Hoppa till huvudinnehåll


	title        = {Integrating language resources in two OCR engines to improve processing of historical Swedish text.},
	abstract     = {We are aiming to address the difficulties that many History and Social Sciences researchers struggle with to bring in non-digitized text into language analysis workflows. In this paper we present the language resources and material we used for training two Optical Character Recognition engines for processing historical Swedish text written in Fraktur (blackletter). The trained models, resources and dictionaries are freely available and accessible through our web service, hosted at Språkbanken, to enable users and developers easy access for extraction of historical Swedish text a that are only available in images for further processing.},
	booktitle    = {CLARIN Annual Conference},
	author       = {Dannélls, Dana and Olsson, Leif-Jöran},
	year         = {2018},