Analyzing Film Adaptation through Narrative Alignment
November 07, 2023 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
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Authors
Tanzir Pial, Shahreen Salim, Charuta Pethe, Allen Kim, Steven Skiena
arXiv ID
2311.04020
Category
cs.CL: Computation & Language
Citations
4
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
5 months ago
Abstract
Novels are often adapted into feature films, but the differences between the two media usually require dropping sections of the source text from the movie script. Here we study this screen adaptation process by constructing narrative alignments using the Smith-Waterman local alignment algorithm coupled with SBERT embedding distance to quantify text similarity between scenes and book units. We use these alignments to perform an automated analysis of 40 adaptations, revealing insights into the screenwriting process concerning (i) faithfulness of adaptation, (ii) importance of dialog, (iii) preservation of narrative order, and (iv) gender representation issues reflective of the Bechdel test.
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