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At a buffet service where all food is arranged on tables and do not take orders, the most polite and adequate
instruction a waiter should give to customers is:

What do you think should be the most important quality of a hotel manager? If someone were to ask me, I’d say it would be the capability to communicate effectively with the staff, colleagues and guests. In this new age of electronic communication, one should not forget that effective verbal and non-verbal communication skills should be emphasized and wellexecuted in the hospitality industry.
Compelling communication skills are important in a hotel regardless of some staff members not being guest-facing. A few hotels spend considerable amount of money on training their staff to interact with the guests. Good communication skills are a learned art and not a natural skill so one should consider training to enhance staff skills. Excellent communication skills enhance guest experience as this conveys that you are listening to your guests, valuing their feedback and conveying clear messages. Apart from communicating with the guests, your staff ought to know how to write emails. Good communication skills will impress your guests which will further prove beneficial to your hotel business.
Not only does the staff need to communicate successfully with the guests but also with other department employees. Few of the staff members might be able to speak in manageable English but those who don’t have English as their first language suffer due to their inability and fail to understand simple instructions and information […] Hotels should emphasize on providing communication skills training courses which cover everything from basic communication techniques to advanced empathy skills program.
(adapted from http://www.hotelogix.com/blog/2014/10/17/benefits-of-effectivecommunication-in-the-hotel-industry/)

What do you think should be the most important quality of a hotel manager? If someone were to ask me, I’d say it would be the capability to communicate effectively with the staff, colleagues and guests. In this new age of electronic communication, one should not forget that effective verbal and non-verbal communication skills should be emphasized and wellexecuted in the hospitality industry.
Compelling communication skills are important in a hotel regardless of some staff members not being guest-facing. A few hotels spend considerable amount of money on training their staff to interact with the guests. Good communication skills are a learned art and not a natural skill so one should consider training to enhance staff skills. Excellent communication skills enhance guest experience as this conveys that you are listening to your guests, valuing their feedback and conveying clear messages. Apart from communicating with the guests, your staff ought to know how to write emails. Good communication skills will impress your guests which will further prove beneficial to your hotel business.
Not only does the staff need to communicate successfully with the guests but also with other department employees. Few of the staff members might be able to speak in manageable English but those who don’t have English as their first language suffer due to their inability and fail to understand simple instructions and information […] Hotels should emphasize on providing communication skills training courses which cover everything from basic communication techniques to advanced empathy skills program.
(adapted from http://www.hotelogix.com/blog/2014/10/17/benefits-of-effectivecommunication-in-the-hotel-industry/)
Resumos relacionados
Advérbios e conjunções em inglês para concursos públicos
O estudo de advérbios e conjunções na língua inglesa é fundamental para quem deseja se destacar em provas de concursos públicos. Esses elementos desempenham papéis essenciais na construção de frases, influenciando diretamente o sentido e a coesão textual, habilidades bastante exigidas nas questões de interpretação e compreensão de textos em inglês.
Artigos (Articles) em inglês: uso em concursos públicos
Artigos (Articles) são palavras essenciais na gramática da língua inglesa, usadas para indicar se um substantivo está sendo mencionado de forma específica ou geral. Eles desempenham papel fundamental em provas de concursos, pois ajudam na compreensão e interpretação dos textos, além de serem frequentemente cobrados em questões envolvendo uso correto de estruturas gramaticais.

What do you think should be the most important quality of a hotel manager? If someone were to ask me, I’d say it would be the capability to communicate effectively with the staff, colleagues and guests. In this new age of electronic communication, one should not forget that effective verbal and non-verbal communication skills should be emphasized and wellexecuted in the hospitality industry.
Compelling communication skills are important in a hotel regardless of some staff members not being guest-facing. A few hotels spend considerable amount of money on training their staff to interact with the guests. Good communication skills are a learned art and not a natural skill so one should consider training to enhance staff skills. Excellent communication skills enhance guest experience as this conveys that you are listening to your guests, valuing their feedback and conveying clear messages. Apart from communicating with the guests, your staff ought to know how to write emails. Good communication skills will impress your guests which will further prove beneficial to your hotel business.
