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Reference.org
Semantic decomposition (natural language processing)
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<p>A semantic decomposition is an algorithm that breaks down the meanings of phrases or concepts into less complex concepts. The result of a semantic decomposition is a representation of meaning. This representation can be used for tasks, such as those related to <a href="/facts/Artificial_intelligence/lJGauQwX">artificial intelligence</a> or <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>. Semantic decomposition is common in <a href="/facts/Natural_language_processing/1hjMKsSN">natural language processing</a> applications. </p><p>The basic idea of a semantic decomposition is taken from the learning skills of adult humans, where words are explained using other words. It is based on <a href="/facts/Meaning-text_theory/ptm2fvN3">Meaning-text theory</a>. Meaning-text theory is used as a theoretical linguistic framework to describe the meaning of concepts with other concepts. </p>