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@misc{veskis2026runoverse,
  author = {Veskis, Kaarel},
  title = {{RunoVerse}: A Digital Explorer for Finnic Runosong Corpora},
  year = {2026},
  publisher = {Estonian Folklore Archives of the Estonian Literary Museum},
  url = {https://runoverse.org/},
  note = {Version 1.0. Accessed: }
}

What is this?

RunoVerse is a combined word index of the Finnic runosong (folk poetry) corpora. It brings together lemmatized word data from four collections, allowing cross-linguistic exploration of the shared Finnic poetic tradition.

Please note that the RunoVerse is under active development. The lemmatization of historical dialectal texts is inherently approximate, and the AI-generated translations, etymological analyses, and similarity metrics should be considered experimental. The statistics and counts shown may change as the data is refined. This tool is intended as an exploratory aid, not as a definitive reference.

Source corpora

The KR corpus differs in kind from the other three. Its name, Kirjalliset Runot ("Written Poems"), reflects its origin: Kalevala-metre verse preserved in written and printed sources rather than recorded from oral singers in the field. As Kati Kallio (Finnish Literature Society) documents, verse preserved this way survives largely as short pieces embedded in other documents – such as proverbs, charms, dedications, and congratulatory or condolence verses – alongside the large 19th-century literary editions such as the Kalevala, Kanteletar, and Kalevipoeg that also form part of this corpus. See Kallio's study of literary Kalevala-metre poetry for background: folklore.ee/folklore/vol67/kallio.pdf.

Lexicon statistics

Statistics reflect the current state of the lemmatized data and may change as lemmatization is refined.

Data sources and source filter

Each lemma in the lexicon has been tagged with one of three source categories, reflecting how it was identified. The source filter dropdown in the main view lets you filter by these categories:

The source categories reflect word-form-level overlap between the two lemmatization systems, not whether an entry has translations. Because the corpus pipeline and DeepSeek sometimes lemmatize the same word forms differently, a word form can belong to a “Corpus Only” lemma while also appearing independently in the DeepSeek data under a different lemma. The “Both Sources” category captures entries where the same word forms were recognized by both systems.

The agreement badge in the DeepSeek tab shows a ratio like “30/35 agree +15 n/a”, meaning 30 out of 35 DS-covered word forms have the same lemma in both systems, and 15 word forms are not present in the DS data. Hover over the badge for a full breakdown.

DeepSeek AI annotations

A subset of the corpus was independently annotated using DeepSeek, a large language model, to provide additional linguistic analysis. The AI annotations include:

• English translations of Estonian and Finnish word forms
• Etymological notes and cognate identification
• Morphological descriptions (case, number, tense, etc.)
• Part-of-speech tagging

AI-generated annotations are provided as supplementary material and have not been manually verified. They should be used with appropriate caution, particularly for etymological claims and translations of rare dialectal forms.

Similarity and embedding data

The lexicon includes two word-level similarity systems to help explore relationships between word forms:

• Word form similarity – Edit-distance and phonological similarity between inflected forms across the corpus. Covers 1,166,348 word forms with ranked nearest neighbors and lemma-agreement indicators.
• BERT embeddings – Contextual nearest neighbors from a BERT model fine-tuned on Estonian runosong texts. Provides 190,975 query lemmas with their 10 nearest semantic neighbors, capturing meaning-based rather than form-based similarity.

Poem similarity

Five poem-level similarity algorithms identify related poems across the 292,092-poem corpus. Results are available in the Poem Reader (Related Poems panel) and the standalone Similarity Explorer with side-by-side comparison, network graphs, and geographic/temporal analytics.

The Similarity Explorer shows cross-algorithm agreement badges (BOTH) when poems appear in multiple algorithms' results, and ET↔FI badges for cross-lingual matches in the Translation-pivot, Alignment, and Verse-level RRF algorithms.

Verse similarity

Five algorithms (Jaccard, TF-IDF, Translation-pivot, CharBigram, Sentence) operate at the individual verse level across 4.32 million verse occurrences. Each verse is compared against all verses in other poems, with up to 20 nearest neighbors stored per algorithm.

Verse similarity is available in the Poem Reader (click the expand arrow on any verse line) and the Verse Similarity Explorer, which also provides full-text verse search and a browser for the top 200 formulaic patterns – recurring verse lines ranked by cluster size across both corpora.