Not only does the staff need to communicate successfully with the guests but also with other department employees. Few of the staff members might be able to speak in manageable English but those who don’t have English as their first language suffer due to their inability and fail to understand simple instructions and information […] Hotels should emphasize on providing communication skills training courses which cover everything from basic communication techniques to advanced empathy skills program.
(adapted from http://www.hotelogix.com/blog/2014/10/17/benefits-of-effectivecommunication-in-the-hotel-industry/)

What do you think should be the most important quality of a hotel manager? If someone were to ask me, I’d say it would be the capability to communicate effectively with the staff, colleagues and guests. In this new age of electronic communication, one should not forget that effective verbal and non-verbal communication skills should be emphasized and wellexecuted in the hospitality industry.
Compelling communication skills are important in a hotel regardless of some staff members not being guest-facing. A few hotels spend considerable amount of money on training their staff to interact with the guests. Good communication skills are a learned art and not a natural skill so one should consider training to enhance staff skills. Excellent communication skills enhance guest experience as this conveys that you are listening to your guests, valuing their feedback and conveying clear messages. Apart from communicating with the guests, your staff ought to know how to write emails. Good communication skills will impress your guests which will further prove beneficial to your hotel business.
Not only does the staff need to communicate successfully with the guests but also with other department employees. Few of the staff members might be able to speak in manageable English but those who don’t have English as their first language suffer due to their inability and fail to understand simple instructions and information […] Hotels should emphasize on providing communication skills training courses which cover everything from basic communication techniques to advanced empathy skills program.
(adapted from http://www.hotelogix.com/blog/2014/10/17/benefits-of-effectivecommunication-in-the-hotel-industry/)
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
TEXT II
The backlash against big data
[…]
Big data refers to the idea that society can do things with a large body of data that weren’t possible when working with smaller amounts. The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on. Now it refers to the application of data-analysis and statistics in new areas, from retailing to human resources. The backlash began in mid-March, prompted by an article in Science by David Lazer and others at Harvard and Northeastern University. It showed that a big-data poster-child—Google Flu Trends, a 2009 project which identified flu outbreaks from search queries alone—had overestimated the number of cases for four years running, compared with reported data from the Centres for Disease Control (CDC). This led to a wider attack on the idea of big data.
The criticisms fall into three areas that are not intrinsic to big data per se, but endemic to data analysis, and have some merit. First, there are biases inherent to data that must not be ignored. That is undeniably the case. Second, some proponents of big data have claimed that theory (ie, generalisable models about how the world works) is obsolete. In fact, subject-area knowledge remains necessary even when dealing with large data sets. Third, the risk of spurious correlations—associations that are statistically robust but happen only by chance—increases with more data. Although there are new statistical techniques to identify and banish spurious correlations, such as running many tests against subsets of the data, this will always be a problem.
There is some merit to the naysayers' case, in other words. But these criticisms do not mean that big-data analysis has no merit whatsoever. Even the Harvard researchers who decried big data "hubris" admitted in Science that melding Google Flu Trends analysis with CDC’s data improved the overall forecast—showing that big data can in fact be a useful tool. And research published in PLOS Computational Biology on April 17th shows it is possible to estimate the prevalence of the flu based on visits to Wikipedia articles related to the illness. Behind the big data backlash is the classic hype cycle, in which a technology’s early proponents make overly grandiose claims, people sling arrows when those promises fall flat, but the technology eventually transforms the world, though not necessarily in ways the pundits expected. It happened with the web, and television, radio, motion pictures and the telegraph before it. Now it is simply big data’s turn to face the grumblers.
(From http://www.economist.com/blogs/economist explains/201 4/04/economist-explains-10)
TEXT I
Will computers ever truly understand what we’re saying?
Date: January 11, 2016
Source University of California - Berkeley
Summary:
If you think computers are quickly approaching true human communication, think again. Computers like Siri often get confused because they judge meaning by looking at a word’s statistical regularity. This is unlike humans, for whom context is more important than the word or signal, according to a researcher who invented a communication game allowing only nonverbal cues, and used it to pinpoint regions of the brain where mutual understanding takes place.
From Apple’s Siri to Honda’s robot Asimo, machines seem to be getting better and better at communicating with humans. But some neuroscientists caution that today’s computers will never truly understand what we’re saying because they do not take into account the context of a conversation the way people do.
