(22-05-2026, 11:56 PM)ReneZ wrote: You are not allowed to view links. Register or Login to view.How many variants will cover for the most frequent 95%?
And I had codex put together a python file using my previous test that gives this all in visual representation.
Here's the chedy network of ED1.
Here's the daiin ED1 network.
And here's the big network. The group off to the right, I believe is a chckhy group and I'm thinking only has a weak link to the big network and not sure just yet what the isolated one on the left is.
And here's the report the file produced. I ran it using Zandbergen/Landini.
Total vocabulary: 7582
Total tokens: 36105
Number of ED1 components: 976
Largest component size: 6567
Percent vocabulary in largest component: 86.61%
Percent tokens in largest component: 97.16%
Top 20 largest components by forms and token coverage:
1: 6567 forms ( 86.61%), 35080 tokens ( 97.16%), top: daiin, ol, chedy, aiin, shedy, chol, ar, or, chey, dar
2: 8 forms ( 0.11%), 8 tokens ( 0.02%), top: ckheckhy, ckhockhy, ckhocthy, cpheckhy, cphecthy, cpheocthy, cphocthy, cphoithy
3: 3 forms ( 0.04%), 3 tokens ( 0.01%), top: aiinod, aiinos, aiios
4: 3 forms ( 0.04%), 3 tokens ( 0.01%), top: oraiinam, otaiikam, otaiinam
5: 3 forms ( 0.04%), 3 tokens ( 0.01%), top: otolpchy, stolpchy, tolpchy
6: 3 forms ( 0.04%), 3 tokens ( 0.01%), top: pdsairy, polairy, posairy
7: 3 forms ( 0.04%), 3 tokens ( 0.01%), top: qotokody, qotomody, shotokody
8: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: chedaiphy, chekaiphy
9: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: cheedals, cheedls
10: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: cheoeees, cheoiees
11: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: choteosam, qoteosam
12: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: ctharad, ctharal
13: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: dchodees, fchodees
14: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: deeaiir, seeaiir
15: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: eeesal, eeesaly
16: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: lshodair, tshodair
17: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: ockhdar, ockhydar
18: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: okaifhhy, okaifhy
19: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: okairody, orairody
20: 2 forms ( 0.03%), 2 tokens ( 0.01%), top: okeearam, okeedaram
Outputs written with prefix: C:\Users\rod\Documents\Voynich\New Generator 2\mappings_ZLZB_ed1_network
And, I ran the same test on my generator output.
Total vocabulary: 5477
Total tokens: 23717
Number of ED1 components: 31
Largest component size: 5356
Percent vocabulary in largest component: 97.79%
Percent tokens in largest component: 98.72%
Top 20 largest components by forms and token coverage:
1: 5356 forms ( 97.79%), 23414 tokens ( 98.72%), top: chol, or, cthol, shol, chey, shey, cthey, shoy, chor, cfhol
2: 45 forms ( 0.82%), 122 tokens ( 0.51%), top: cphodaiils, cfhodaiils, ckhodaiils, chodaiils, cphadoiil, cphadaiil, cphdaiils, cphodaiil, cphodails, cthodaiils
3: 25 forms ( 0.46%), 90 tokens ( 0.38%), top: dlocta, dlocka, dlocty, dlocha, locta, ddlqocta, ddocka, dlcta, dloctas, dlqocta
4: 7 forms ( 0.13%), 16 tokens ( 0.07%), top: fsholrcho, sholrcho, fsholecho, fsolrcho, psholrcho, psholrco, solrcho
5: 4 forms ( 0.07%), 8 tokens ( 0.03%), top: foeochdor, doeochdor, foeochdon, foeochhor
6: 4 forms ( 0.07%), 6 tokens ( 0.03%), top: ssoepy, sesoepy, sseeky, ssoeky
7: 3 forms ( 0.05%), 11 tokens ( 0.05%), top: csteiin, csteion, csteiein
8: 3 forms ( 0.05%), 8 tokens ( 0.03%), top: ksheoldas, psheoldas, fsheoldas
9: 3 forms ( 0.05%), 4 tokens ( 0.02%), top: steddr, steddd, stedor
10: 2 forms ( 0.04%), 4 tokens ( 0.02%), top: cchadoiil, cchardoiil
11: 2 forms ( 0.04%), 3 tokens ( 0.01%), top: koldam, poldam
