NLP Semantic Primes Density

NLP Semantic Primes and Density.

NLP Semantic Primes and Density

Semantic primes are universal meanings attached to certain words or language.  A whole new meaning is related to terms which used to be considered as simple or as they really were.  The use of semantic primes is functional in identifying cultural and linguistic deviations among commonly used terms.  A foundation has then been created allowing broad usage in language use, understanding, translation and interracial communication.  The theory revolves around the idea that semantic primes exist in words or other communication expressions in all languages.  This existence is then valuable in identifying and analyzing how other cultures and people relate with each other.  There is a proposed universal grammar even if the details may not be entirely similar.  Semantic primitives are then used as a foundation in producing meaning or semantic density.  Semantic density is the broad definition highly associated with the primitive term.  Since there is already the presence of a universal prime, it is bound in a number of radically similar terms.  For example, using the term "before" is synonymously bound under the semantic primitive for time.  When discussing time, the semantic density will attempt to search the exact date or occasion of the particular period mentioned across all language spectrums.  The morphology and syntax may not be entirely similar or understandable but they all denote the same meaning.  The combination of simple terms can provide a whole new meaning, making the combination indivisible.  Here are the English exponents of the 61 Semantic Primitives.  Nine languages (Cree, Korean, Lao, Mbula, Malay, Mandarin, Polish, Spanish and Yankunytjatjara) were used to test the presence of these primes in all languages.

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