Specifically, say University of California, Berkeley, postdoctoral fellow Arjen Stolk and his Dutch colleagues, machines don’t develop a shared understanding of the people, place and situation - often including a long social history - that is key to human communication. Without such common ground, a computer cannot help but be confused.
“People tend to think of communication as an exchange of linguistic signs or gestures, forgetting that much of communication is about the social context, about who you are communicating with,” Stolk said.
The word “bank,” for example, would be interpreted one way if you’re holding a credit card but a different way if you’re holding a fishing pole. Without context, making a “V” with two fingers could mean victory, the number two, or “these are the two fingers I broke.”
“All these subtleties are quite crucial to understanding one another,” Stolk said, perhaps more so than the words and signals that computers and many neuroscientists focus on as the key to communication. “In fact, we can understand one another without language, without words and signs that already have a shared meaning.”
(Adapted from http://www.sciencedaily.com/releases/2016/01/1 60111135231.htm)
TEXT I
Will computers ever truly understand what we’re saying?
Date: January 11, 2016
Source University of California - Berkeley
Summary:
If you think computers are quickly approaching true human communication, think again. Computers like Siri often get confused because they judge meaning by looking at a word’s statistical regularity. This is unlike humans, for whom context is more important than the word or signal, according to a researcher who invented a communication game allowing only nonverbal cues, and used it to pinpoint regions of the brain where mutual understanding takes place.
From Apple’s Siri to Honda’s robot Asimo, machines seem to be getting better and better at communicating with humans. But some neuroscientists caution that today’s computers will never truly understand what we’re saying because they do not take into account the context of a conversation the way people do.
Specifically, say University of California, Berkeley, postdoctoral fellow Arjen Stolk and his Dutch colleagues, machines don’t develop a shared understanding of the people, place and situation - often including a long social history - that is key to human communication. Without such common ground, a computer cannot help but be confused.
“People tend to think of communication as an exchange of linguistic signs or gestures, forgetting that much of communication is about the social context, about who you are communicating with,” Stolk said.
The word “bank,” for example, would be interpreted one way if you’re holding a credit card but a different way if you’re holding a fishing pole. Without context, making a “V” with two fingers could mean victory, the number two, or “these are the two fingers I broke.”
“All these subtleties are quite crucial to understanding one another,” Stolk said, perhaps more so than the words and signals that computers and many neuroscientists focus on as the key to communication. “In fact, we can understand one another without language, without words and signs that already have a shared meaning.”
(Adapted from http://www.sciencedaily.com/releases/2016/01/1 60111135231.htm)
TEXT I
Will computers ever truly understand what we’re saying?
Date: January 11, 2016
Source University of California - Berkeley
Summary:
If you think computers are quickly approaching true human communication, think again. Computers like Siri often get confused because they judge meaning by looking at a word’s statistical regularity. This is unlike humans, for whom context is more important than the word or signal, according to a researcher who invented a communication game allowing only nonverbal cues, and used it to pinpoint regions of the brain where mutual understanding takes place.
From Apple’s Siri to Honda’s robot Asimo, machines seem to be getting better and better at communicating with humans. But some neuroscientists caution that today’s computers will never truly understand what we’re saying because they do not take into account the context of a conversation the way people do.
Specifically, say University of California, Berkeley, postdoctoral fellow Arjen Stolk and his Dutch colleagues, machines don’t develop a shared understanding of the people, place and situation - often including a long social history - that is key to human communication. Without such common ground, a computer cannot help but be confused.
“People tend to think of communication as an exchange of linguistic signs or gestures, forgetting that much of communication is about the social context, about who you are communicating with,” Stolk said.
The word “bank,” for example, would be interpreted one way if you’re holding a credit card but a different way if you’re holding a fishing pole. Without context, making a “V” with two fingers could mean victory, the number two, or “these are the two fingers I broke.”
“All these subtleties are quite crucial to understanding one another,” Stolk said, perhaps more so than the words and signals that computers and many neuroscientists focus on as the key to communication. “In fact, we can understand one another without language, without words and signs that already have a shared meaning.”
(Adapted from http://www.sciencedaily.com/releases/2016/01/1 60111135231.htm)
TEXT I
Will computers ever truly understand what we’re saying?
