Analyzing Film Adaptation through Narrative Alignment
Tanzir Pial, Shahreen Salim Aunti, Charuta Pethe, Allen Kim, Steven Skiena
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 01e5f935-e5ec-44a1-a42d-6b4ddcacfc8dCited by top-tier papers1
Ask how each one uses itBuilds on4
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah et al.NeurIPS 2020 · 64,255 citations
- What time is it? Temporal Analysis of NovelsAllen Kim, Charuta Pethe, Steven SkienaEMNLP 2020 · 14 citations
- Joint Estimation and Analysis of Risk Behavior Ratings in Movie ScriptsVictor R. Martinez, Krishna Somandepalli, Yalda T. Uhls, Shrikanth NarayananEMNLP 2020 · 8 citations
- GNAT: A General Narrative Alignment ToolTanzir Pial, Steven SkienaEMNLP 2023 · 3 citations
Related papers
- Chapter Ordering in NovelsAllen Kim, Steven SkienaEMNLP 2022 · 1 citation
- CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model GenerationTong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min et al.EMNLP 2024 · 4 citations
- SeDA: Bridging the Gap between Efficient Syntactic and Precise Semantic Search of Similar Passages in Large Text CorporaPranay Mundra, Daniel Kocher, Martin Schaeler, Nikolaus AugstenVLDB 2026
- Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation FrameworkAnna Wegmann, Dong NguyenEMNLP 2021 · 7 citations
- ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferYuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang et al.ACL 2021
