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Snarl -- Version 0.0.8 -- Updated 01/31/17
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:: Snerx's Neutral Architecture for Relative Linguistics ::

Snarl is a semiotic research project and universal bridge language built off Snork    
that aims to find the most effective use of symbolic formation and implimentation for 
data communication over typical mediums, scalable and transferable between species and
modes of communication by allowing for a 'formatless' framework and relative character
set. This lets Snarl function as a universal lingua franca.                           

Snarl has no advanced formatting, no read direction, and no diacritical markings or   
punctuation marks. This reduction of complexity allows for the language to be read and
understood with immediacy, a full comprehension of a large text at just a glance. It  
maintains the same density of information as traditional languages despite its lack of
traditional structuring due to "point-threaded flow formatting" where characters and  
words are single-instance objects in a textual space, being projected over each other 
in a continuous stream or 'flow'. Background and foreground color coding is used for  
any additional grammar or information needed for conversion of a language into Snarl. 

The characters themselves are modeled around common natural and mathematical shapes,  
making them easily recognized and cognized by any species processing the information. 
The symbols used for the characters are ordered based on the number of objects or     
points that the symbol characterizes (which correlates to their numerical values as   
explained later). All characters are fixated around a central point of rotation with  
all proportions being equal, so characters also have unit circle values. The alphabet 
contains only five base characters with five additional layered characters for an     
alphabet of ten characters total. Since letters also double as numbers in Snarl, Snarl
is a base-10 language. This can be dynamically changed and scaled within the framework
to be relative to the math base that the society utilizing it is more accustomed to.  

On top of all that, Snarl is an a priori language with six base operators that also   
function as super-set demarcators, so the alphabet has six super-sets, meaning the    
language has an extensible character set of seventy characters.                       





The slow-stream 'glance' version of the Snarl framework (pictured below) runs at 250ms
intervals. In this mode the characters rotate 5 degrees clockwise for their first     
interval, then cease rotation on their second interval and fade outwards to leave a   
visual imprint for the human brain to catch and read multiple symbols simultaneously. 


[250msHelloWorld.gif]


The fast 'flash' version of the language runs at 80ms, the fastest possible speed for 
human cognition of experience. No rotations or overlay fades in this version, as that 
is extra information that gets in the way of processing visual data. Background colors
do alternate shades in this version to help with visual pacing for the human brain.   
This is the fastest possible speed humans can cognize visual experience, the fastest  
possible speed that humans can read, so this semiotic arrangement should give way to  
the most efficient textual architecture possible in principle.                        


     


Radial spectrometer integration will make it so each symbol has a definite (objective)
sound tied to it, meaning that recording audio of someone speaking the language will  
produce the Snarl symbols they represent in a radial spectrometer. This will also mean
that writing the language will be equivalent to speaking it and hearing it will be the
same as reading it. Snarl is the first language to ever do this. Some image based     
spectrometer like Photosounder or Spiral will allow for this first point-threaded     
language format, whereby you read by watching a dynamic animation or image of sound   
being produced in real-time, rather than static or fixed words.                       



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Examples of unique semiotic design can be found in Atticus Bones' work, MNUNU NUMUNE's
work, and in .we_interfvce's book or academic papers.                                 
Some inspiration for linguistic studies - Lojban, Interlingua, & Ygyde.