Questões de Concurso Público SME do Recife - PE 2023 para Professor II - Disciplina: Língua Inglesa
Foram encontradas 26 questões
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214965
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Despite the advances in technology, translation is still a
difficult task for artificial intelligence.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214966
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Michael Housman explains that, for machines, it is easier to
translate than to play chess.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214967
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Even though language is everywhere, its rules are not as
exact as in games.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214968
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
According to Dr. Majfud, we have a positive cultural future
if we trust technology.
Ano: 2023
Banca:
CESPE / CEBRASPE
Órgão:
SME do Recife - PE
Prova:
CESPE / CEBRASPE - 2023 - SME do Recife - PE - Professor II - Disciplina: Língua Inglesa |
Q2214969
Inglês
Texto associado
Text 7A1
Artificial intelligence still has difficulties processing
requests in one language, without the additional complications of
translation. Michael Housman, chief data science officer at
RapportBoost.AI, explained that the ideal scenario for machine
learning and artificial intelligence is something with fixed rules
and a clear-cut measure of success or failure. He named chess as
an obvious example. This happened faster than anyone
anticipated because of the game’s very clear rules and limited set
of moves. Housman elaborated, “Language is almost the opposite
of that. There aren’t as clearly-cut and defined rules.”
I asked Dr. Jorge Majfud, Associate Professor of Spanish,
at Jacksonville University, to explain why consistently accurate
language translation has thus far eluded AI. He replied, “The
problem is that considering the ‘entire’ sentence is still not
enough.” He noted that sarcasm and irony only make sense
within this widened context. Similarly, idioms can be
problematic for automated translations.
Dr. Majfud warned, “We should be aware of the fragility
of their ‘interpretation.’ Because to translate is basically to
interpret, not just an idea but a feeling. Human feelings and ideas
that only humans can understand — and sometimes not even we,
humans, understand other humans.” He noted that cultures,
gender, and even age can pose barriers to this understanding and
also contended that an over-reliance on technology is leading to
our cultural and political decline. Dr. Majfud mentioned that
Argentinean writer Julio Cortázar used to refer to dictionaries as
“cemeteries”. He suggested that automatic translators could be
called “zombies”.
David Pring-Mill. Why Hasn’t AI Mastered Language Translation?
Internet:<singularityhub.com> (adapted).
Based on text 7A1, judge the following item.
Dr. Majfud considers that AI will soon be able to interpret
full sentences.