We present the digital environment developed within the FILTER consortium–a collaboration
of computational scientists and folklorists from Finland and Estonia studying the Finnic oral …

The digitization of large archival collections of oral folk poetry in Finland and Estonia has
opened possibilities for large-scale quantitative studies of intertextuality. As an initial …

This paper describes ongoing work to quantitatively analyse the development of the Finnish
national epic Kalevala. The analysis targets both the oral poetry sources used and the …

Algorithmic sequence alignment identifies similar segments shared between pairs of
documents, and is fundamental to many NLP tasks. But it is difficult to recognize similarities …

We present an optimized implementation of the weighted sequence alignment algorithm
(aka weighted edit distance) in a scenario where the items to align are numeric vectors and …

Historical Finnic oral poetry–called runolaulu, regilaul, or Kalevalaic poetry–makes a
versatile corpus across several related languages, representing numerous genres from epic …

Historiallisista, Suomen ja Viron kansallisvaltioiden syntyyn liittyvistä syistä johtuen
itämerensuomalaista runolaulua eli niin kutsuttua kalevalamittaista kansanrunoutta (viroksi …

The article introduces the joint Finnic runosong database and associated web environments
and applications developed collaboratively by computer scientists and folklorists from …

The first great period of Hungarian literature is the 16th century. From earlier times only a
very limited number of texts, and even less poems, have been conserved: a real literary …

While digital corpora have enabled new perspectives into the variation and continuums of
human communication, they often pose problems related to implicit biases of the data and …