Date: January 11, 2016
Source University of California - Berkeley
Summary:
If you think computers are quickly approaching true human communication, think again. Computers like Siri often get confused because they judge meaning by looking at a word’s statistical regularity. This is unlike humans, for whom context is more important than the word or signal, according to a researcher who invented a communication game allowing only nonverbal cues, and used it to pinpoint regions of the brain where mutual understanding takes place.
From Apple’s Siri to Honda’s robot Asimo, machines seem to be getting better and better at communicating with humans. But some neuroscientists caution that today’s computers will never truly understand what we’re saying because they do not take into account the context of a conversation the way people do.
Specifically, say University of California, Berkeley, postdoctoral fellow Arjen Stolk and his Dutch colleagues, machines don’t develop a shared understanding of the people, place and situation - often including a long social history - that is key to human communication. Without such common ground, a computer cannot help but be confused.
“People tend to think of communication as an exchange of linguistic signs or gestures, forgetting that much of communication is about the social context, about who you are communicating with,” Stolk said.
The word “bank,” for example, would be interpreted one way if you’re holding a credit card but a different way if you’re holding a fishing pole. Without context, making a “V” with two fingers could mean victory, the number two, or “these are the two fingers I broke.”
“All these subtleties are quite crucial to understanding one another,” Stolk said, perhaps more so than the words and signals that computers and many neuroscientists focus on as the key to communication. “In fact, we can understand one another without language, without words and signs that already have a shared meaning.”
(Adapted from http://www.sciencedaily.com/releases/2016/01/1 60111135231.htm)
Based on the summary provided for Text I, mark the statements below as TRUE (T) or FALSE (F).
( ) Contextual clues are still not accounted for by computers.
( ) Computers are unreliable because they focus on language patterns.
( ) A game has been invented based on the words people use.
The statements are, respectively:
TEXT I
Will computers ever truly understand what we’re saying?
Date: January 11, 2016
Source University of California - Berkeley
Summary:
If you think computers are quickly approaching true human communication, think again. Computers like Siri often get confused because they judge meaning by looking at a word’s statistical regularity. This is unlike humans, for whom context is more important than the word or signal, according to a researcher who invented a communication game allowing only nonverbal cues, and used it to pinpoint regions of the brain where mutual understanding takes place.
From Apple’s Siri to Honda’s robot Asimo, machines seem to be getting better and better at communicating with humans. But some neuroscientists caution that today’s computers will never truly understand what we’re saying because they do not take into account the context of a conversation the way people do.
Specifically, say University of California, Berkeley, postdoctoral fellow Arjen Stolk and his Dutch colleagues, machines don’t develop a shared understanding of the people, place and situation - often including a long social history - that is key to human communication. Without such common ground, a computer cannot help but be confused.
“People tend to think of communication as an exchange of linguistic signs or gestures, forgetting that much of communication is about the social context, about who you are communicating with,” Stolk said.
The word “bank,” for example, would be interpreted one way if you’re holding a credit card but a different way if you’re holding a fishing pole. Without context, making a “V” with two fingers could mean victory, the number two, or “these are the two fingers I broke.”
“All these subtleties are quite crucial to understanding one another,” Stolk said, perhaps more so than the words and signals that computers and many neuroscientists focus on as the key to communication. “In fact, we can understand one another without language, without words and signs that already have a shared meaning.”
(Adapted from http://www.sciencedaily.com/releases/2016/01/1 60111135231.htm)
TEXT III
Use of language in diplomacy
What language should one use when speaking to diplomats, or what language should diplomats use? Or, to be more precise, what language/languages should a (young) diplomat try to learn to be more successful in his profession?
The term "language in diplomacy" obviously can be interpreted in several ways. First, as tongue ("mother" tongue or an acquired one), the speech "used by one nation, tribe, or other similar large group of people"; in this sense we can say, for example, that French used to be the predominant diplomatic language in the first half of the 20th century. Second, as a special way of expressing the subtle needs of the diplomatic profession; in this way it can be said, for example, that the delegate of such-andsuch a country spoke of the given subject in totally nondiplomatic language. Also, the term can refer to the particular form, style, manner or tone of expression; such as the minister formulated his conditions in unusually strong language. It may mean as well the verbal or non-verbal expression of thoughts or feelings: sending the gunships is a language that everybody understands.
