Search (11 results, page 1 of 1)

  • × language_ss:"d"
  • × theme_ss:"Computerlinguistik"
  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.01 
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    Date
    22. 1.2018 11:32:44
    Type
    a
  2. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.01 
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    Date
    22. 3.2015 9:30:24
  3. Biselli, A.: Unter Generalverdacht durch Algorithmen (2014) 0.00 
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  4. Altmann, E.G.; Cristadoro, G.; Esposti, M.D.: On the origin of long-range correlations in texts (2012) 0.00 
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    Abstract
    The complexity of human interactions with social and natural phenomena is mirrored in the way we describe our experiences through natural language. In order to retain and convey such a high dimensional information, the statistical properties of our linguistic output has to be highly correlated in time. An example are the robust observations, still largely not understood, of correlations on arbitrary long scales in literary texts. In this paper we explain how long-range correlations flow from highly structured linguistic levels down to the building blocks of a text (words, letters, etc..). By combining calculations and data analysis we show that correlations take form of a bursty sequence of events once we approach the semantically relevant topics of the text. The mechanisms we identify are fairly general and can be equally applied to other hierarchical settings.
    Type
    a
  5. Voss, O.: Übersetzer überflüssig? : Sprachsoftware DeepL und Acrolinx (2019) 0.00 
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  6. Holland, M.: Erstes wissenschaftliches Buch eines Algorithmus' veröffentlicht (2019) 0.00 
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    Abstract
    Der Wissenschaftsverlag Springer Nature hat nach eigenen Angaben das erste Buch veröffentlicht, das von einem Algorithmus verfasst wurde. Bei Springer Nature ist das nach Angaben des Wissenschaftsverlags erste maschinengenerierte Buch erschienen: "Lithium-Ion Batteries - A Machine-Generated Summary of Current Research" biete einen Überblick über die neuesten Forschungspublikationen über Lithium-Ionen-Batterien, erklärte die Goethe-Universität Frankfurt am Main. Dort wurde im Bereich Angewandte Computerlinguistik unter der Leitung von Christian Chiarcos jenes Verfahren entwickelt, das Textinhalte automatisch analysiert und relevante Publikationen auswählen kann. Es heißt "Beta Writer" und steht als Autor über dem Buch.
    Type
    a
  7. Baierer, K.; Zumstein, P.: Verbesserung der OCR in digitalen Sammlungen von Bibliotheken (2016) 0.00 
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  8. Franke-Maier, M.: Computerlinguistik und Bibliotheken : Editorial (2016) 0.00 
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    Editor
    Ledl, A.
    Type
    a
  9. Rötzer, F.: Kann KI mit KI generierte Texte erkennen? (2019) 0.00 
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  10. 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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  11. Menge-Sonnentag, R.: Google veröffentlicht einen Parser für natürliche Sprache (2016) 0.00 
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