Intertextual Model

Intertextual modeling focuses on computationally analyzing relationships between texts, identifying influences, allusions, and shared patterns across different documents. Current research explores applying large language models and established techniques like Burrows' Delta to detect these relationships in diverse contexts, ranging from ancient literature to modern scientific peer review. This work is significant for advancing text analysis capabilities, enabling new insights in fields like literary studies and improving the efficiency of scholarly processes such as peer review. The development of annotated corpora and refined algorithms is driving progress in this area.