Foram encontradas 50 questões.
Assinale a alternativa em que as duas palavras têm sons vocálicos diferentes.
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- Gramática - Língua InglesaAdjetivos | AdjectivesComparativo e superlativo de adjetivos | Comparative and superlative
Leia a citação atribuída a Charles W. Eliot, eleito presidente da Universidade de Harvard em 1869.
“Books are the quietest and most constant of friends; they are the most accessible and wisest of counselors, and the most patient of teachers.”
(https://teachyourkidscode.com/best-education-quotes/)
All the adjectives in the quotation are used in the superlative form. Mark the alternative in which the superlative form has been correctly used.
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Read the comic below.
(www.boredpanda.com)
Readers may add comments to material they read in online publications. Mark the alternative which contains the comment posted by a reader who has just read this cartoon.
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Read Brown’s comment on language and culture:
As universal as kinesics communication is, there is tremendous variation cross-culturally and cross-linguistically in the specific interpretations of gestures. Human beings all move their heads, blink their eyes, move their arms and hands, but the significance of these movements varies from society to society.
(BROWN, H.Douglas. Principles of language learning and teaching. 5th ed. Longman, 2000. Adaptado)
A teacher concerned with the issues raised in the excerpt will
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Leia o texto para responder às questões de 39 a 46.
Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking over each other. From casual conversations between friends, to bickering between siblings, to formal discussions in a boardroom, authentic conversation is sometimes hard to understand, even chaotic. It seems miraculous that anyone can learn language at all given the haphazard nature of the linguistic experience.
For this reason, many language scientists – including Noam Chomsky, a founder of modern linguistics – believe that language learners require a kind of glue to rein in the unruly nature of everyday language. And that glue is grammar: a system of rules for generating grammatical sentences. Children then only need to learn whether their native language is one, like English, where the verb goes before the object (as in “I eat sushi”), or one like Japanese, where the verb goes after the object (in Japanese, the same sentence is structured as “I sushi eat”) – or so the thinking goes.
But new insights into language learning are coming from an unlikely source: artificial intelligence. A new breed of large AI language models can write newspaper articles, poetry and computer code and answer questions truthfully after being exposed to vast amounts of language input. And even more astonishingly, they all do it without the help of grammar.
Even if their choice of words is sometimes strange, or nonsensical, not very subtle, one thing is very clear: the overwhelming majority of the output of these AI language models is grammatically correct. And yet, there are no grammar templates or rules hardwired into them – they rely on linguistic experience alone, messy as it may be.
(https://theconversation.com/ai-is-changing-scientists-understanding-of-language-learning-and-raising-questions -about-an-innate-grammar-190594. Adaptado)
In the word “subtle” (last paragraph), the “b” is a silent letter, that is, not pronounced. Mark the alternative in which the underlined letter is pronounced.
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Leia o texto para responder às questões de 39 a 46.
Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking over each other. From casual conversations between friends, to bickering between siblings, to formal discussions in a boardroom, authentic conversation is sometimes hard to understand, even chaotic. It seems miraculous that anyone can learn language at all given the haphazard nature of the linguistic experience.
For this reason, many language scientists – including Noam Chomsky, a founder of modern linguistics – believe that language learners require a kind of glue to rein in the unruly nature of everyday language. And that glue is grammar: a system of rules for generating grammatical sentences. Children then only need to learn whether their native language is one, like English, where the verb goes before the object (as in “I eat sushi”), or one like Japanese, where the verb goes after the object (in Japanese, the same sentence is structured as “I sushi eat”) – or so the thinking goes.
But new insights into language learning are coming from an unlikely source: artificial intelligence. A new breed of large AI language models can write newspaper articles, poetry and computer code and answer questions truthfully after being exposed to vast amounts of language input. And even more astonishingly, they all do it without the help of grammar.
Even if their choice of words is sometimes strange, or nonsensical, not very subtle, one thing is very clear: the overwhelming majority of the output of these AI language models is grammatically correct. And yet, there are no grammar templates or rules hardwired into them – they rely on linguistic experience alone, messy as it may be.
(https://theconversation.com/ai-is-changing-scientists-understanding-of-language-learning-and-raising-questions -about-an-innate-grammar-190594. Adaptado)
No trecho do último parágrafo “Even if their choice of words is sometimes strange”, o pronome grifado tem como referente
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Leia o texto para responder às questões de 39 a 46.
Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking over each other. From casual conversations between friends, to bickering between siblings, to formal discussions in a boardroom, authentic conversation is sometimes hard to understand, even chaotic. It seems miraculous that anyone can learn language at all given the haphazard nature of the linguistic experience.
For this reason, many language scientists – including Noam Chomsky, a founder of modern linguistics – believe that language learners require a kind of glue to rein in the unruly nature of everyday language. And that glue is grammar: a system of rules for generating grammatical sentences. Children then only need to learn whether their native language is one, like English, where the verb goes before the object (as in “I eat sushi”), or one like Japanese, where the verb goes after the object (in Japanese, the same sentence is structured as “I sushi eat”) – or so the thinking goes.
But new insights into language learning are coming from an unlikely source: artificial intelligence. A new breed of large AI language models can write newspaper articles, poetry and computer code and answer questions truthfully after being exposed to vast amounts of language input. And even more astonishingly, they all do it without the help of grammar.
