Analyzing Film Adaptation through Narrative Alignment
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 7 of its 38 references that are in the map. First posted on arXiv 7 Nov 2023.
Builds on
7 of 38 references.
References · 7
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
- 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,605
- 2015Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Bookscited by 1,043
- 2014Distributed Representations of Sentences and Documentscited by 678
- 2022SGPT: GPT Sentence Embeddings for Semantic Searchcited by 204
- 2020What time is it? Temporal Analysis of Novelscited by 6
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Citing papers per year: 2024: 2; 2025: 0; 2026: 1.
3 papers.