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

Identifieur interne : 000A09 ( Istex/Corpus ); précédent : 000A08; suivant : 000A10

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

Auteurs : Thierry Declerck ; Piroska Lendvai

Source :

RBID : ISTEX:5EECDD135F55B38849C1E086B8BF93D144BED044

English descriptors

Abstract

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.

Url:
DOI: 10.1007/978-3-642-24469-8_17

Links to Exploration step

ISTEX:5EECDD135F55B38849C1E086B8BF93D144BED044

Le document en format XML

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<Para>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.</Para>
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