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 eachof 22 letters to obtain an emission model. We show results for unigram, bigram and trigram models.
Neural Information Processing Systems
Dec-31-2005
- Country:
- Europe (0.14)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning (1.00)
- Natural Language > Text Processing (0.56)
- Vision (0.69)
- Information Technology > Artificial Intelligence