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Song Type Explorer

Browse Finnic runosong types from SKVR, JR, KR, and ERAB corpora. Explore their geographic distribution, temporal spread, and co-occurrence with other types.

About Song Types

Runosong types are scholarly classifications of poems by their content and function. The Finnish SKVR corpus assigns type labels (runotyypit) to 98.6% of its poems, and the Estonian ERAB corpus has type labels (laulutüübid) for 65.5% of its poems. Types include incantations, lullabies, epic narratives, wedding songs, and many more. The English names are AI contextual translations of the original type names, with manual corrections.

How to Use

Search for types by name or English translation. Filter by language (Finnish/Estonian) and theme category. Click a type to see its geographic map, temporal distribution, co-occurring types, and sample poems. Sort by frequency, alphabetically, or by geographic concentration.

Geographic Concentration (HHI)

The Herfindahl-Hirschman Index measures how concentrated a type is geographically. Low values (near 0) mean the type is widespread across many places; higher values mean it was collected primarily in a few areas.

END Association

END (Emotion Neighbourhood Density) measures how much a song type's vocabulary co-occurs with emotion lexicon items across the corpus. A high END score means the type's characteristic words tend to appear in poems that also contain many emotion words. This does not directly measure emotional intensity — incantation and healing types may score high because their vocabulary (body parts, ailments) overlaps with the emotion word list. Scores are language-adjusted (compared against same-language baselines) so Finnish and Estonian types are comparable.

Data Source

Song type labels come from SKVR metadata (Finnish) and ERAB metadata (Estonian). Types are shown in their original language; the English names are AI contextual translations of those names, with manual corrections.

The type names and classifications come from the archival SKVR and ERAB catalogues; the English type names are AI translations (with manual corrections).

List and Tree Views

Use the List / Tree toggle to switch how types are shown. List is a flat, sortable view of every matching type. Tree arranges types under the original archive catalogue hierarchy (the SKVR, ERAB and JR typologies), so you can browse by family rather than by name. Your language, theme and search filters apply to both views. Tree view is available in the All, Finnish and Estonian lists; it is turned off for type groups.

Clusters View

The Clusters view — the one you land on when you open this page — is a zoomable bubble map that arranges the song types into 174 broad families and 3,577 finer groups of near-identical or closely related songs. Each large bubble is a family; the smaller bubbles nested inside it are its groups. Click a bubble to zoom in, click a group to list the individual types it holds, and click any type to open its full detail. Captions sit centred on the bubbles roomy enough to hold them; smaller bubbles stay uncaptioned to keep the map readable, but hovering over any bubble shows its name and how many types it contains. To pinpoint a particular cluster — including the many too small for a caption — use the Find a family box beside the map: type or pick a name and its bubble flashes and zooms into view. Clicking an on-map caption flashes its bubble too, so the link between a name and its circle is always unmistakable. The Labels switch reads the captions in English or Estonian, and the language buttons dim the families that are only Finnish, only Estonian, or a mix of both. The filter buttons above the map work here too: they light up the groups holding at least one song type that matches the choice, and the families those groups belong to.

When a filter is on, a group in which only some song types match the choice is drawn pale. Its bubble fills from the bottom like a glass: the height of the fill shows what share of the group’s types match. A thin band at the bottom of a bubble means that only one or two of many types match; a group in which every type matches stays fully coloured. The list beside the map then starts with the families (and, inside a family, the groups) that hold the most matching song types. The number after each name still counts all their types.

How the clusters were built

The grouping is computed, not hand-curated. For every pair of song types we combine six signals — how alike the English translations of the two type names are, similar poems, shared verses, appearing together in the same poems, the cross-corpus bridge, and shared semantic category — into a single connection strength, and keep the strongest connections (332,601 of them) as a network. A community-detection algorithm (Leiden) then finds the tightly connected groups, and bundles those into the 174 broad families. Of these groups, 1,730 are cross-corpus: they hold ERAB types as well as types from SKVR, KR or JR. In 1,609 of them the links across the corpora rest only on the English translations of the type names, which mark at most a shared theme, not the same song. Each group was then given a plain-language Estonian and English name by a panel of AI language models, and the loosest and largest groups were re-checked by a second, skeptical panel before publication. The grouping is a fresh computational reading of the corpus, so it complements — rather than replaces — the original archive typologies in the Tree view.