All of these meanings - and probably several others - can be utilised in both oral and written practice. In any of these senses, the use of language in diplomacy is of major importance, since language is not a simple tool, vehicle for transmission of thoughts, or instrument of communication, but very often the very essence of the diplomatic vocation, and that has been so from the early beginnings of our profession. That is why from early times the first envoys of the Egyptian pharaohs, Roman legates, mediaeval Dubrovnik consuls, etc., had to be educated and trained people, well-spoken and polyglots.
Let us first look into different aspects of diplomatic language in its basic meaning - that of a tongue. Obviously, the first problem to solve is finding a common tongue. Diplomats only exceptionally find themselves in the situation to be able to communicate in one language, common to all participants. This may be done between, for example, Germans and Austrians, or Portuguese and Brazilians, or representatives of different Arab countries, or British and Americans, etc. Not only are such occasions rare, but very often there is a serious difference between the same language used in one country and another.
There are several ways to overcome the problem of communication between people who speak different mother tongues. None of these ways is ideal. One solution, obviously, is that one of the interlocutors speaks the language of the other. Problems may arise: the knowledge of the language may not be adequate, one side is making a concession and the other has an immediate and significant advantage, there are possible political implications, it may be difficult to apply in multilateral diplomacy, etc. A second possibility is that both sides use a third, neutral, language. A potential problem may be that neither side possesses full linguistic knowledge and control, leading to possible bad misunderstandings. Nevertheless, this method is frequently applied in international practice because of its political advantages. A third formula, using interpreters, is also very widely used, particularly in multilateral diplomacy or for negotiations at a very high political level - not only for reasons of equity, but because politicians and statesmen often do not speak foreign languages. This method also has disadvantages: it is time consuming, costly, and sometimes inadequate or straightforwardly incorrect. […] Finally, there is the possibility of using one international synthetic, artificial language, such as Esperanto; this solution would have many advantages, but unfortunately is not likely to be implemented soon, mostly because of the opposition of factors that dominate in the international political - and therefore also cultural and linguistic - scene.
So, which language is the diplomatic one? The answer is not simple at all […].
Words are bricks from which sentences are made. Each sentence should be a wound-up thought. If one wants to be clear, and particularly when using a language which he does not master perfectly, it is better to use short, simple sentences. On the contrary, if one wishes to camouflage his thoughts or even not say anything specific, it can be well achieved by using a more complicated style, complex sentences, digressions, interrupting one's own flow of thought and introducing new topics. One may leave the impression of being a little confused, but the basic purpose of withholding the real answer can be accomplished.
(adapted from http://www.diplomacy.edu/books/language_and_
diplomacy/texts/pdf/nick.PDF)
TEXT III
Use of language in diplomacy
What language should one use when speaking to diplomats, or what language should diplomats use? Or, to be more precise, what language/languages should a (young) diplomat try to learn to be more successful in his profession?
The term "language in diplomacy" obviously can be interpreted in several ways. First, as tongue ("mother" tongue or an acquired one), the speech "used by one nation, tribe, or other similar large group of people"; in this sense we can say, for example, that French used to be the predominant diplomatic language in the first half of the 20th century. Second, as a special way of expressing the subtle needs of the diplomatic profession; in this way it can be said, for example, that the delegate of such-andsuch a country spoke of the given subject in totally nondiplomatic language. Also, the term can refer to the particular form, style, manner or tone of expression; such as the minister formulated his conditions in unusually strong language. It may mean as well the verbal or non-verbal expression of thoughts or feelings: sending the gunships is a language that everybody understands.
All of these meanings - and probably several others - can be utilised in both oral and written practice. In any of these senses, the use of language in diplomacy is of major importance, since language is not a simple tool, vehicle for transmission of thoughts, or instrument of communication, but very often the very essence of the diplomatic vocation, and that has been so from the early beginnings of our profession. That is why from early times the first envoys of the Egyptian pharaohs, Roman legates, mediaeval Dubrovnik consuls, etc., had to be educated and trained people, well-spoken and polyglots.
Let us first look into different aspects of diplomatic language in its basic meaning - that of a tongue. Obviously, the first problem to solve is finding a common tongue. Diplomats only exceptionally find themselves in the situation to be able to communicate in one language, common to all participants. This may be done between, for example, Germans and Austrians, or Portuguese and Brazilians, or representatives of different Arab countries, or British and Americans, etc. Not only are such occasions rare, but very often there is a serious difference between the same language used in one country and another.
