Quantitative Intertextuality Analyzing the Markers of Information Reuse /

This book introduces quantitative intertextuality, a new approach to the algorithmic study of information reuse in text, sound and images. Employing a variety of tools from machine learning, natural language processing, and computer vision, readers will learn to trace patterns of reuse across divers...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Forstall, Christopher W. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Scheirer, Walter J. (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • What is Quantitative Intertextuality
  • Statistical Learning as a Model for Intertextuality
  • Lexical Matching: Text Reuse as Intertextuality
  • Semantic Matching: Tracing Reuse by Meaning
  • Sound Matching: Capturing Reuse in the Primitive Elements of Language
  • Image Matching: Detecting the Reuse of Visual Elements
  • Meta-Matching: Combining Evidence From Heterogeneous Sources
  • Parting Thoughts.