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Encyclopedia > Symbolic linguistic representation
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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 they use symbols to represent linguistic information rather than measurements. An utterance is a complete unit of talk, bounded by silence. ... Phonetics (from the Greek word φωνή, phone = sound/voice) is the study of sounds (voice). ... Phonology (Greek phone = voice/sound and logos = word/speech), is a subfield of linguistics closely associated with phonetics. ... Morphology is the following: In linguistics, morphology is the study of the structure of word forms. ... Syntax, originating from the Greek words συν (sun, meaning ‘together’) and ταξις (taxis, meaning sequence/order), can be described as the study of the rules, or patterned relations that govern the way the words in a sentence come together. ... In the main, semantics (from the Greek semantikos, or significant meaning, derived from sema, sign) is the study of meaning, in some sense of that term. ...


A typical kind of symbolic linguistic representation is phonetic transcription. Symbolic linguistic representations are frequently used in computational linguistics. Phonetic transcription (or phonetic notation) is the visual system of symbolization of the sounds occurring in spoken human language. ... Computational linguistics is an interdisciplinary field dealing with the statistical and logical modeling of natural language from a computational perspective. ...


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  Results from FactBites:
 
Edward Sazonov: Home Page (1447 words)
Linguistic variables, membership functions, hedges and fuzzy operations are referenced by their respective symbolic names.
Symbolic representation of the rules allows easy understanding of the rules and simplifies the debugging process.
Linguistic variable "weight" is defined by the user and serves for the purpose of changing a rule's weight.
Untitled (3663 words)
To be a distributed representation, then, is to be a member of such a scheme; it is to be a representation R of a series of items C such that the encoding process which generates R on the basis of C implements a given distributing transformation.
To count as symbolic a representation must satisfy at least three purely formal conditions: it must belong to a space of expression tokens that is digitally structured; the expression itself must be grammatically well-formed; and it must be concatenatively structured.
While symbolic representation is essentially digital, distributed schemes are typically analog in that they allow a smooth continuum of acceptable representation instances, and so fail to guarantee the possibility of unambiguous determination of a given representation's type identity.
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