Explore the lexicon

Feature guides

RunoVerse contains over 30 interconnected tools for exploring the Finnic runosong tradition. These guides describe each tool in detail — what it shows, what data powers it, and how to use it.

Key features

• Search by lemma, word form, or English translation with diacritics-insensitive matching
• Filter by language, part of speech, and data source (corpus, DeepSeek, or both)
• Dictionary annotations from 9 Estonian and Finnish lexicographic sources
• DeepSeek AI translations, etymology, and morphological descriptions for 165K poems
• Five poem similarity algorithms with network graphs, geographic maps, and temporal analytics
• Verse-level similarity across 4.32M verses with inline expansion and full-text search
• Cross-lingual exploration: 4,913 cognate pairs, 2,118 shared lemmas, 49K etymology families
• Poetic analysis: alliteration patterns, semantic parallelism, formulaic phrases, and meter
• Poem reader with word-level glosses, POS tags, and per-verse similarity
• Geographic and temporal corpus analysis across 803 collection places and four centuries
• Bookmarkable deep links, keyboard navigation, and CSV export

Dictionary annotations

Word entries are enriched with definitions from Estonian and Finnish lexicographic sources:

• EMS – Eesti murrete sõnaraamat (Dictionary of Estonian Dialects). Institute of the Estonian Language.
• EKSS – Eesti keele seletav sõnaraamat (Explanatory Dictionary of Estonian). Institute of the Estonian Language.
• IMS – Ida-Eesti murdesõnastik (Eastern Estonian Dialect Dictionary). Institute of the Estonian Language.
• ERLA – Harva ja vähem-kasutatavate sõnade sõnastik (Glossary of Rare Folk-Song Words). Estonian Folklore Archives of the Estonian Literary Museum.
• VMS – Vähemtuntud murdesõnade seletusi (Glossary of Lesser-Known Dialect Words). Estonian Folklore Archives of the Estonian Literary Museum.
• Seto – Seto sõnastik (Seto Dictionary). Inge Käsi, Institute of the Estonian Language, 2016.
• SMS – Suomen murteiden sanakirja (Dictionary of Finnish Dialects). Kotimaisten kielten keskus (Kotus). CC BY 4.0.
• KKS – Karjalan kielen sanakirja (Dictionary of the Karelian Language). Kotimaisten kielten keskus (Kotus). CC BY 4.0.
• VKS – Vanhan kirjasuomen sanakirja (Dictionary of Old Literary Finnish). Kotimaisten kielten keskus (Kotus). CC BY 4.0.

Lemmatization

Estonian texts were lemmatized using EstNLTK morphological analysis combined with the University of Tartu dialect corpus (Lindström, Lippus & Tuisk, 2019), runosong word lists annotated by Kristiina Ross (Ross & Lohk, 2017), multiple lexical resources (EMS, EKSS, VES, ERLA, and others), expert manual annotations (37% of the corpus), and iterative automated correction cycles.

Finnish texts were lemmatized using a combinatory approach with a multi-tier fallback chain including Omorfi, Voikko, and Stanza, supplemented by dialectal dictionaries: Suomen murteiden sanakirja (SMS), Karjalan kielen sanakirja (KKS), and Vanhan kirjasuomen sanakirja (VKS).

In addition, approximately 165,000 poems were independently annotated using DeepSeek-R1, a large language model, run on the LUMI supercomputer. The annotation was carried out by Lidia Pivovarova (University of Helsinki), following the prompt design methodology developed collaboratively by computational linguists and folklorists (Pivovarova et al., 2025). The AI analysis produced lemmatizations, English translations, morphological descriptions, and etymological roots for each word token. These annotations yielded 107,110 additional lemmas not present in the corpus pipeline, and provided cross-references between the two lemmatization systems for entries where both recognized the same word forms.

References and acknowledgements

RunoVerse builds on the work of the FILTER project (Formulaic Intertextuality, Thematic Networks and Poetic Variation across Regional Cultures of Finnic Oral Poetry), whose corpus infrastructure and verse-alignment methods underlie several similarity layers here. Runoregi, FILTER's own interface for exploring poem and verse similarity in Finnic oral poetry, is the natural companion tool for readers who want a second, independent view of many of the same texts.

