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        <title>Analyzing Film Adaptation through Narrative Alignment</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Analyzing Film Adaptation through Narrative Alignment
%A Pial, Tanzir
%A Aunti, Shahreen
%A Pethe, Charuta
%A Kim, Allen
%A Skiena, Steven
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F pial-etal-2023-analyzing
%X 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.
%R 10.18653/v1/2023.emnlp-main.962
%U https://aclanthology.org/2023.emnlp-main.962
%U https://doi.org/10.18653/v1/2023.emnlp-main.962
%P 15560-15579

Markdown (Informal)

[Analyzing Film Adaptation through Narrative Alignment](https://aclanthology.org/2023.emnlp-main.962) (Pial et al., EMNLP 2023)

• Analyzing Film Adaptation through Narrative Alignment (Pial et al., EMNLP 2023)

ACL

• Tanzir Pial, Shahreen Aunti, Charuta Pethe, Allen Kim, and Steven Skiena. 2023. Analyzing Film Adaptation through Narrative Alignment. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 15560–15579, Singapore. Association for Computational Linguistics.