@inproceedings{stankovic-etal-2024-ontolex,
title = "{O}nto{L}ex Publication Made Easy: A Dataset of Verbal Aspectual Pairs for {B}osnian, {C}roatian and {S}erbian",
author = "Stankovi{\'c}, Ranka and
Ionov, Maxim and
Bajtarevi{\'c}, Medina and
Nin{\v{c}}evi{\'c}, Lorena",
editor = "Chiarcos, Christian and
Gkirtzou, Katerina and
Ionov, Maxim and
Khan, Fahad and
McCrae, John P. and
Ponsoda, Elena Montiel and
Chozas, Patricia Mart{\'\i}n",
booktitle = "Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.ldl-1.14",
pages = "108--114",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T OntoLex Publication Made Easy: A Dataset of Verbal Aspectual Pairs for Bosnian, Croatian and Serbian
%A Stanković, Ranka
%A Ionov, Maxim
%A Bajtarević, Medina
%A Ninčević, Lorena
%Y Chiarcos, Christian
%Y Gkirtzou, Katerina
%Y Ionov, Maxim
%Y Khan, Fahad
%Y McCrae, John P.
%Y Ponsoda, Elena Montiel
%Y Chozas, Patricia Martín
%S Proceedings of the 9th Workshop on Linked Data in Linguistics @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F stankovic-etal-2024-ontolex
%X 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.
%U https://aclanthology.org/2024.ldl-1.14
%P 108-114
Markdown (Informal)
[OntoLex Publication Made Easy: A Dataset of Verbal Aspectual Pairs for Bosnian, Croatian and Serbian](https://aclanthology.org/2024.ldl-1.14) (Stanković et al., LDL-WS 2024)
ACL