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  • × language_ss:"d"
  • × theme_ss:"Computerlinguistik"
  1. Engerer, V.: Informationswissenschaft und Linguistik. : kurze Geschichte eines fruchtbaren interdisziplinäaren Verhäaltnisses in drei Akten (2012) 0.01 
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  2. ¬Der Student aus dem Computer (2023) 0.01 
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    Date
    27. 1.2023 16:22:55
  3. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.01 
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    Source
    c't. 2000, H.22, S.230-231
  4. Kuhlmann, U.; Monnerjahn, P.: Sprache auf Knopfdruck : Sieben automatische Übersetzungsprogramme im Test (2000) 0.01 
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    Source
    c't. 2000, H.22, S.220-229
  5. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.01 
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    Date
    22. 3.2015 9:37:18
  6. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.00 
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
  7. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.00 
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    Date
    22. 3.2015 9:30:24
  8. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.00 
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    Date
    29.12.2022 18:22:55
  9. Rieger, F.: Lügende Computer (2023) 0.00 
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    Date
    16. 3.2023 19:22:55
  10. Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008) 0.00 
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    Date
    22. 1.2011 10:38:28
  11. Lorenz, S.: Konzeption und prototypische Realisierung einer begriffsbasierten Texterschließung (2006) 0.00 
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    Date
    22. 3.2015 9:17:30
  12. 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."
  13. Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.00 
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    Date
    26.12.2000 13:22:17
  14. Pinker, S.: Wörter und Regeln : Die Natur der Sprache (2000) 0.00 
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    Date
    19. 7.2002 14:22:31
  15. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.00 
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    Date
    14. 4.2007 10:04:22
  16. 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
  17. Schürmann, H.: Software scannt Radio- und Fernsehsendungen : Recherche in Nachrichtenarchiven erleichtert (2001) 0.00 
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    Source
    Handelsblatt. Nr.79 vom 24.4.2001, S.22
  18. Melzer, C.: ¬Der Maschine anpassen : PC-Spracherkennung - Programme sind mittlerweile alltagsreif (2005) 0.00 
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    Date
    3. 5.1997 8:44:22

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