(13-11-2025, 12:01 PM)bi3mw wrote: You are not allowed to view links. Register or Login to view.Yes, that's exactly what I meant. Thank you. What I don't quite understand is the uneven distribution (counts) of the individual word segments. Is the number of stems really that low ?
Yes, stems are low. Here is a summary of them:
=== PREFIX_BASES ===
['edy', 'qok', 'ol', 'aiin', 'ch', 'eey', 'eo', 'che', 'qo', 'qot', 'ot', 'ok', 'qoke', 'sh', 'she', 'chol', 's', 'dar', 'cho', 'y', 'dal', 'yt', 'qoka', 'yk', 'l', 'oke', 'o', 'sho', 'ote', 'qokal', 'chor', 'shol', 'okal', 'qol', 'cheol', 'otal', 'r', 'otar', 'lche', 'dch', 'op', 'opch', 'okar', 'lk', 'dol', 'cth', 'so', 'qote', 'ched', 'okee', 'd', 'pch', 'sheol', 'qokee', 'sol', 'da', 'otol', 'qokol', 'okol', 'sar', 'do', 'shor', 'ckh', 'char', 'yche', 'qopch', 'pol', 'tch', 'to', 'lo', 'ych', 'ykee', 'oe', 'tol', 'sal', 'dor', 'cph', 'dai', 'shee', 'okeol', 'q', 'dshe', 'po', 'sor', 'qokch', 'lshe', 'lkee', 'kch', 'otch', 'kol', 'qotal', 'tsh', 'qotch', 'sa', 'chal', 'ko', 'yte', 'shed', 'okch', 'chckh', 'otee', 'tar', 'cthol', 'c', 'kee', 'ctho', 'chee', 'of', 'qe', 'chear', 'qotol', 'a', 'lol', 'ke', 'otor', 'ksh', 'oc', 'yshe', 'dsh', 'sch', 'dche', 'qop', 'lor', 'ches', 'cthor', 'yke', 'te', 'olkee', 'oteol', 'oee', 'opche', 'lch', 'p', 'ypch', 'pche', 'psh', 'ro', 'okor', 'ykar', 'kor', 'olk', 'cheal', 'tal', 'ofch', 'oto', 'tor', 'chcth', 'qockh', 'lke', 'oko', 'rch', 'olor', 'lt', 'chl', 'rol', 'tcho', 'ytch', 'daii', 'kchol', 'pched', 'ysh', 'octh', 'yo', 'rar', 'ockh', 'ral', 'ct', 'keol', 'aral', 'kai', 'ra']
=== SUFFIX_BASES (pass 2) ===
['dy', 'in', 'ey', 'hy', 'ry', 'aly', 'ees', 'om', 'oly', 'es', 'an', 'ly', 'oy', 'ed', 'ho', 'as', 'im', 'eor', 'eol', 'py']
=== STEM_BASES ===
["'", 'ee', 'fch', 'f', 'oi', 'fa', 'i', 'cfh', 'ek', 'cf', 'ld']
=== OTHER_BASES ===
['old', 'he', 'ii', 'fc', 'j', 'ph', 'kh', '\ue020', 'eee', '\ue008', 'ik', 'z', 'ec', 'yy', 'hh', 'fh', 'h', 'oda', 'th', '\ue009', 'ala', 'eeed', 'ted', 'olc', '\ue019', '\ue026', 'eckh', 'ora', 'ots', 'kaii', 'hk', 'hc', 'hep', '\ue032', '\ue03e', 'eeod', 'no', '\ue00d', '\ue01c', 'eke', '\ue02f', '\ue03f', '\ue006', '\ue00a', '\ue00b', '\ue012', '\ue01b', 'pho', 'otc', '\ue023', '\ue025', '\ue028', 'ydaii', 'kho', '\ue031', 'ola', '\ue03b', '\ue03c', 'keee', 'edaii', 'kea', 'hoda', '\ue043', 'iii', '\ue048', 'okc', '\ue04a', '\ue04b', 'orc', '\ue04c', 'raii', 'taii', '\ue04f', 'hdai', '\ue050', 'phe', 'eec', 'ytc', 'eek', 'paii', '\ue054', '\ue056']
=== SUMMARY ===
Prefix: 171
Stem: 11
Suffix: 20
Other: 82
These are the top affixes with the thresholds defined. Note that unicode like /ue04c are the special glyphs in EVA transliteration.
The number of stems is very small because the classification rules strongly favor prefix and suffix behavior. A segment is only marked as a stem when it appears mostly in the middle of words and also shows enough contextual variety on both sides. In the Voynich data, most recurring segments either behave like fixed openings or fixed endings, while very few appear consistently in the internal position with enough contextual diversity. As a result, almost all segments are pulled into the prefix, suffix, or other categories, leaving only a small core that genuinely functions as stems.
I am not fully confident about the outputs, because we cannot know how genuine these prefixes and suffixes are. Since the underlying language is unknown, the algorithm may be capturing structural patterns in the text rather than true linguistic affixes.
