mlsanityData to 7 Oct 2026

Towards a Linguistic Evaluation of Narratives: A Quantitative Stylistic Framework

arXiv 2604.19261 ↗First posted 21 Apr 2026cs.CLcited by 0

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Abstract (arXiv)

The evaluation of narrative quality remains a complex challenge, as it involves subjective factors such as plot, character development, and emotional impact. This work proposes a quantitative approach to narrative assessment by focusing on the linguistic dimension as a primary indicator of quality. The paper presents a methodology for the automatic evaluation of narrative based on the extraction of a comprehensive set of 33 quantitative linguistic features categorized into lexical, syntactic, and semantic groups. To test the model, an experiment was conducted on a specialized corpus of 23 books, including canonical masterpieces and self-published works. Through a similarity matrix, the system successfully clustered the narratives, distinguishing almost perfectly between professionally edited and self-published texts. Furthermore, the methodology was validated against a human-annotated dataset; it significantly outperforms traditional story-level evaluation metrics, demonstrating the effectiveness of quantitative linguistic features in assessing narrative quality.

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References · 14

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  11. 2024Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story Evaluationcited by 32
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2 more
  1. 2020Narrative Text Generation with a Latent Discrete Plancited by 12
  2. 2025Collaborative Storytelling and LLM: A Linguistic Analysis of Automatically-Generated Role-Playing Game Sessionscited by 1

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