@inproceedings{rosner-etal-2022-cross,
title = "Cross-Lingual Link Discovery for Under-Resourced Languages",
author = "Rosner, Michael and
Ahmadi, Sina and
Apostol, Elena-Simona and
Bosque-Gil, Julia and
Chiarcos, Christian and
Dojchinovski, Milan and
Gkirtzou, Katerina and
Gracia, Jorge and
Gromann, Dagmar and
Liebeskind, Chaya and
Val{\=u}nait{\.e} Ole{\v{s}}kevi{\v{c}}ien{\.e}, Giedr{\.e} and
S{\'e}rasset, Gilles and
Truic{\u{a}}, Ciprian-Octavian",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.20",
pages = "181--192",
abstract = "In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages. We rst introduce the goals of cross-lingual linking and associated technologies, and in particular, the role that the Linked Data paradigm (Bizer et al., 2011) applied to language data can play in this context. We de ne under-resourced languages with a speci c focus on languages actively used on the internet, i.e., languages with a digitally versatile speaker community, but limited support in terms of language technology. We argue that languages for which considerable amounts of textual data and (at least) a bilingual word list are available, techniques for cross-lingual linking can be readily applied, and that these enable the implementation of downstream applications for under-resourced languages via the localisation and adaptation of existing technologies and resources.",
}
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<abstract>In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages. We rst introduce the goals of cross-lingual linking and associated technologies, and in particular, the role that the Linked Data paradigm (Bizer et al., 2011) applied to language data can play in this context. We de ne under-resourced languages with a speci c focus on languages actively used on the internet, i.e., languages with a digitally versatile speaker community, but limited support in terms of language technology. We argue that languages for which considerable amounts of textual data and (at least) a bilingual word list are available, techniques for cross-lingual linking can be readily applied, and that these enable the implementation of downstream applications for under-resourced languages via the localisation and adaptation of existing technologies and resources.</abstract>
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%0 Conference Proceedings
%T Cross-Lingual Link Discovery for Under-Resourced Languages
%A Rosner, Michael
%A Ahmadi, Sina
%A Apostol, Elena-Simona
%A Bosque-Gil, Julia
%A Chiarcos, Christian
%A Dojchinovski, Milan
%A Gkirtzou, Katerina
%A Gracia, Jorge
%A Gromann, Dagmar
%A Liebeskind, Chaya
%A Valūnaitė Oleškevičienė, Giedrė
%A Sérasset, Gilles
%A Truică, Ciprian-Octavian
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F rosner-etal-2022-cross
%X In this paper, we provide an overview of current technologies for cross-lingual link discovery, and we discuss challenges, experiences and prospects of their application to under-resourced languages. We rst introduce the goals of cross-lingual linking and associated technologies, and in particular, the role that the Linked Data paradigm (Bizer et al., 2011) applied to language data can play in this context. We de ne under-resourced languages with a speci c focus on languages actively used on the internet, i.e., languages with a digitally versatile speaker community, but limited support in terms of language technology. We argue that languages for which considerable amounts of textual data and (at least) a bilingual word list are available, techniques for cross-lingual linking can be readily applied, and that these enable the implementation of downstream applications for under-resourced languages via the localisation and adaptation of existing technologies and resources.
%U https://aclanthology.org/2022.lrec-1.20
%P 181-192
Markdown (Informal)
[Cross-Lingual Link Discovery for Under-Resourced Languages](https://aclanthology.org/2022.lrec-1.20) (Rosner et al., LREC 2022)
ACL
- Michael Rosner, Sina Ahmadi, Elena-Simona Apostol, Julia Bosque-Gil, Christian Chiarcos, Milan Dojchinovski, Katerina Gkirtzou, Jorge Gracia, Dagmar Gromann, Chaya Liebeskind, Giedrė Valūnaitė Oleškevičienė, Gilles Sérasset, and Ciprian-Octavian Truică. 2022. Cross-Lingual Link Discovery for Under-Resourced Languages. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 181–192, Marseille, France. European Language Resources Association.