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21
Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses
In: Electronic lexicography in the 21st century: linking lexical data in the digital age. Proceedings of the eLex 2015 conference, 11 - 13 August 2015, Herstmonceux Castle, United Kingdom (2015), 304-314
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22
Refining and Exploiting the Structural Markup of the eWDG
Schmidt, Thomas [Verfasser]; Geyken, Alexander [Verfasser]; Storrer, Angelika [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2014
DNB Subject Category Language
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23
Methoden bei der Wörterbuchplanung in Zeiten der Internetlexikographie
In: Lexicographica. Internationales Jahrbuch für Lexikographie. International annual for lexicography. Revue internationale de lexicographie 30 (2014), 77-111
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24
Methoden bei der Wörterbuchplanung in Zeiten der Internetlexikographie
In: Lexicographica. - Berlin ; Boston : de Gruyter 30 (2014), 77-111
BLLDB
OLC Linguistik
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25
DeRiK: A German reference corpus of computer-mediated communication
In: Literary and Linguistic Computing 28 (2013) 4, 531-537
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26
DeRiK: A German reference corpus of computer-mediated communication
In: LLC. - Oxford : Oxford Univ. Press 28 (2013) 4, 531
OLC Linguistik
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27
Large-scale documentary dictionaries on the Internet
In: Wörterbücher. Dictionaries. Dictionnaires: Ein internationales Handbuch zur Lexikographie. An International Encyclopedia of Lexicography. Encyclopédie international de lexicographie (HSK 5.4) (2013), 1053-1069
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28
Measuring the Correctness of Double-Keying : Error Classification and Quality Control in a Large Corpus of TEI-Annotated Historical Text
Abstract: 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.
Keyword: ddc:400; Digitalisierung; Genauigkeit; Historische Sprachwissenschaft; Korpus; Korrekturlesen; Qualitätssicherung; Transkription
URN: urn:nbn:de:kobv:b4-opus-23547
URL: https://edoc.bbaw.de/files/2058/HaafWiegandGeyken_CorrectnessDoubleKeying_2013_jTEI4.pdf
https://nbn-resolving.org/urn:nbn:de:kobv:b4-opus-23547
https://edoc.bbaw.de/frontdoor/index/index/docId/2058
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29
Wege zu einem historischen Referenzkorpus des Deutschen : das Projekt Deutsches Textarchiv
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30
DeRiK: A German reference corpus of computer-mediated communication
Beißwenger, Michael; Ermakova, Maria; Geyken, Alexander. - : Oxford University Press, 2013
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31
Automatic example sentence extraction for a contemporary German dictionary
In: Proceedings of the 15th EURALEX International Congress 2012, Oslo, Norway, 7 - 11 August 2012 (2012), 343-349
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32
Multilingual corpora and multilingual corpus analysis
Fandrych, Christian; Ďurčo, Matej; Gabriel, Christoph. - Amsterdam [u.a.] : Benjamins, 2012
BLLDB
UB Frankfurt Linguistik
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33
Die dynamische Verknüpfung von Kollokationen mit Korpusbelegen und deren Repräsentationen im DWDS-Wörterbuch
Geyken, Alexander [Verfasser]; Klosa, Annette [Herausgeber]; Müller-Spitzer, Carolin [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2011
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34
Die dynamische Verknüpfung von Kollokationen mit Korpusbelegen und deren Repräsentation im DWDS-Wörterbuch
In: Datenmodellierung für Internetwörterbücher. 1. Arbeitsbericht des wissenschaftlichen Netzwerks "Internetlexikografie" (2011), 9-20
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35
Korpora in Lehre und Forschung
Geyken, Alexander; Petrakis, Stefanos; Abel, Andrea (Hrsg.). - Bozen : Bu, press, Bolzano Univ. Press, 2011
BLLDB
UB Frankfurt Linguistik
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36
Das Digitale Wörterbuch der Deutschen Sprache (DWDS)
In: Lexicographica. Internationales Jahrbuch für Lexikographie. International annual for lexicography. Revue internationale de lexicographie 26 (2010), 79-96
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37
Automatische Wortschatzerschließung großer Textkorpora am Beispiel de DWDS
In: Linguistik online. - Frankfurt, O. 39 (2009), 7 S.
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38
Generation of word profiles for large German corpora
In: Corpus Analysis and Variation in Linguistics (2009), 141-157
IDS Bibliografie zur deutschen Grammatik
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39
Automatische Wortschatzerschließung großer Textkorpora am Beispiel des DWDS
In: Linguistik Online, Vol 39, Iss 3, Pp 97-107 (2009) (2009)
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40
Automatische Wortschatzerschließung großer Textkorpora am Beispiel des DWDS
In: Linguistik Online; Bd. 39 Nr. 3 (2009) ; Linguistik Online; Vol. 39 No. 3 (2009) ; 1615-3014 (2009)
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