"Semantographic" Natural Recordings by Native Speakers
Semantography, also known as squiggles, is a system of non-verbal graphic expression that was developed by Arthur Silverstein in the 1940s. It is a semiotic system that uses symbols to convey meaning, with the goal of creating a universal language that can be understood by people from different linguistic backgrounds.
Semantography uses a set of unique symbols to represent concepts, words, and ideas, and is meant to be easy to learn and use. The system is based on a combination of logographic symbols and phonetic elements, and is designed to be more efficient and comprehensive than traditional language systems.
While semantography has been praised for its potential as a universal language, it has not been widely adopted and is not widely recognized as a standard means of communication.
Semanticity refers to the property or quality of meaning that a word or symbol has. It is the degree to which a word or symbol is associated with a particular meaning or concept. In other words, it is a measure of how effectively a word or symbol conveys its intended meaning.<br><br>In linguistics, semanticity is a key concept in the study of meaning and reference. It is also used in various fields such as cognitive psychology, artificial intelligence, and computer science to measure the meaning of words, symbols, and images.<br><br>High semanticity means that a word or symbol is clearly and strongly associated with its intended meaning, making it easy to understand and interpret. Low semanticity, on the other hand, means that a word or symbol has a weak or ambiguous connection to its intended meaning, making it harder to understand and interpret.<br><br>For example, the word "dog" has high semanticity because it is strongly associated with a specific concept (a type of animal), whereas the word "bank" can have both high and low semanticity depending on the context (e.g. a financial institution or the side of a river).