Linguistic and Semantic Representation of the Thompson’s Motif-Index of Folk-Literature

  • Thierry Declerck
  • Piroska Lendvai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6966)

Abstract

We present on-going work on the linguistic and semantic processing of the labels of the Thompson’s Motif-Index of Folk-Literature, which has been proposed by Stith Thompson for the classification of narrative elements in folk-literature. We automatically extracted the labels of an on-line version of the Index, and wrote specialised grammars for providing for a multi-layer linguistic annotation of them. We are currently working on enriching the linguistically annotated labels with semantic classes and relations, allowing for a better access to the content of the Index. With this resource, we expect to be able to semi-automatically annotate digitised literary works at the sub-document level by means of automatically comparing the annotated Index with the results of text processing tools applied to those works, and so contribute to a better inter-textual interlinking and understanding of related works in the folk-literature, offering a new way of semantically accessing digital libraries.

Keywords

Cultural Heritage Digital Library Word Form Semantic Annotation Language Technology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Thierry Declerck
    • 1
    • 2
  • Piroska Lendvai
    • 3
  1. 1.Austrian Academy of Sciences, ICLTTWienAustria
  2. 2.DFKI GmbH, Language Technology LabSaarbrückenGermany
  3. 3.Research Institute for LinguisticsHungarian Academy of SciencesBudapestHungary

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