Theme Distribution

The bar chart above the list shows how many poems fall under each theme category. Click a bar to filter the list down to that theme.

The theme comes from the archives’ filing of the type or its songs where there is one, otherwise from words in the type’s name.

Semantic Categories

In a type's detail view, this section shows which "semantic worlds" the type's vocabulary belongs to — for example body parts, nature, or kinship — based on an analysis of the words that recur in its poems. Each category links through to a fuller comparison, and the sample words link to the word lexicon.

Genre Cross-Reference

For Estonian (ERAB) types, the detail view can show the archive's own genre classifications (genre, song category and function) for the poems in that type. Only ERAB poems carry this metadata, so the section does not appear for Finnish-only types.

Keyboard Shortcuts

/ — Focus search box
j or ↓ — Select next item in list
k or ↑ — Select previous item in list
Enter — Open selected item
r — Pick random type from filtered list
s — Share URL (copy to clipboard)
x — Export CSV
? — Toggle this help panel
Escape — Clear search / close help

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Themes:
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Song-type families and groups in the cluster map

Explore Finnic runosong types: incantations, lullabies, epics, and more. Geographic maps, temporal charts, co-occurrence analysis.

FamilySong types
Questions and laments1,852
Death, mother and orphan laments1,490
Farm animals and herding songs1,471
Bad people and mockery songs1,398
Songs about singing and the singer1,370
War, sea and origin spells1,314
Beautiful maiden and courtship1,162
Forest, fishing and hunting1,087
Lads and lasses, courtship banter1,074
Courtship and horses902
Work, servants and servitude830
Orphans, lullabies and rich-poor795
Bird and cuckoo songs790
Manor, fieldwork and riddles758
Advice, praise and household life715
Charms and origin words664
Wedding songs and bride's laments658
Our village and others629
Dancing, roads and the arriving suitor629
Night, moon, holidays and games496
Servants leaving, being sold away467
Lullabies and play rhymes460
Sorrow, weeping and tears443
Swing songs and the seasons384
Love and longing328
Playful name ditties3
Mocking the neighbouring parish2
Tying on the apron2
Burning the old grass2
GroupSong types
Counting songs50
What and why question songs42
Why did you not come last year33
If only there were a proper man33
Created by God30
Long awaited and lingering28
Songs opening with 'if/when'28
Blessing for the road and orphan's plea26
Being together23
I won't come to you23
Place and setting things right22
Charms and provoking spells20
"Who has it?" songs20
What was said of me20
Bad things and poor gifts20
The unknown future and fate20
When will the dear ones meet19
Greeting the earth and earth-spirit19
The forge game and sleigh-riding18
Mixed group (riddles and questions)17
The manor and going courting17
Come here (a call and courting)16
Think of me (waiting to be wanted)16
Me and the others16
No wedding clothes16
Strangers and guests arriving16
The story as it was made16
How did you know to come?15
How good it is to live in Viru15
Our men15
The mouth says what the spittle brings15
Slaying the ox and the encounter14
Hiding and the hiding game14
Old-time life and trading trips14
One-two counting verses14
No kin among the strangers14
The spouse is still growing up13
Three bad things in the world13
Songs about money13
The tale ran on (as it was made)13
Songs about time and the right hour12
Which of the two is fairer12
Sitting song12
The slighted suitor12
The maiden refuses a suitor12
At the well12
What is done at the manor12
If only this man were mine11
'If I were' wish-songs11
Life was good before11
Wonderland (the singer's youth)10
Mockery of mother-in-law and groom10
Second time and what I shall give10
Off to pick berries! Where were you when I looked?9
Songs of making things9
A man to stand against; the fight9
Revenge on the slanderer9
Created by the Creator9
The Russian9
The new daughter-in-law brought home9
Number and salve charms8
The abandoned maiden8
Why am I not taken as a wife8
Song of the far-off place8
The sieve game (borrowing the sieve)8
Greeting those who arrive8
Life in olden times8
Misfortunes and losses8
The spouse comes from afar8
Friends only while the beer lasts8
I did not come empty-handed8
Left poor and orphaned early8
Why look askance8
Before and now8
Sitting on top8
Come to me8
Measuring the man8
Raising the dead from the churchyard7
To a beggar instead of a gentleman7
Mixed group: wedding, charms, goat7
Death on skis and regret7
Guess on whose finger7

This is a static summary — the full, searchable dataset is in the interactive explorer above.