Abstract
In this paper, we present a method for automatic generation of a digital resource, which connects all indirect synonyms of a dialect term to all indirect synonyms of a corresponding term in the standard language, aiming to improve the search of a digital dialect dictionary. The method uses SWRL rules defined in the Serbian WordNet ontology to identify sets of synonymous words. It also uses e-dictionaries to produce correct lemmas in standard language that users usually employ in searches. The method was applied and evaluated on verbs and a group of nouns derived from verbs (verbal nouns). We compared the results obtained by the system to those produced by humans and achieved the accuracy of 89.7%.
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Notes
- 1.
On-line at http://www.vranje.co.rs.
- 2.
Lemmatization was done using Unitex, the corpus processing system (http://unitexgramlab.org/).
- 3.
We used the following software tools in this paper: Developing tool Eclipse Java EE IDE Luna and Apache Jena open source software development environment which allows for reasoning at the level of OWL 2 language by converting SWRL rules into the Jena rules format.
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Mladenović, M., Stanković, R., Krstev, C. (2017). A WordNet Ontology in Improving Searches of Digital Dialect Dictionary. In: Kirikova, M., et al. New Trends in Databases and Information Systems. ADBIS 2017. Communications in Computer and Information Science, vol 767. Springer, Cham. https://doi.org/10.1007/978-3-319-67162-8_37
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