Search (28 results, page 2 of 2)

  • × language_ss:"d"
  • × theme_ss:"Computerlinguistik"
  • × type_ss:"el"
  1. Rötzer, F.: Kann KI mit KI generierte Texte erkennen? (2019) 0.00 
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  2. Stieler, W.: Anzeichen von Bewusstsein bei ChatGPT und Co.? (2023) 0.00 
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  3. Szöke, D.: ChatGPT : wie Sie die KI ausprobieren können (2022) 0.00 
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  4. Räwel, J.: Automatisierte Kommunikation (2023) 0.00 
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  5. 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 statistische Textanalyse funktioniert unabhängig von der Sprache Während sowohl Buchstaben als auch Wörter Langzeit-korreliert sind, kommen Buchstaben nur selten an bestimmten Stellen eines Textes gehäuft vor. "Ein Buchstabe ist eben nur sehr selten so eng mit einem Thema verknüpft wie das Wort zu dem er einen Teil beiträgt. Buchstaben sind sozusagen flexibler einsetzbar", sagt Altmann. Ein "a" beispielsweise kann zu einer ganzen Reihe von Wörtern beitragen, die nicht mit demselben Thema in Verbindung stehen. Mit Hilfe der statistischen Analyse von Texten ist es den Forschern gelungen, die prägenden Wörter eines Textes auf einfache Weise zu ermitteln. "Dabei ist es vollkommen egal, in welcher Sprache ein Text geschrieben ist. Es geht nur noch um die Geschichte und nicht um sprachspezifische Regeln", sagt Altmann. Die Ergebnisse könnten zukünftig zur Verbesserung von Internetsuchmaschinen beitragen, aber auch bei Textanalysen und der Suche nach Plagiaten helfen."
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  6. Menge-Sonnentag, R.: Google veröffentlicht einen Parser für natürliche Sprache (2016) 0.00 
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  7. Donath, A.: Nutzungsverbote für ChatGPT (2023) 0.00 
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  8. Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2022) 0.00 
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