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  1. Rötzer, F.: Computer ergooglen die Bedeutung von Worten (2005) 5.01 
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  2. Frobese, D.T.: Klassifikationsaufgaben mit der SENTRAX : Konkreter Fall: Automatische Detektion von SPAM (2006) 5.01 
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  3. Artemenko, O.; Shramko, M.: Entwicklung eines Werkzeugs zur Sprachidentifikation in mono- und multilingualen Texten (2005) 5.01 
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  4. Bubenhofer, N.: Einführung in die Korpuslinguistik : Praktische Grundlagen und Werkzeuge (2006) 5.01 
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  5. Altmann, E.G.; Cristadoro, G.; Esposti, M.D.: On the origin of long-range correlations in texts (2012) 5.01 
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  6. RWI/PH: Auf der Suche nach dem entscheidenden Wort : die Häufung bestimmter Wörter innerhalb eines Textes macht diese zu Schlüsselwörtern (2012) 5.01 
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  7. Biselli, A.: Unter Generalverdacht durch Algorithmen (2014) 5.01 
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  8. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 5.01 
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  9. Sprachtechnologie : ein Überblick (2012) 5.01 
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  10. Baierer, K.; Zumstein, P.: Verbesserung der OCR in digitalen Sammlungen von Bibliotheken (2016) 5.01 
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  11. Menge-Sonnentag, R.: Google veröffentlicht einen Parser für natürliche Sprache (2016) 5.01 
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  12. Franke-Maier, M.: Computerlinguistik und Bibliotheken : Editorial (2016) 5.01 
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  13. Rötzer, F.: Kann KI mit KI generierte Texte erkennen? (2019) 5.01 
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  14. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 5.01 
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  15. Voss, O.: Übersetzer überflüssig? : Sprachsoftware DeepL und Acrolinx (2019) 5.01 
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  16. Holland, M.: Erstes wissenschaftliches Buch eines Algorithmus' veröffentlicht (2019) 5.01 
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  17. Giesselbach, S.; Estler-Ziegler, T.: Dokumente schneller analysieren mit Künstlicher Intelligenz (2021) 5.01 
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  18. Kurz, C.: Womit sich Strafverfolger bald befassen müssen : ChatGPT (2023) 5.01 
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  19. Szöke, D.: ChatGPT : wie Sie die KI ausprobieren können (2022) 5.01 
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  20. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 5.01 
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