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  2. Conjunction (grammar) - Wikipedia

    en.wikipedia.org/wiki/Conjunction_(grammar)

    Correlative conjunctions are conjunctions within a syntax that aggregates or contrasts correlated actions, characteristics, or items in the manner of: [17] 1. The use of whether paired with or, as well as if paired with then as conditional conjunctions, e.g. - "Vegetables are nutritious whether you love them or you hate them."

  3. Correlative - Wikipedia

    en.wikipedia.org/wiki/Correlative

    In grammar, a correlative is a word that is paired with another word with which it functions to perform a single function but from which it is separated in the sentence.. In English, examples of correlative pairs are both–and, either–or, neither–nor, the–the ("the more the better"), so–that ("it ate so much food that it burst"), and if–then.

  4. Correlative-based fallacies - Wikipedia

    en.wikipedia.org/wiki/Correlative-based_fallacies

    A correlative conjunction is a relationship between two statements where one must be false and the other true. In formal logic this is known as the exclusive or relationship; traditionally, terms between which this relationship exists have been called contradictories .

  5. English subordinators - Wikipedia

    en.wikipedia.org/wiki/English_subordinators

    English subordinators (also known as subordinating conjunctions or complementizers) are words that mostly mark clauses as subordinate. The subordinators form a closed lexical category in English and include whether ; and, in some of their uses, if , that , for , arguably to , and marginally how .

  6. Cohesion (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Cohesion_(linguistics)

    A cohesive text is created in many different ways. In Cohesion in English, M.A.K. Halliday and Ruqaiya Hasan identify five general categories of cohesive devices that create coherence in texts: reference, ellipsis, substitution, lexical cohesion and conjunction.

  7. Correlation - Wikipedia

    en.wikipedia.org/wiki/Correlation

    One important disadvantage of the alternative, more general measures is that, when used to test whether two variables are associated, they tend to have lower power compared to Pearson's correlation when the data follow a multivariate normal distribution. [9] This is an implication of the No free lunch theorem. To detect all kinds of ...