Corpora

• SKVR – Finnish Literature Society (Suomalaisen Kirjallisuuden Seura, SKS). Suomen Kansan Vanhat Runot. Digital corpus. skvr.fi. CC BY 4.0.
• JR – Finnish Literature Society (SKS). Julkaisemattomat Runot. aineistot.finlit.fi/skvr/runoluettelo-jr
• ERAB – Oras, J.; Saarlo, L.; Sarv, M.; Labi, K.; Uus, M.; Šmitaite, R. (comps.). Eesti Regilaulude Andmebaas. Estonian Folklore Archives of the Estonian Literary Museum. 2003–present. folklore.ee/regilaul/andmebaas
• KR – Korpikallio, S. (comp.). Kirjalliset Runot. A corpus of literary poems in Kalevala metre (1658–1866), compiled at the Finnish Literature Society (SKS) within the FILTER and REFOP projects (Research Council of Finland, nos. 333138, 340647). CC-BY 4.0. github.com/sks190/KR

Place coordinates

The Villages, communes and other places layer on the Places map draws 5,362 places finer than the collection place – villages, communes, manors, settlements – covering 122,717 of the 130,757 records that name one (93.9%). Its coordinates come from the registers below. A marker shows a place as a register records it, not a surveyed centre: register coordinates are name-cluster reference points, good to about the diameter of a village.

• Maa- ja Ruumiamet / Rahvusarhiiv – Ajalooline haldusjaotus: vallad 1922, vallad 1938; mõisad kuni 1917 (mõisakeskused); kihelkonnad kuni 1917. Data as of 2025-05-09. geoportaal.maaamet.ee
• Maa- ja Ruumiamet – Asustusüksused, data as of 2024-12-01. geoportaal.maaamet.ee
• Maanmittauslaitos – Nimistö 05/2026. CC BY 4.0. maanmittauslaitos.fi
• WarSampo Karelian places – Semantic Computing Research Group (SeCo), Aalto University / University of Helsinki. CC BY 4.0, retrieved August 2026. ldf.fi/dataset/warsa
• Wikidata – Wikidata contributors. CC0 1.0, retrieved August 2026. wikidata.org
• GeoNames – CC BY 4.0, retrieved August 2026. geonames.org
• OpenStreetMap – © OpenStreetMap contributors; data available under the Open Database License (ODbL 1.0), retrieved August 2026. openstreetmap.org/copyright
• Wikipedia – Russian, Finnish and Swedish Wikipedia articles, CC BY-SA 4.0, retrieved August 2026. wikipedia.org
• KNAB – Kohanimeandmebaas, Eesti Keele Instituut, compiled by Peeter Päll. Database last updated 2022-07-28. arhiiv.eki.ee/knab
• Yandex Maps – two Ingrian tract points (Räkälä, Oussimäki), read off the service in August 2026. yandex.com/maps
• Olonets province settlement list, 1905 – Blagoveshchenskiy, I. I. (comp.). Список населённых мест Олонецкой губернии по сведениям за 1905 год [List of populated places of Olonets Governorate, data for 1905]. Olonets Governorate Statistical Committee, Petrozavodsk, 1907. An official publication, in the public domain; digitised and located village by village by the олонецкая-губерния.рф project, retrieved 2026-08-19. олонецкая-губерния.рф
• Luovutetun Etelä-Karjalan pitäjät – Lappeenrannan maakuntakirjasto, Carelica collection. Village rosters for five Karelian Isthmus places, retrieved 2026-08-18; no coordinate comes from it. luovutetunetelakarjalanpitajat.fi
• Juminkeko – Juminkeko Foundation, Viena rune-village pages. The location of one destroyed rune village (Tšena, Vuokkiniemi), retrieved 2026-08-19; the coordinate itself is GeoNames’. juminkeko.fi

About 850 of these places are pinned one by one rather than by the automatic matcher. Most are read from the registers above; a few dozen rest on a single cited source – a parish history, a 1905 volost roster, a map service – and each of those names its own source in that place’s popup.