Even if their choice of words is sometimes strange, or nonsensical, not very subtle, one thing is very clear: the overwhelming majority of the output of these AI language models is grammatically correct. And yet, there are no grammar templates or rules hardwired into them – they rely on linguistic experience alone, messy as it may be.
(https://theconversation.com/ai-is-changing-scientists-understanding-of-language-learning-and-raising-questions -about-an-innate-grammar-190594. Adaptado)
In the excerpt from the 2nd paragraph of the text, “And that glue is grammar: a system of rules for generating grammatical sentences”, the underlined part woks as
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Leia o texto para responder às questões de 39 a 46.
Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking over each other. From casual conversations between friends, to bickering between siblings, to formal discussions in a boardroom, authentic conversation is sometimes hard to understand, even chaotic. It seems miraculous that anyone can learn language at all given the haphazard nature of the linguistic experience.
For this reason, many language scientists – including Noam Chomsky, a founder of modern linguistics – believe that language learners require a kind of glue to rein in the unruly nature of everyday language. And that glue is grammar: a system of rules for generating grammatical sentences. Children then only need to learn whether their native language is one, like English, where the verb goes before the object (as in “I eat sushi”), or one like Japanese, where the verb goes after the object (in Japanese, the same sentence is structured as “I sushi eat”) – or so the thinking goes.
But new insights into language learning are coming from an unlikely source: artificial intelligence. A new breed of large AI language models can write newspaper articles, poetry and computer code and answer questions truthfully after being exposed to vast amounts of language input. And even more astonishingly, they all do it without the help of grammar.
Even if their choice of words is sometimes strange, or nonsensical, not very subtle, one thing is very clear: the overwhelming majority of the output of these AI language models is grammatically correct. And yet, there are no grammar templates or rules hardwired into them – they rely on linguistic experience alone, messy as it may be.
(https://theconversation.com/ai-is-changing-scientists-understanding-of-language-learning-and-raising-questions -about-an-innate-grammar-190594. Adaptado)
There are in the text a number of adverbs of manner ending in -ly. Mark the alternative containing the adjective which may also function as an adverb of manner, with no change in word form.
Provas
Leia o texto para responder às questões de 39 a 46.
Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking over each other. From casual conversations between friends, to bickering between siblings, to formal discussions in a boardroom, authentic conversation is sometimes hard to understand, even chaotic. It seems miraculous that anyone can learn language at all given the haphazard nature of the linguistic experience.
For this reason, many language scientists – including Noam Chomsky, a founder of modern linguistics – believe that language learners require a kind of glue to rein in the unruly nature of everyday language. And that glue is grammar: a system of rules for generating grammatical sentences. Children then only need to learn whether their native language is one, like English, where the verb goes before the object (as in “I eat sushi”), or one like Japanese, where the verb goes after the object (in Japanese, the same sentence is structured as “I sushi eat”) – or so the thinking goes.
But new insights into language learning are coming from an unlikely source: artificial intelligence. A new breed of large AI language models can write newspaper articles, poetry and computer code and answer questions truthfully after being exposed to vast amounts of language input. And even more astonishingly, they all do it without the help of grammar.
Even if their choice of words is sometimes strange, or nonsensical, not very subtle, one thing is very clear: the overwhelming majority of the output of these AI language models is grammatically correct. And yet, there are no grammar templates or rules hardwired into them – they rely on linguistic experience alone, messy as it may be.
(https://theconversation.com/ai-is-changing-scientists-understanding-of-language-learning-and-raising-questions -about-an-innate-grammar-190594. Adaptado)
Na última sentença do texto, a expressão “yet” traz a ideia de
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Leia o texto para responder às questões de 39 a 46.
Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking over each other. From casual conversations between friends, to bickering between siblings, to formal discussions in a boardroom, authentic conversation is sometimes hard to understand, even chaotic. It seems miraculous that anyone can learn language at all given the haphazard nature of the linguistic experience.
For this reason, many language scientists – including Noam Chomsky, a founder of modern linguistics – believe that language learners require a kind of glue to rein in the unruly nature of everyday language. And that glue is grammar: a system of rules for generating grammatical sentences. Children then only need to learn whether their native language is one, like English, where the verb goes before the object (as in “I eat sushi”), or one like Japanese, where the verb goes after the object (in Japanese, the same sentence is structured as “I sushi eat”) – or so the thinking goes.
But new insights into language learning are coming from an unlikely source: artificial intelligence. A new breed of large AI language models can write newspaper articles, poetry and computer code and answer questions truthfully after being exposed to vast amounts of language input. And even more astonishingly, they all do it without the help of grammar.
Even if their choice of words is sometimes strange, or nonsensical, not very subtle, one thing is very clear: the overwhelming majority of the output of these AI language models is grammatically correct. And yet, there are no grammar templates or rules hardwired into them – they rely on linguistic experience alone, messy as it may be.
(https://theconversation.com/ai-is-changing-scientists-understanding-of-language-learning-and-raising-questions -about-an-innate-grammar-190594. Adaptado)
Assinale a alternativa que melhor representa, em português, o trecho “the carefully scripted dialogue found in most books and movies”, retirado do primeiro parágrafo texto.
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