Snarl -- Version 0.0.8 -- Updated 21/5/14Back to Snerx -- Contact us on our official Discord. ______________________________________________________________________________________:: Snerx's Neutral Architecture for Relative Linguistics ::Snarl is a semiotic research project and universal-bridge-language architecture 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 logical operations are native to the language and the alphabet has six super-sets, meaning the language has an extensible character set of seventy characters and can convert programming languages as well. 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 reverse rotation 2 degrees on their second interval and fade outwards to leave a visual imprint for the human brain to catch. This allows you to 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 may 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. This also means that Snarl is not limited to conversion of written languages but can also convert any spoken or sound-based language or acoustic communication system. ====================================================================================== 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.