There are several ways to overcome the problem of communication between people who speak different mother tongues. None of these ways is ideal. One solution, obviously, is that one of the interlocutors speaks the language of the other. Problems may arise: the knowledge of the language may not be adequate, one side is making a concession and the other has an immediate and significant advantage, there are possible political implications, it may be difficult to apply in multilateral diplomacy, etc. A second possibility is that both sides use a third, neutral, language. A potential problem may be that neither side possesses full linguistic knowledge and control, leading to possible bad misunderstandings. Nevertheless, this method is frequently applied in international practice because of its political advantages. A third formula, using interpreters, is also very widely used, particularly in multilateral diplomacy or for negotiations at a very high political level - not only for reasons of equity, but because politicians and statesmen often do not speak foreign languages. This method also has disadvantages: it is time consuming, costly, and sometimes inadequate or straightforwardly incorrect. […] Finally, there is the possibility of using one international synthetic, artificial language, such as Esperanto; this solution would have many advantages, but unfortunately is not likely to be implemented soon, mostly because of the opposition of factors that dominate in the international political - and therefore also cultural and linguistic - scene.
So, which language is the diplomatic one? The answer is not simple at all […].
Words are bricks from which sentences are made. Each sentence should be a wound-up thought. If one wants to be clear, and particularly when using a language which he does not master perfectly, it is better to use short, simple sentences. On the contrary, if one wishes to camouflage his thoughts or even not say anything specific, it can be well achieved by using a more complicated style, complex sentences, digressions, interrupting one's own flow of thought and introducing new topics. One may leave the impression of being a little confused, but the basic purpose of withholding the real answer can be accomplished.
(adapted from http://www.diplomacy.edu/books/language_and_
diplomacy/texts/pdf/nick.PDF)
TEXT III
Use of language in diplomacy
What language should one use when speaking to diplomats, or what language should diplomats use? Or, to be more precise, what language/languages should a (young) diplomat try to learn to be more successful in his profession?
The term "language in diplomacy" obviously can be interpreted in several ways. First, as tongue ("mother" tongue or an acquired one), the speech "used by one nation, tribe, or other similar large group of people"; in this sense we can say, for example, that French used to be the predominant diplomatic language in the first half of the 20th century. Second, as a special way of expressing the subtle needs of the diplomatic profession; in this way it can be said, for example, that the delegate of such-andsuch a country spoke of the given subject in totally nondiplomatic language. Also, the term can refer to the particular form, style, manner or tone of expression; such as the minister formulated his conditions in unusually strong language. It may mean as well the verbal or non-verbal expression of thoughts or feelings: sending the gunships is a language that everybody understands.
All of these meanings - and probably several others - can be utilised in both oral and written practice. In any of these senses, the use of language in diplomacy is of major importance, since language is not a simple tool, vehicle for transmission of thoughts, or instrument of communication, but very often the very essence of the diplomatic vocation, and that has been so from the early beginnings of our profession. That is why from early times the first envoys of the Egyptian pharaohs, Roman legates, mediaeval Dubrovnik consuls, etc., had to be educated and trained people, well-spoken and polyglots.
Let us first look into different aspects of diplomatic language in its basic meaning - that of a tongue. Obviously, the first problem to solve is finding a common tongue. Diplomats only exceptionally find themselves in the situation to be able to communicate in one language, common to all participants. This may be done between, for example, Germans and Austrians, or Portuguese and Brazilians, or representatives of different Arab countries, or British and Americans, etc. Not only are such occasions rare, but very often there is a serious difference between the same language used in one country and another.
There are several ways to overcome the problem of communication between people who speak different mother tongues. None of these ways is ideal. One solution, obviously, is that one of the interlocutors speaks the language of the other. Problems may arise: the knowledge of the language may not be adequate, one side is making a concession and the other has an immediate and significant advantage, there are possible political implications, it may be difficult to apply in multilateral diplomacy, etc. A second possibility is that both sides use a third, neutral, language. A potential problem may be that neither side possesses full linguistic knowledge and control, leading to possible bad misunderstandings. Nevertheless, this method is frequently applied in international practice because of its political advantages. A third formula, using interpreters, is also very widely used, particularly in multilateral diplomacy or for negotiations at a very high political level - not only for reasons of equity, but because politicians and statesmen often do not speak foreign languages. This method also has disadvantages: it is time consuming, costly, and sometimes inadequate or straightforwardly incorrect. […] Finally, there is the possibility of using one international synthetic, artificial language, such as Esperanto; this solution would have many advantages, but unfortunately is not likely to be implemented soon, mostly because of the opposition of factors that dominate in the international political - and therefore also cultural and linguistic - scene.
