Modelling Intertextuality with N-gram Embeddings

• URL: http://arxiv.org/abs/2509.06637v2
• Date: Tue, 09 Sep 2025 07:20:13 GMT
• Title: Modelling Intertextuality with N-gram Embeddings
• Authors: Yi Xing,
• Abstract summary: This paper proposes a new quantitative model of intertextuality to enable scalable analysis and network-based insights.<n> Validation on four texts with known degrees of intertextuality, alongside a scalability test on 267 diverse texts, demonstrates the method's effectiveness and efficiency.
• Score: 0.8731440790248101
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Intertextuality is a central tenet in literary studies. It refers to the intricate links between literary texts that are created by various types of references. This paper proposes a new quantitative model of intertextuality to enable scalable analysis and network-based insights: perform pairwise comparisons of the embeddings of n-grams from two texts and average their results as the overall intertextuality. Validation on four texts with known degrees of intertextuality, alongside a scalability test on 267 diverse texts, demonstrates the method's effectiveness and efficiency. Network analysis further reveals centrality and community structures, affirming the approach's success in capturing and quantifying intertextual relationships.

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