Making Latin Manuscripts Searchable using gHMM's
Edwards, Jaety, Teh, Yee W., Bock, Roger, Maire, Michael, Vesom, Grace, Forsyth, David A.
–Neural Information Processing Systems
We describe a method that can make a scanned, handwritten mediaeval latin manuscript accessible to full text search. A generalized HMM is fitted, using transcribed latin to obtain a transition model and one example each of 22 letters to obtain an emission model. We show results for unigram, bigram and trigram models.
Neural Information Processing Systems
Dec-31-2005