So, which language is the diplomatic one? The answer is not simple at all […].
Words are bricks from which sentences are made. Each sentence should be a wound-up thought. If one wants to be clear, and particularly when using a language which he does not master perfectly, it is better to use short, simple sentences. On the contrary, if one wishes to camouflage his thoughts or even not say anything specific, it can be well achieved by using a more complicated style, complex sentences, digressions, interrupting one's own flow of thought and introducing new topics. One may leave the impression of being a little confused, but the basic purpose of withholding the real answer can be accomplished.
(adapted from http://www.diplomacy.edu/books/language_and_
diplomacy/texts/pdf/nick.PDF)
TEXT III
Use of language in diplomacy
What language should one use when speaking to diplomats, or what language should diplomats use? Or, to be more precise, what language/languages should a (young) diplomat try to learn to be more successful in his profession?
The term "language in diplomacy" obviously can be interpreted in several ways. First, as tongue ("mother" tongue or an acquired one), the speech "used by one nation, tribe, or other similar large group of people"; in this sense we can say, for example, that French used to be the predominant diplomatic language in the first half of the 20th century. Second, as a special way of expressing the subtle needs of the diplomatic profession; in this way it can be said, for example, that the delegate of such-andsuch a country spoke of the given subject in totally nondiplomatic language. Also, the term can refer to the particular form, style, manner or tone of expression; such as the minister formulated his conditions in unusually strong language. It may mean as well the verbal or non-verbal expression of thoughts or feelings: sending the gunships is a language that everybody understands.
All of these meanings - and probably several others - can be utilised in both oral and written practice. In any of these senses, the use of language in diplomacy is of major importance, since language is not a simple tool, vehicle for transmission of thoughts, or instrument of communication, but very often the very essence of the diplomatic vocation, and that has been so from the early beginnings of our profession. That is why from early times the first envoys of the Egyptian pharaohs, Roman legates, mediaeval Dubrovnik consuls, etc., had to be educated and trained people, well-spoken and polyglots.
Let us first look into different aspects of diplomatic language in its basic meaning - that of a tongue. Obviously, the first problem to solve is finding a common tongue. Diplomats only exceptionally find themselves in the situation to be able to communicate in one language, common to all participants. This may be done between, for example, Germans and Austrians, or Portuguese and Brazilians, or representatives of different Arab countries, or British and Americans, etc. Not only are such occasions rare, but very often there is a serious difference between the same language used in one country and another.
There are several ways to overcome the problem of communication between people who speak different mother tongues. None of these ways is ideal. One solution, obviously, is that one of the interlocutors speaks the language of the other. Problems may arise: the knowledge of the language may not be adequate, one side is making a concession and the other has an immediate and significant advantage, there are possible political implications, it may be difficult to apply in multilateral diplomacy, etc. A second possibility is that both sides use a third, neutral, language. A potential problem may be that neither side possesses full linguistic knowledge and control, leading to possible bad misunderstandings. Nevertheless, this method is frequently applied in international practice because of its political advantages. A third formula, using interpreters, is also very widely used, particularly in multilateral diplomacy or for negotiations at a very high political level - not only for reasons of equity, but because politicians and statesmen often do not speak foreign languages. This method also has disadvantages: it is time consuming, costly, and sometimes inadequate or straightforwardly incorrect. […] Finally, there is the possibility of using one international synthetic, artificial language, such as Esperanto; this solution would have many advantages, but unfortunately is not likely to be implemented soon, mostly because of the opposition of factors that dominate in the international political - and therefore also cultural and linguistic - scene.
So, which language is the diplomatic one? The answer is not simple at all […].
