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In linguistics, syntagmatic relationships refer to the way words are arranged in a sentence, while paradigmatic relationships involve the substitution of one word for another within the same linguistic category.

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Q: What is the difference between syntagmatic and paradigmatic relationships in linguistics?
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What is the difference between syntagmatic and paradigmatic relation?

Syntagmatic relations involve the linear arrangement of elements in a sequence, such as words in a sentence. Paradigmatic relations involve the selection of one element from a set of possible alternatives, such as choosing a specific word to fill a particular slot in a sentence.


What is the difference between unergative and unaccusative verbs in linguistics?

In linguistics, unergative verbs have a subject that performs the action, while unaccusative verbs have a subject that undergoes the action.


What is the difference between phonemes and allophones in linguistics?

In linguistics, phonemes are the distinct sounds that can change the meaning of a word, while allophones are variations of a phoneme that do not change the meaning of a word.


What is the difference between theoretical and descriptive linguistics?

applied linguistics is the application of linguistics theories and findings in order to solve the language related problems while, descriptive linguistics is the field of linguistics that is concern with the description of two languages applied linguistics is the application of linguistics theories and findings in order to solve the language related problems while, descriptive linguistics is the field of linguistics that is concern with the description of two languages


What is the difference between comparative linguistics and applied linguistics?

Comparative linguistics look at different languages and try to understand how they are similar and how they are different in order to better understand how languages have developed, their history and how languages affect one another. Applied linguistics is a different field, that looks at fields that have non-linguistic relevance, such as machine translation, text classification, voice commands for computers, understanding and helping with language disorders such as aphasia and dyslexia and more.