C2B2 XP NU ZOO OM2N SHI
With the Debosnys material, this yields a text of 1188 instances of 425 glyphs. That means a lot of the text will consist of glyphs that only occur once, which makes contextual analysis difficult. I thought it would be useful to be able to do some analysis on deconstructed glyphs as well. So I created a second transcription that looks at the internal structure of the glyphs:
<C2 B2> <X DOT> <N U> <O Z O> <O2RNO> <CROSSB>
There is an order to the internal structures of glyphs. For example, using Backus-Naur form, you could describe a whole set of glyphs as follows:
<n-glyph> ::= N <n-tail>
<n-tail> ::= <n-medial> | <n-medial> <n-final>
<n-medial> ::= N | U | X | O
<n-final> ::= X | O
I am currently exploring the idea that these structures correspond to syllable structures, with subglyphs representing letters or phonemes.
The distribution of sub-glyphs follows Zipf's law, with the subglyph O being most common. In French, the most common letter is e, and there is a favorable comparison between the frequency of the O subglyph in the cipher poem and the vowel e in a comparable number of lines of Beaudelaire's poetry.
More on that when I have time.
<n-glyph> ::= N <n-tail>
<n-tail> ::= <n-medial> | <n-medial> <n-final>
<n-medial> ::= N | U | X | O
<n-final> ::= X | O
I am currently exploring the idea that these structures correspond to syllable structures, with subglyphs representing letters or phonemes.
The distribution of sub-glyphs follows Zipf's law, with the subglyph O being most common. In French, the most common letter is e, and there is a favorable comparison between the frequency of the O subglyph in the cipher poem and the vowel e in a comparable number of lines of Beaudelaire's poetry.
More on that when I have time.
No comments:
Post a Comment