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In a three-form system, the affirmative response to a positively phrased question is the unmarked affirmative, the affirmative response to a negatively phrased question is the marked affirmative, and the negative response to both forms of question is the (single) negative. For example, in Norwegian the affirmative answer to "Snakker du norsk?"
The affirmative, in an English example such as "the police chief here is a woman", declares a simple fact, in this case, it is a fact regarding the police chief and asserts that she is a woman. [5] In contrast, the negative, in an English example such as "the police chief here is not a man", is stated as an assumption for people to believe. [5]
The actual set of contexts that license particular polarity items is not as easily defined as a simple distinction between affirmative and negative sentences. Baker [2] noted that double negation may provide an acceptable context for positive polarity items: I can't believe you don't fancy her somewhat. John doesn't have any potatoes
English-language learners are shown to benefit from word walls because of the visual element and words that are pre-selected as appropriate for the student to use. [8] For example, students learning English may refer to the word wall to use academic language in classroom conversations.
This is a comparison of English dictionaries, which are dictionaries about the language of English.The dictionaries listed here are categorized into "full-size" dictionaries (which extensively cover the language, and are targeted to native speakers), "collegiate" (which are smaller, and often contain other biographical or geographical information useful to college students), and "learner's ...
James defined what affirmative action is in its most basic form. "(It) is a policy that encourages state institutions to take affirmative action to make sure their processes are fair," she explains.
Wiktionary (UK: / ˈ w ɪ k ʃ ən ər i / ⓘ, WIK-shə-nər-ee; US: / ˈ w ɪ k ʃ ə n ɛr i / ⓘ, WIK-shə-nerr-ee; rhyming with "dictionary") is a multilingual, web-based project to create a free content dictionary of terms (including words, phrases, proverbs, linguistic reconstructions, etc.) in all natural languages and in a number of artificial languages.
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