CATCH 2020: Computer-Assisted Transcription of Complex Handwriting.

CATCH 2020 aims to provide a working infrastructure for the computer-assisted transcription of complex handwritten documents. It will do so by building on the existing Transkribus platform for Handwritten Text Recognition (HTR) – which allows us to process handwritten textual documents in a way that is similar to how OCR processes printed textual documents.. Rather than producing flat transcripts of digital facsimile images, however, CATCH 2020 will produce structured texts, providing tools to add textual and linguistic dimensions to the transcription by combining the state of the art of the research field of textual scholarship with the state of the art of the research field of computational linguistics.

Keywords:SCHOLARLY EDITING, TEXT ANALYSIS, MANUSCRIPT STUDIES, GENESIS OF THE TEXT

Disciplines:Language studies, Literary studies, Theory and methodology of language studies, Theory and methodology of linguistics, Theory and methodology of literary studies, Other languages and literary studies

Project type:Collaboration project