Between Century and Poet: Graph-Based Lexical Semantic Change in Persian Poetry

arXiv cs.CL / 4/9/2026

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Key Points

  • The paper studies how meanings in Persian poetry evolve across centuries and poets, arguing that semantic change is driven by shifting relationships among words rather than simple vector drift.
  • It combines aligned Word2Vec embeddings with graph-based neighborhood analysis to track changes such as lost and gained neighbors, changing “bridge” roles, and movement across semantic communities.
  • Using twenty target words anchored to recurring reference terms (e.g., Earth, Night, wine terms, Heart), the study finds distinct patterns: Night varies more with time, Earth with poet-specific factors, and Heart maintains continuity despite role mobility.
  • The authors also show that the two wine reference terms behave differently, revealing probe sensitivity where one is broad and diffuse while the other is narrower and more stable.
  • A lexical audit highlights that the corpus includes historically motivated terms, poet-specific usages, and some sparsely attested mystical vocabulary, so computational interpretations should be handled with caution, especially for Sufi terms.

Abstract

Meaning in Persian poetry is both historical and relational. Words persist through literary tradition while shifting their force through changing constellations of neighbors, rhetorical frames, and poetic voices. This study examines that process using aligned Word2Vec spaces combined with graph-based neighborhood analysis across centuries and major poets. Rather than modeling semantic change as vector displacement alone, it treats lexical history as the rewiring of local semantic graphs: the gain and loss of neighbors, shifts in bridge roles, and movement across communities. The analysis centers on twenty target words, anchored by five recurrent reference terms: Earth, Night, two wine terms, and Heart. Surrounding them are affective, courtly, elemental, and Sufi concepts such as Love, Sorrow, Dervish, King, Annihilation, and Truth. These words exhibit distinct patterns of change. Night is more time-sensitive, Earth more poet-sensitive, and Heart shows continuity despite graph-role mobility. The two wine terms highlight probe sensitivity: one is broad and semantically diffuse, while the other is narrower and more stable. A lexical audit confirms that the corpus contains historically driven terms, poet-specific usages, and sparsely attested mystical vocabulary requiring caution. Overall, semantic change in Persian poetry is better captured as neighborhood rewiring than as abstract drift. For Digital Humanities, this approach restores local structure to computational analysis and supports interpretations closer to literary practice: persistence, migration, mediation, and selective transformation.