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Conference Papers Year : 2022

Cross-Lingual Link Discovery for Under-Resourced Languages

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 first 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 define under-resourced languages with a specific 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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Dates and versions

hal-03695203 , version 1 (14-06-2022)

Identifiers

  • HAL Id : hal-03695203 , version 1

Cite

Michael Rosner, Sina Ahmadi, Elena-Simona Apostol, Julia Bosque-Gil, Christian Chiarcos, et al.. Cross-Lingual Link Discovery for Under-Resourced Languages. 13th Edition of its Language Resources and Evaluation Conference (LREC 2022), Jun 2022, Marseille, France. pp.181-192. ⟨hal-03695203⟩
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