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Communication Dans Un Congrès Année : 2023

Leveraging DBnary Data to Enrich Information of Multiword Expressions in Wiktionary

Résumé

We describe first an approach consisting of computing pronunciation information for multiword expressions (MWEs) included in the English edition of Wiktionary. During this work, we learnt about the DBnary resource, which represents information extracted from 23 language editions of Wiktionary in a Linked Open Data (LOD) compliant way. This lead to updates of the DBnary programs, to support the extraction of the desired pronunciation information for MWEs and which we document in this paper. The use by DBnary of LOD compliant models and vocabularies, more specifically of the OntoLex-Lemon model, opens the possibility for additional lexicographic enrichment of the MWEs, like adding morphosyntactic and semantic information to their components. DBnary is thus now more than "just" an extractor and mapper of Wiktionary data in a LOD representation, but is also contributing to the lexicographic enrichment of Wiktionary pages dealing with MWEs. In the longer term, our work will allow for more data on English MWEs to be made available in the Linguistic Linked Data cloud.
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Dates et versions

hal-04192352 , version 1 (31-08-2023)

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  • HAL Id : hal-04192352 , version 1

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Gilles Serasset, Thierry Declerck, Lenka Bajčetić. Leveraging DBnary Data to Enrich Information of Multiword Expressions in Wiktionary. LDK 2023 – 4th Conference on Language, Data and Knowledge, Sara Carvallo, Anas Fahad Khan, Sep 2023, Vienna, Austria. ⟨hal-04192352⟩
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