Words are bricks from which sentences are made. Each sentence should be a wound-up thought. If one wants to be clear, and particularly when using a language which he does not master perfectly, it is better to use short, simple sentences. On the contrary, if one wishes to camouflage his thoughts or even not say anything specific, it can be well achieved by using a more complicated style, complex sentences, digressions, interrupting one's own flow of thought and introducing new topics. One may leave the impression of being a little confused, but the basic purpose of withholding the real answer can be accomplished.
(adapted from http://www.diplomacy.edu/books/language_and_
diplomacy/texts/pdf/nick.PDF)
TEXT III
Use of language in diplomacy
What language should one use when speaking to diplomats, or what language should diplomats use? Or, to be more precise, what language/languages should a (young) diplomat try to learn to be more successful in his profession?
The term "language in diplomacy" obviously can be interpreted in several ways. First, as tongue ("mother" tongue or an acquired one), the speech "used by one nation, tribe, or other similar large group of people"; in this sense we can say, for example, that French used to be the predominant diplomatic language in the first half of the 20th century. Second, as a special way of expressing the subtle needs of the diplomatic profession; in this way it can be said, for example, that the delegate of such-andsuch a country spoke of the given subject in totally nondiplomatic language. Also, the term can refer to the particular form, style, manner or tone of expression; such as the minister formulated his conditions in unusually strong language. It may mean as well the verbal or non-verbal expression of thoughts or feelings: sending the gunships is a language that everybody understands.
All of these meanings - and probably several others - can be utilised in both oral and written practice. In any of these senses, the use of language in diplomacy is of major importance, since language is not a simple tool, vehicle for transmission of thoughts, or instrument of communication, but very often the very essence of the diplomatic vocation, and that has been so from the early beginnings of our profession. That is why from early times the first envoys of the Egyptian pharaohs, Roman legates, mediaeval Dubrovnik consuls, etc., had to be educated and trained people, well-spoken and polyglots.
Let us first look into different aspects of diplomatic language in its basic meaning - that of a tongue. Obviously, the first problem to solve is finding a common tongue. Diplomats only exceptionally find themselves in the situation to be able to communicate in one language, common to all participants. This may be done between, for example, Germans and Austrians, or Portuguese and Brazilians, or representatives of different Arab countries, or British and Americans, etc. Not only are such occasions rare, but very often there is a serious difference between the same language used in one country and another.
There are several ways to overcome the problem of communication between people who speak different mother tongues. None of these ways is ideal. One solution, obviously, is that one of the interlocutors speaks the language of the other. Problems may arise: the knowledge of the language may not be adequate, one side is making a concession and the other has an immediate and significant advantage, there are possible political implications, it may be difficult to apply in multilateral diplomacy, etc. A second possibility is that both sides use a third, neutral, language. A potential problem may be that neither side possesses full linguistic knowledge and control, leading to possible bad misunderstandings. Nevertheless, this method is frequently applied in international practice because of its political advantages. A third formula, using interpreters, is also very widely used, particularly in multilateral diplomacy or for negotiations at a very high political level - not only for reasons of equity, but because politicians and statesmen often do not speak foreign languages. This method also has disadvantages: it is time consuming, costly, and sometimes inadequate or straightforwardly incorrect. […] Finally, there is the possibility of using one international synthetic, artificial language, such as Esperanto; this solution would have many advantages, but unfortunately is not likely to be implemented soon, mostly because of the opposition of factors that dominate in the international political - and therefore also cultural and linguistic - scene.
So, which language is the diplomatic one? The answer is not simple at all […].
Words are bricks from which sentences are made. Each sentence should be a wound-up thought. If one wants to be clear, and particularly when using a language which he does not master perfectly, it is better to use short, simple sentences. On the contrary, if one wishes to camouflage his thoughts or even not say anything specific, it can be well achieved by using a more complicated style, complex sentences, digressions, interrupting one's own flow of thought and introducing new topics. One may leave the impression of being a little confused, but the basic purpose of withholding the real answer can be accomplished.
(adapted from http://www.diplomacy.edu/books/language_and_
diplomacy/texts/pdf/nick.PDF)
( ) Diplomats are often in situations where a common language is spoken.
( ) Using an interpreter as mediator is a flawless alternative for diplomatic meetings.
( ) Despite the efforts to do away with problems in communication, the ideal solution has not been found yet.
The correct sequence is:
