LiViTo: Linguistic and Visual Features Tool for Assisted Analysis of Historic Manuscripts

LREC 2020 Klaus M{\"u}llerAleksej TikhonovRol Meyer

We propose a mixed methods approach to the identification of scribes and authors in handwritten documents, and present LiViTo, a software tool which combines linguistic insights and computer vision techniques in order to assist researchers in the analysis of handwritten historical documents. Our research shows that it is feasible to train neural networks for the automatic transcription of handwritten documents and to use these transcriptions as input for further learning processes... (read more)

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