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Among mass digitization methods, double-keying is considered to be the one with the lowest error rate. This method requires two independent transcriptions of a text by two different operators. It is particularly well suited to historical texts, which often exhibit deficiencies like poor master copies or other difficulties such as spelling variation or complex text structures. Providers of data entry services using the double-keying method generally advertise very high accuracy rates (around 99.95% to 99.98%). These advertised percentages are generally estimated on the basis of small samples, and little if anything is said about either the actual amount of text or the text genres which have been proofread, about error types, proofreaders, etc. In order to obtain significant data on this problem it is necessary to analyze a large amount of text representing a balanced sample of different text types, to distinguish the structural XML/TEI level from the typographical level, and to differentiate between various types of errors which may originate from different sources and may not be equally severe. This paper presents an extensive and complex approach to the analysis and correction of double-keying errors which has been applied by the DFG-funded project “Deutsches Textarchiv” (German Text Archive, hereafter DTA) in order to evaluate and preferably to increase the transcription and annotation accuracy of double-keyed DTA texts. Statistical analyses of the results gained from proofreading a large quantity of text are presented, which verify the common accuracy rates for the double-keying method.
Das Korpus des Deutschen Textarchivs soll als Basis für ein dynamisch erweiterbares historisches Referenzkorpus dienen. Sieben Anforderungen für eine Korpus-Infrastruktur werden benannt, die dazu dienen sollen, Texte in systematischer Weise für die historische Korpusforschung nutzbar zu machen. Dazu gehören ein Textsorteninventar, die Einheitlichkeit der Formate, eine Qualitätssicherung, Übergreifende Abfragbarkeit bei nichtstandardisierten Wortformschreibungen, Nachnutzbarkeit der Texte, offenen Infrastrukturen für die Erweiterung der Textbasis und dynamische Strukturen für Updates und verschiedene Versionen der Datenbasis. Dabei werden auch rechtliche (OpenAccess) und technische (Standardisierung der Formate) Eckpfeiler benannt.