ones where you know where the word boundaries are) even under mildly noisy conditions, and (b) to solve Patristocrat cryptograms (i.e. It does this by using both letter statistics and word lists at the same time (a) to solve Aristocrat cryptograms (i.e.
#VOYNICH MANUSCRIPT HEBREW CRACK#
The initial question is obvious: what did Kondrak and Hauer actually do to try to crack the Voynich’s mysterious secrets that (they thought) nobody else had tried before? A quick snoop reveals that Bradley Hauer is a pretty smart crypto cookie: the simple substitution cipher solver presented in his 2014 paper “Solving Substitution Ciphers with Combined Language Models” outperforms many competing academic solutions. But… is any of that true? Or useful? What’s actually going on here? Behind the Kondrak and Hauer headlines thrown a tame supercomputer and some kind clever-arse AI libraries at the problem): for, as the media incessantly repeat at the moment, All Human Problems Will Inevitably Yield To The Scythed Mega-Bulldozer That Is AI. įrom the press coverage so far, you might think that they had CARMELed the Voynich (i.e. ( Hint to authors: sorry, but based on recent evidence, it would seem that you have ~48 hours to get your next funding request submitted and approved before everyone currently cheering starts booing.)ĬompSci professor Greg Kondrak and graduate student Bradley Hauer presented their research at the 2017 ACL conference, and their paper “ Decoding Anagrammed Texts Written in an Unknown Language and Script” appeared in Transactions of the Association for Computational Linguistics Volume 4, Issue 1, pages 75–86. Thanks to Newsweek, Fox News, The Daily Mail and The Independent, some techy Canadian Voynich research is currently enjoying its day in the media sun.
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