Search (11 results, page 1 of 1)

  • × language_ss:"d"
  • × theme_ss:"Computerlinguistik"
  • × type_ss:"el"
  1. Baierer, K.; Zumstein, P.: Verbesserung der OCR in digitalen Sammlungen von Bibliotheken (2016) 0.03 
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    Source
    027.7 Zeitschrift für Bibliothekskultur. 4(2016), H.2
  2. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.02 
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    Date
    29.12.2022 18:22:55
    Source
    c't. 2023, H.1, S.46- [https://www.heise.de/select/ct/2023/1/2233908274346530870]
  3. Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023) 0.01 
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  4. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.01 
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    Date
    22. 3.2015 9:30:24
  5. Rieger, F.: Lügende Computer (2023) 0.01 
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    Date
    16. 3.2023 19:22:55
  6. Lutz-Westphal, B.: ChatGPT und der "Faktor Mensch" im schulischen Mathematikunterricht (2023) 0.01 
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    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.19-21
  7. Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2023) 0.01 
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    Source
    Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.17-19
  8. RWI/PH: Auf der Suche nach dem entscheidenden Wort : die Häufung bestimmter Wörter innerhalb eines Textes macht diese zu Schlüsselwörtern (2012) 0.00 
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    Content
    "Die Dresdner Wissenschaftler haben die semantischen Eigenschaften von Texten mathematisch untersucht, indem sie zehn verschiedene englische Texte in unterschiedlichen Formen kodierten. Dazu zählt unter anderem die englische Ausgabe von Leo Tolstois "Krieg und Frieden". Beispielsweise übersetzten die Forscher Buchstaben innerhalb eines Textes in eine Binär-Sequenz. Dazu ersetzten sie alle Vokale durch eine Eins und alle Konsonanten durch eine Null. Mit Hilfe weiterer mathematischer Funktionen beleuchteten die Wissenschaftler dabei verschiedene Ebenen des Textes, also sowohl einzelne Vokale, Buchstaben als auch ganze Wörter, die in verschiedenen Formen kodiert wurden. Innerhalb des ganzen Textes lassen sich so wiederkehrende Muster finden. Diesen Zusammenhang innerhalb des Textes bezeichnet man als Langzeitkorrelation. Diese gibt an, ob zwei Buchstaben an beliebig weit voneinander entfernten Textstellen miteinander in Verbindung stehen - beispielsweise gibt es wenn wir an einer Stelle einen Buchstaben "K" finden, eine messbare höhere Wahrscheinlichkeit den Buchstaben "K" einige Seiten später nochmal zu finden. "Es ist zu erwarten, dass wenn es in einem Buch an einer Stelle um Krieg geht, die Wahrscheinlichkeit hoch ist das Wort Krieg auch einige Seiten später zu finden. Überraschend ist es, dass wir die hohe Wahrscheinlichkeit auch auf der Buchstabenebene finden", so Altmann.
  9. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.00 
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    Date
    22. 1.2018 11:32:44
  10. Franke-Maier, M.: Computerlinguistik und Bibliotheken : Editorial (2016) 0.00 
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    027.7 Zeitschrift für Bibliothekskultur. 4(2016), H.2
  11. Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2022) 0.00 
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    Content
    Vgl. auch den Abdruck des Beitrages in: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2023, H.1, S.17-19. Vgl. auch ihr Video bei Youtube: https://www.youtube.com/watch?v=cMuBo_rH15c.

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