Predicting Poets' Origins from Verse: A Computational Analysis of Regional Linguistic Fingerprints in the Complete Tang Poems
arXiv:2606.24093v1 Announce Type: cross Abstract: We ask whether the geographic origin of Tang-dynasty poets leaves a detectable linguistic trace in their work. Aggregating every poem attributed to each author in the Complete Tang Poems (Quan Tang Shi) and linking poets to their administrative circuit of origin via the China Biographical Database (CBDB), we build a poet-level corpus of 357 poets across the ten Tang circuits and frame origin prediction as multi-class classification. Using character $n$-gram TF-IDF together with interpretable domain features (imagery, season, and allusion), clas
This academic paper was published on arXiv, representing a new data point in computational linguistics research.
While an interesting application of AI, this specific research on historical poetry does not directly impact current strategic interests or technological trajectories.
Little changes in the immediate strategic landscape, as this is a theoretical computational linguistics study.
Further academic interest in applying computational methods to historical texts may emerge.
Improved tools for historical and literary analysis could be developed over time.
These analytical methods might eventually be adapted for more contemporary linguistic forensics or cultural studies, though this is highly speculative.
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Read at arXiv cs.AI