1. Approaches to analysing historical newspapers using LLMsFilip Dobranić, Tina Munda, Oliver Pejić, Vojko Gorjanc, Uroš Šmajdek, David Bordon, Jakob Lenardič, Tjaša Konovšek, Andrej Pančur, Kristina Pahor de Maiti, Ciril Bohak, Darja Fišer, strokovni članek Povzetek: This study presents a computational analysis of the Slovene historical newspapers \textit{Slovenec} and \textit{Slovenski narod} from the sPeriodika corpus, combining topic modelling, large language model (LLM)-based aspect-level sentiment analysis, entity-graph visualisation, and qualitative discourse analysis to examine how collective identities, political orientations, and national belonging were represented in public discourse at the turn of the twentieth century. Using BERTopic, we identify major thematic patterns and show both shared concerns and clear ideological differences between the two newspapers, reflecting their conservative-Catholic and liberal-progressive orientations. We further evaluate four instruction-following LLMs for targeted sentiment classification in OCR-degraded historical Slovene and select the Slovene-adapted GaMS3-12B-Instruct model as the most suitable for large-scale application, while also documenting important limitations, particularly its stronger performance on neutral sentiment than on positive or negative sentiment. Applied at dataset scale, the model reveals meaningful variation in the portrayal of collective identities, with some groups appearing predominantly in neutral descriptive contexts and others more often in evaluative or conflict-related discourse. We then create NER graphs to explore the relationships between collective identities and places. We apply a mixed methods approach to analyse the named entity graphs, combining quantitative network analysis with critical discourse analysis. The investigation focuses on the emergence and development of intertwined historical political and socionomic identities. Overall, the study demonstrates the value of combining scalable computational methods with critical interpretation to support digital humanities research on noisy historical newspaper data.
Objavljeno v DiRROS: 03.06.2026; Ogledov: 127; Prenosov: 63
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8. Zbirka raziskovalnih podatkov Smrtne žrtve med prebivalstvom na območju Republike Slovenije med drugo svetovno vojno in neposredno po njejMarta Rendla, Mojca Šorn, Tamara Logar, Andrej Pančur, 2025, strokovni članek Ključne besede: 2. svetovna vojna, žrtve, baze podatkov, SIstory, občanska znanost, zgodovina
Objavljeno v DiRROS: 23.03.2026; Ogledov: 373; Prenosov: 129
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9. Negation and negative concord in SlovenianKristina Gregorčič, Gašper Ilc, Jakob Lenardič, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Ključne besede: ni-pronouns, bare pronouns, koli-pronouns, Negative Concord, Negative Polarity Items, Free Choice Items, negation, syntax, semantics, pragmatics
Objavljeno v DiRROS: 18.03.2026; Ogledov: 322; Prenosov: 132
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