Jirka Lhotka, Francesco Salvi, Liudvikas Lazauskas
Department of Computer Science, EPFL, Switzerland
Abstract
Voynich manuscript is a 15th century document written in unknown language and script.
Consequently, reading and transliterating it to electronic form is equivocal and leads to ambiguities.
We present a way to disambiguate said uncertainties using word embeddings models, which achieves accuracies up to 86% on artificially corrupted texts of the same size.
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