12: 2 forms ( 0.04%), 2 tokens ( 0.01%), top: kshoche, tshoche
13: 2 forms ( 0.04%), 5 tokens ( 0.02%), top: psdol, pasdol
14: 2 forms ( 0.04%), 2 tokens ( 0.01%), top: pshaiiram, rshaiiram
15: 1 forms ( 0.02%), 1 tokens ( 0.00%), top: ckochy
16: 1 forms ( 0.02%), 2 tokens ( 0.01%), top: cshofainy
17: 1 forms ( 0.02%), 1 tokens ( 0.00%), top: csokey
18: 1 forms ( 0.02%), 1 tokens ( 0.00%), top: dcpyr
19: 1 forms ( 0.02%), 1 tokens ( 0.00%), top: kolsheeo
20: 1 forms ( 0.02%), 2 tokens ( 0.01%), top: ohcthaiin
And, Bram Stoker's Dracula for comparison. Note the largest ED1 component is 33% of the vocabulary compared to Voynich and generated text of 97%+
Total vocabulary: 9246
Total tokens: 154418
Number of ED1 components: 4980
Largest component size: 3058
Percent vocabulary in largest component: 33.07%
Percent tokens in largest component: 81.62%
Top 20 largest components by forms and token coverage:
1: 3058 forms ( 33.07%), 126042 tokens ( 81.62%), top: the, and, to, of, he, in, that, it, was, as
2: 20 forms ( 0.22%), 725 tokens ( 0.47%), top: though, through, thought, brought, thoughts, caught, rough, ought, sought, wrought
3: 16 forms ( 0.17%), 91 tokens ( 0.06%), top: stopped, stepped, happen, lapped, slipped, happed, happens, mapped, napped, slapped
4: 11 forms ( 0.12%), 35 tokens ( 0.02%), top: bending, winding, bidding, finding, sending, winning, ending, binding, minding, blinding
5: 10 forms ( 0.11%), 25 tokens ( 0.02%), top: bringing, sinking, singing, cringing, bringin, clanging, clanking, clinging, ringing, wringing
6: 10 forms ( 0.11%), 88 tokens ( 0.06%), top: getting, sitting, setting, ittin, letting, settling, fitting, gettin, sittin, spitting
7: 10 forms ( 0.11%), 366 tokens ( 0.24%), top: helsing, telling, helping, rolling, tellin, lolling, tolling, yelling, yelpin, yelping
8: 9 forms ( 0.10%), 31 tokens ( 0.02%), top: rising, raising, hiding, riding, aiding, adding, aiming, padding, praising
9: 9 forms ( 0.10%), 70 tokens ( 0.05%), top: castle, bottle, battle, castles, cattle, battles, bottles, rattle, rattled
10: 9 forms ( 0.10%), 42 tokens ( 0.03%), top: breath, wreath, breathe, wrath, wreaths, breathes, wreathed, breadth, breathed
11: 7 forms ( 0.08%), 36 tokens ( 0.02%), top: fierce, piece, pieces, pierced, apiece, fiercer, pierce
12: 7 forms ( 0.08%), 109 tokens ( 0.07%), top: looking, lookin, licking, booming, mocking, locking, looming
13: 7 forms ( 0.08%), 42 tokens ( 0.03%), top: falling, willing, calling, killing, callin, chilling, filling
14: 7 forms ( 0.08%), 38 tokens ( 0.02%), top: handed, landed, candle, handle, candles, handled, handles
15: 7 forms ( 0.08%), 30 tokens ( 0.02%), top: putting, cutting, shutting, cuttin, cuttings, jotting, jutting
16: 7 forms ( 0.08%), 9 tokens ( 0.01%), top: depite, despite, deity, depity, deputy, despise, despises
17: 7 forms ( 0.08%), 11 tokens ( 0.01%), top: shipping, drooping, dropping, dipping, dripping, shopping, tripping
18: 7 forms ( 0.08%), 41 tokens ( 0.03%), top: edge, edges, pledged, pledge, ledge, ledger, sledge
19: 7 forms ( 0.08%), 11 tokens ( 0.01%), top: humble, fumbled, humbly, mumbled, stumbled, tumble, tumbled
20: 6 forms ( 0.06%), 21 tokens ( 0.01%), top: slightly, brightly, lightly, rightly, nightly, tightly
Now, to be completely honest, here's where my generator is not getting it right. It may be over-regularizing morphological patterns. Plus the low ED1 component count in my generated text is kinda expected. The generator tries to not create new words out of thin air. As a result, the combinatorial rules are so regular that almost any token can be nudged into any other through small edits, which the real Voynich doesn't quite do. Again, I didn't create the generator to pass this test but, with a bit of refinement, I think it can.
My generator
Dracula
I have csv files to go with this if anyone wants to dig deeper, just let me know.