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APiCS-Ligt: Towards Semantic Enrichment of Interlinear Glossed Text

Domaine:

natural language processing

Type de record:

dataset
Créateur:
Ion
Éditeur:
GroSérDecMcC
Éditeur:
Sch
Hôte:avatar
This paper presents APiCS-Ligt, an LLOD version of a collection of interlinear glossed linguistic examples from APiCS, the Atlas of Pidgin and Creole Language Structures. Interlinear glossed text (IGT) plays an important role in typological and theoretical linguistic research, especially with understudied and endangered languages: It provides a way to understand linguistic phenomena without necessarily knowing the source language which is crucial for these languages since native speakers are not always easily accessible. Previously, we presented Ligt, RDF vocabulary created for representing interlinear glosses in text segments. In this paper, we present our conversion of the APiCS IGT dataset into this model and describe our efforts in linking linguistic annotations to an external ontology to add semantic representation. OASIcs, Vol. 93, 3rd Conference on Language, Data and Knowledge (LDK 2021), pages 27:1-27:8

Visit

doi.orgdrops.dagstuhl.de

Tags

Linguistic Linked Open Data (LLOD)less-resourced languages in the (multilingual) Semantic Webinterlinear glossed text (IGT)data modelingInformation systems → Graph-based database modelsComputing methodologies → Language resourcesComputing methodologies → Knowledge representation and reasoning

Licenses

Creative Commons Attribution 4.0 International licensehttps://creativecommons.org/licenses/by/4.0/legalcodeinfo:eu-repo/semantics/openAccess