) of a case; proceeding(s); trial; ( в открытом заседании) public hearing
разрешение дела — ( в суде) decision (disposition, resolution, settlement) of a case ( in court)
слушание дела — hearing of a case; ( о помиловании) clemency hearing
стороны по делу — parties to a case (to an action, a lawsuit)
дела, входящие во внутреннюю компетенцию государства — matters within the domestic jurisdiction of a state
дела, объединённые в одно производство — consolidated cases
дело, за ведение которого адвокат не получает гонорара — ( в порядке благотворительности) pro bono case
дело, затрагивающее общественные интересы — matter of public concern
дело на рассмотрении суда (на стадии судебного разбирательства) — case at bar; pending lawsuit (matter)
дело, находящееся в производстве — case in charge
дело об ответственности производителя — ( перед потребителем за качество товара) product liability case
дело о насилии в семье, дело о жестоком обращении в семье — domestic abuse case
дело о недобросовестном исполнении — (своих обязательств, обязанностей) bad-faith action (case)
дело о штрафных санкциях, дело о штрафных убытках — punitive damages case
дело, подлежащее судебному рассмотрению — case for a trial
дело, принятое судом к производству — matter accepted for processing (for a trial in court)
дело, рассматриваемое с участием присяжных — jury case
дело, являющееся предметом спора — case (matter) in dispute; point at issue
- дело, выигранное обвинениемсомнительные финансовые дела, тёмные финансовые дела — shady financial deals
- дело о банкротстве
- дело об установлении отцовства
- дело о возмещении ущерба
- дело о диффамации
- дело о завещании
- дело о мошенничестве
- дело о наркотиках
- дело о патенте
- дело о поджоге
- дело о приоритете
- дело о разводе
- дело о содержании ребёнка
- дело о страховании
- дело о товарном знаке
- дело по обвинению в клевете
- дело, подсудное Верховному суду
- дело практики
- банковское дело
- бездоказательное дело
- безнадёжное дело
- безотлагательное дело - выгодное дело
- гражданское дело
- громкое дело
- иностранные дела
- конкретное дело
- конфиденциальное дело - неотложное дело
- обычное дело
- рассматриваемое дело
- служебное дело
- спорное дело
- срочное дело
- судебное дело
- сфабрикованное дело
- трудовое дело
- частное дело* * *1) business; 2) case -
20 data
• tosiseikat• data• aineisto• asiatiedot• tiedotautomatic data processing• tieto (ATK)• tieto• tieto(tietotekn)• tarkastella(tietoja)* * *(or noun singular facts or information (especially the information given to a computer): All the data has/have been fed into the computer.) tieto, tiedot- database- data-processing
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