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In computer science, a symbolic language is a language that uses characters or symbols to represent concepts, such as mathematical operations and the entities (or operands) on which these operations are performed. [1] Modern programming languages use symbols to represent concepts and/or data and are, therefore, examples of symbolic languages. [1]
A symbolic language is a method of communication that uses characters or images to represent concepts. Symbolic language may refer to: Symbolic language (art) Symbolic language (engineering) Symbolic language (literature) Symbolic language (mathematics) Symbolic language (programming)
Symbolic communication includes gestures, body language and facial expressions, as well as vocal moans that can indicate what an individual wants without having to speak. Research argues that about 55% of all communication stems from nonverbal language. [2] Symbolic communication ranges from sign language to braille to tactile communication skills.
In engineering, a symbolic language is a language that uses standard symbols, marks, and abbreviations to represent concepts such as entities, aspects, attributes, and relationships. [1] [original research?] Engineering symbolic language may be used for the specification, design, implementation, management, operation, and execution of ...
In mathematics, a symbolic language is a language that uses characters or symbols to represent concepts, such as mathematical operations, expressions, and statements, and the entities or operands on which the operations are performed.
Writing systems are used to record human language, and may be classified according to certain common features. The usual name of the script is given first; the name of the languages in which the script is written follows (in brackets), particularly in the case where the language name differs from the script name. Other informative or qualifying ...
A symbolic linguistic representation is a representation of an utterance that uses symbols to represent linguistic information about the utterance, such as information about phonetics, phonology, morphology, syntax, or semantics. Symbolic linguistic representations are different from non-symbolic representations, such as recordings, because ...
Symbolic Neural symbolic—is the current approach of many neural models in natural language processing, where words or subword tokens are both the ultimate input and output of large language models. Examples include BERT, RoBERTa, and GPT-3. Symbolic[Neural]—is exemplified by AlphaGo, where symbolic techniques are used to call neural ...