Lemmatization tools

• EstNLTK – Laur, S.; Orasmaa, S.; Särg, D.; Tammo, P. (2020). EstNLTK 1.6: Remastered Estonian NLP Pipeline. Proceedings of LREC 2020, pp. 7154–7162. github.com/estnltk/estnltk
• Vabamorf – Kaalep, H. J.; Vaino, T. (2001). Complete morphological analysis in the linguist’s toolbox. Congressus Nonus Internationalis Fenno-Ugristarum, 5, pp. 9–16.
• Omorfi – Pirinen, T. A. (2015). Omorfi – Free and open source morphological lexical database for Finnish. Proceedings of NODALIDA 2015, pp. 313–315. github.com/flammie/omorfi
• Voikko – Pitkänen, H. Voikko – Free linguistic software for Finnish. voikko.puimula.org
• Stanza – Qi, P.; Zhang, Y.; Zhang, Y.; Bolton, J.; Manning, C. D. (2020). Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. Proceedings of ACL 2020: System Demonstrations. stanfordnlp.github.io/stanza
• DeepSeek-R1 – DeepSeek-AI (2025). DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. arXiv preprint arXiv:2501.12948. deepseek.com
• Pivovarova et al. – Pivovarova, L.; Kallio, K.; Kanner, A.; Lindström, J.; Mäkelä, E.; Saarlo, L.; Veskis, K.; Väina, M. (2025). Benchmarking Large Language Models for Lemmatization and Translation of Finnic Runosongs. Proceedings of the 10th International Workshop on Computational Linguistics for Uralic Languages (IWCLUL 2025), pp. 87–105. Association for Computational Linguistics. aclanthology.org/2025.iwclul-1.12
• Lindström, Lippus & Tuisk – Lindström, L.; Lippus, P.; Tuisk, T. (2019). The online database of the University of Tartu archives of Estonian dialects and kindred languages and the Corpus of Estonian dialects. In Björklof, S. and Jantunen, S. (eds.), Multilingual Finnic: Language Contact and Change. Helsinki: Finno-Ugrian Society, pp. 327–350. doi.org/10.33341/uh.85040
• Ross & Lohk – Ross, K.; Lohk, A. (2017). Words, forms and phrases in Estonian folksongs and hymns. Folklore: Electronic Journal of Folklore, 67, pp. 49–64. doi.org/10.7592/FEJF2017.67.ross_lohk
• Janicki, Kallio & Sarv – Janicki, M.; Kallio, K.; Sarv, M. (2023). Exploring Finnic written oral folk poetry through string similarity. Digital Scholarship in the Humanities, 38(4), pp. 1510–1525. doi.org/10.1093/llc/fqac034

Lexical resources

• SMS – Kotimaisten kielten keskus (Kotus). Suomen murteiden sanakirja (Dictionary of Finnish Dialects). kaino.kotus.fi/sms. CC BY 4.0.
• KKS – Kotimaisten kielten keskus (Kotus). Karjalan kielen sanakirja (Dictionary of the Karelian Language). kaino.kotus.fi/kks. CC BY 4.0.
• VKS – Kotimaisten kielten keskus (Kotus). Vanhan kirjasuomen sanakirja (Dictionary of Old Literary Finnish). CC BY 4.0.
• EMS – Institute of the Estonian Language. Eesti murrete sõnaraamat. eki.ee/dict/ems
• EKSS – Institute of the Estonian Language. Eesti keele seletav sõnaraamat. eki.ee/dict/ekss
• VES – Võro Institute. Võro-eesti synaraamat (comp. Jüvä Sullõv). folklore.ee/Synaraamat
• ERLA – Estonian Folklore Archives of the Estonian Literary Museum. Harva ja vähem-kasutatavate sõnade sõnastik. folklore.ee/laulud/erla

Rights and reuse

The poem and legend texts remain under the terms of their source collections (see the corpus references above: SKVR and KR are published under CC BY 4.0; the JR and ERAB materials belong to the Finnish Literature Society and the Estonian Folklore Archives). Authorship of the annotation layers is described above — the AI-produced lemmatizations, English translations, and morphological and etymological analyses come from the DeepSeek-R1 annotation carried out by Lidia Pivovarova (University of Helsinki), following the methodology of Pivovarova et al. (2025), and should be treated as experimental. The RunoVerse compilation itself — the site, its indexes, and its visualizations — is © Kaarel Veskis. Use in research and teaching with attribution is welcome; for other uses, please get in touch.

Contact

For questions about RunoVerse, contact kaarel.veskis@kirmus.ee

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