Exploring Finnic written oral folk poetry through string similarity.

Suomen Kansan Vanhat Runot (Old Poems of the Finnish People) is a collection of nearly 90,000 oral folk poems written down between 1564 and the early 20th century. It is characterized by frequent reoccurrence of similar pieces of text on various levels (from entire poems, through passages to single...

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Publicado en:Digital Scholarship in the Humanities Vol. 38; no. 1; pp. 180 - 195
Autores principales: Janicki, Maciej, Kallio, Kati, Sarv, Mari
Formato: Artículo
Publicado: Oxford University Press / USA Apr2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Exploring Finnic written oral folk poetry through string similarity.
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          Janicki, Maciej
          Kallio, Kati
          Sarv, Mari
        affil:
          Department of Digital Humanities, University of Helsinki , Finland
          Finnish Literature Society , Finland
          Estonian Literary Museum , Estonia
      su:
        Semantics
        Web browsing
        Poetry (Literary form)
        Poetry writing
        Twentieth century
      sug:
        subj:
          Semantics
          Web browsing
          Poetry (Literary form)
          Poetry writing
          Twentieth century
      ab: Suomen Kansan Vanhat Runot (Old Poems of the Finnish People) is a collection of nearly 90,000 oral folk poems written down between 1564 and the early 20th century. It is characterized by frequent reoccurrence of similar pieces of text on various levels (from entire poems, through passages to single verses and collocations). However, finding these similarities is challenging due to a high degree of orthographical, morphological, and compositional variation. In this article, we propose a method for automatically identifying equivalent verses , i.e. verses conveying the same meaning with the same words, using a clustering based on cosine similarity of character bigram vectors. The method achieves around 81% F-score and has been successfully used for identifying similarities across the entire SKVR corpus on the level of verse, passage, and poem. The results can be browsed through a Web interface.
      pubtype: Academic Journal
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    language: English
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