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Blissymbols or Blissymbolics is a constructed language conceived as an ideographic writing system called Semantography consisting of several hundred basic symbols, each representing a concept, which can be composed together to generate new symbols that represent new concepts.
In humans, this process has been compounded to result in the current state of modernity. A symbol is anything one says or does to describe something, and that something can have an array of many meanings. Once the symbols are learned by a particular group, that symbol stays intact with the object. [1]
A symbol is an idea, abstraction or concept, tokens of which may be marks or a metalanguage of marks which form a particular pattern. Symbols of a formal language need not be symbols of anything. For instance there are logical constants which do not refer to any idea, but rather serve as a form of punctuation in the language (e.g. parentheses ...
In many cases, the first non-whitespace character can be used to deduce the kind of token that follows and subsequent input characters are then processed one at a time until reaching a character that is not in the set of characters acceptable for that token (this is termed the maximal munch, or longest match, rule).
Ideograms that represent physical objects by visually resembling them are called pictograms. Numerals and mathematical symbols are ideograms, for example 1 'one', 2 'two', + 'plus', and = 'equals'. The ampersand & is used in many languages to represent the word and, originally a stylized ligature of the Latin word et.
An object (or semiotic object) is a subject matter of a sign and an interpretant. It can be anything discussable or thinkable, a thing, event, relationship, quality, law, argument, etc., and can even be fictional, for instance Hamlet. [20] All of those are special or partial objects.
Early written symbols were based on pictograms (pictures which resemble what they signify) and ideograms (symbols which represent ideas). Ancient Sumerian, Egyptian, and Chinese civilizations began to adapt such symbols to represent concepts, developing them into logographic writing systems. Pictograms are still in use as the main medium of ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.