OntoLex Publication Made Easy : A Dataset of Verbal Aspectual Pairs for Bosnian, Croatian and Serbian
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| Název: | OntoLex Publication Made Easy : A Dataset of Verbal Aspectual Pairs for Bosnian, Croatian and Serbian |
|---|---|
| Autoři: | Ninčević, Lorena |
| Zdroj: | Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024. :108-114 |
| Informace o vydavateli: | 2024. |
| Rok vydání: | 2024 |
| Témata: | verbal aspect, BCS, Linguistic Linked Open Data |
| Popis: | This paper introduces a novel language resource for retrieving and researching verbal aspectual pairs in BCS (Bosnian, Croatian, and Serbian) created using Linguistic Linked Open Data (LLOD) principles. As there is no resource to help learners of Bosnian, Croatian, and Serbian as foreign languages to recognize the aspect of a verb or its pairs, we have created a new resource that will provide users with information about the aspect, as well as the link to a verb’s aspectual counterparts. This resource also contains external links to monolingual dictionaries, Wordnet, and BabelNet. As this is a work in progress, our resource only includes verbs and their perfective pairs formed with prefixes “pro”, “od”, “ot”, “iz”, “is” and “na”. The goal of this project is to have a complete dataset of all the aspectual pairs in these three languages. We believe it will be useful for research in the field of aspectology, as well as machine translation and other NLP tasks. Using this resource as an example, we also propose a sustainable approach to publishing small to moderate LLOD resources on the Web, both in a user-friendly way and according to the Linked Data principles. |
| Druh dokumentu: | Conference object |
| ISSN: | 2951-2093 |
| Přístupová URL adresa: | https://aclanthology.org/2024.ldl-1.14.pdf |
| Přístupové číslo: | edsair.dris...01492..5b20d26aec2bcb4b21a6fa9c0af2a537 |
| Databáze: | OpenAIRE |
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| Header | DbId: edsair DbLabel: OpenAIRE An: edsair.dris...01492..5b20d26aec2bcb4b21a6fa9c0af2a537 RelevancyScore: 979 AccessLevel: 3 PubType: Conference PubTypeId: conference PreciseRelevancyScore: 979.415405273438 |
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| Items | – Name: Title Label: Title Group: Ti Data: OntoLex Publication Made Easy : A Dataset of Verbal Aspectual Pairs for Bosnian, Croatian and Serbian – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ninčević%2C+Lorena%22">Ninčević, Lorena</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024</i>. :108-114 – Name: Publisher Label: Publisher Information Group: PubInfo Data: 2024. – Name: DatePubCY Label: Publication Year Group: Date Data: 2024 – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22verbal+aspect%22">verbal aspect</searchLink><br /><searchLink fieldCode="DE" term="%22BCS%22">BCS</searchLink><br /><searchLink fieldCode="DE" term="%22Linguistic+Linked+Open+Data%22">Linguistic Linked Open Data</searchLink> – Name: Abstract Label: Description Group: Ab Data: This paper introduces a novel language resource for retrieving and researching verbal aspectual pairs in BCS (Bosnian, Croatian, and Serbian) created using Linguistic Linked Open Data (LLOD) principles. As there is no resource to help learners of Bosnian, Croatian, and Serbian as foreign languages to recognize the aspect of a verb or its pairs, we have created a new resource that will provide users with information about the aspect, as well as the link to a verb’s aspectual counterparts. This resource also contains external links to monolingual dictionaries, Wordnet, and BabelNet. As this is a work in progress, our resource only includes verbs and their perfective pairs formed with prefixes “pro”, “od”, “ot”, “iz”, “is” and “na”. The goal of this project is to have a complete dataset of all the aspectual pairs in these three languages. We believe it will be useful for research in the field of aspectology, as well as machine translation and other NLP tasks. Using this resource as an example, we also propose a sustainable approach to publishing small to moderate LLOD resources on the Web, both in a user-friendly way and according to the Linked Data principles. – Name: TypeDocument Label: Document Type Group: TypDoc Data: Conference object – Name: ISSN Label: ISSN Group: ISSN Data: 2951-2093 – Name: URL Label: Access URL Group: URL Data: <link linkTarget="URL" linkTerm="https://aclanthology.org/2024.ldl-1.14.pdf" linkWindow="_blank">https://aclanthology.org/2024.ldl-1.14.pdf</link> – Name: AN Label: Accession Number Group: ID Data: edsair.dris...01492..5b20d26aec2bcb4b21a6fa9c0af2a537 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: Undetermined PhysicalDescription: Pagination: PageCount: 7 StartPage: 108 Subjects: – SubjectFull: verbal aspect Type: general – SubjectFull: BCS Type: general – SubjectFull: Linguistic Linked Open Data Type: general Titles: – TitleFull: OntoLex Publication Made Easy : A Dataset of Verbal Aspectual Pairs for Bosnian, Croatian and Serbian Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ninčević, Lorena IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 29512093 – Type: issn-locals Value: edsair – Type: issn-locals Value: edsairFT Titles: – TitleFull: Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024 Type: main |
| ResultId | 1 |
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