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Voynich Manuscript is a corpus of unknown origin written down in
unique graphemic system and potentially representing phonic val-
ues of unknown or potentially even extinct language. Departing from
the postulate that the manuscript is not a hoax but rather encodes au-
thentic contents, our article presents an evolutionary algorithm which
aims to find the most optimal mapping between voynichian glyphs
and candidate phonemic values.

Core component of the decoding algorithm is a process of maxi-
mization of a fitness function which aims to find most optimal set of
substitution rules allowing to transcribe the part of the manuscript -
which we call the Calendar - into lists of feminine names. This leads
to sets of character subsitution rules which allow us to consistently
transcribe dozens among three hundred calendar tokens into femi-
nine names: a result far surpassing both "popular" as well as "state
of the art" tentatives to crack the manuscript. What’s more, by using
name lists stemming from different languages as potential cribs, our
"adaptive" method can also be useful in identification of the language
in which the manuscript is written.

As far as we can currently tell, results of our experiments indicate
that the Calendar part of the manuscript contains names from bal-
toslavic, balkanic or hebrew language strata. Two further indications
are also given: primo, highest fitness values were obtained when the
crib list contains names with specific infixes at token’s penultimate
position as is the case, for example, for slavic feminine diminutives
(i.e. names ending with -ka and not -a). In the most successful sce-
nario, 240 characters contained in 35 distinct Voynichese tokens were
successfully transcribed. Secundo, in case of crib stemming from He-
brew language, whole adaptation process converges to significantly
better fitness values when transcribing voynichian tokens whose or-
der of individual characters have been reversed, and when lists femi-
nine and not masculine names are used as the crib.


backup from http://sci.wizzion.com/voynich.pdf