MarcoP > 21-08-2021, 05:53 PM
Emma May Smith > 22-08-2021, 10:15 PM
MarcoP > 23-08-2021, 10:41 AM
pfeaster > 23-08-2021, 03:20 PM
(22-08-2021, 10:15 PM)Emma May Smith Wrote: You are not allowed to view links. Register or Login to view.As [sh] is relatively more common in Quire 13 than other sections, [ch] more common in Hand 1 Herbal, [a] more common in Quire 2o, and [q] three times as common in Quire 13 than Hand 1 Herbal, I would really like to see those factored out. I think proof based on glyphs alone is probably best to ensure comparability and a robust sample size.Emma -- thanks for your comments. I know I have a bad habit of letting too much stuff accumulate before posting, so that when I do it tends to come out in chunks that are disagreeably large. I'll try to work on that.
Emma May Smith > 23-08-2021, 05:13 PM
pfeaster > 23-08-2021, 10:45 PM
(23-08-2021, 05:13 PM)Emma May Smith Wrote: You are not allowed to view links. Register or Login to view.A few things which interest me: does every possible glyph pair have a rightward difference? Are some pairs significantly more than different than others? And are there clear most/least rightward glyphs? I suppose my concern is that, if this is systemic, what does that mean? Does that make it more or less likely to be an artifact or a phenomenon?Those are all excellent questions, and I'd imagine the first few, at least, ought to be reasonably straightforward to figure out with further work. My sense so far is that if we disregard [g] and [m], the glyph with the strongest tendency (leftward in this case) is [Sh]. But there also seems to be the "shape" of the distribution to be considered, along with overall average rightwardness. For what it's worth, I created a couple graphs today showing the variation in token quantities in each fifth of the line for [a], [ch], [d], [l], [n], [q], [r], [Sh], and [y] in Currier A and Currier B. As with the figures I gave before, these calculations leave out the first glyph and last two glyphs of each line, so any patterns should be basically line-internal. I kept the color-coding the same for both "languages" in hopes of making comparisons easier to draw.
![[Image: glyph-rightwardness-currier-a-and-b.jpg]](https://octaverter.com/images/misc/glyph-rightwardness-currier-a-and-b.jpg) 
Emma May Smith > 23-08-2021, 10:47 PM
a :  228  164  154  199  215  177  198  220  239  241
d :  167  270  252  262  313  298  250  280  305  258
e :  484  487  511  467  443  431  447  431  384  172
f :    3    5    1    3    1    5    8    5    3    1
i :  142  150  142  130  179  136  168  164  152  126
k :  215  174  253  221  239  202  235  204  176  91
l :  233  217  202  220  220  211  202  214  257  371
m :    0    1    0    0    0    0    0    2    0  60
n :  51  97  93  88  118  89  99  116  93  113
o :  469  387  389  430  399  378  393  399  384  280
p :    3    8  18  15  16  19  10    8  10    8
q :  29  230  201  215  155  167  169  162  120  30
r :  87  76  74  73  75  64  82  105  117  168
s :  17  28  18  32  33  27  23  27  34  37
t :  57  61  68  82  98  72  93  113  104  44
y :  140  421  366  397  388  382  360  382  390  531
C :  177  153  150  132  159  160  143  159  150  80
S :  187  154  115  117  115  98  100  94  73  17
K :  11  28  23  14  22  24  24  27  23    4
T :    3  11  14    8  13  12  16  13  19    7
F :    0    2    0    0    0    0    0    1    1    0
P :    1    2    3    1    2    2    1    2    5    0Emma May Smith > 24-08-2021, 04:38 PM
Quote:My usual method for calculating rightwardness tendencies for words has been to number the words in each line, starting at zero; then to divide these numbers by the quantity of words in the line (minus one), so that each word ends up assigned a value between 0 (first word in line) and 1 (last word in line); and finally to take the mean average of the values for all tokens of a particular word, or of some group of words sharing a common characteristic, so that higher values will correspond to greater overall rightwardness much as higher numerical temperatures correspond to greater heat.
Quote:One option is to take our fractional measures of line position in a range from one to zero, multiply them by some factor, and then round each of them to the nearest integer. The resulting groups will vary in size, but we can normalize for that in our subsequent calculations. If we divide the line into ten groups as I’ve described, we find that they contain 4134, 2489, 3294, 3152, 2223, 4244, 3152, 3294, 2489, and 4107 words respectively.
pfeaster > 24-08-2021, 06:03 PM
Emma May Smith > 24-08-2021, 08:26 PM