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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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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.