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Toward More Meaningful Resources for Lower-resourced Languages

Domain:

natural language processing

Record type:

paperdataset
Creator:
LigHolPalSäl
Host:avatar
In this position paper, we describe our perspective on how meaningful resources for lower-resourced languages should be developed in connection with the speakers of those languages. We first examine two massively multilingual resources in detail. We explore the contents of the names stored in Wikidata for a few lower-resourced languages and find that many of them are not in fact in the languages they claim to be and require non-trivial effort to correct. We discuss quality issues present in WikiAnn and evaluate whether it is a useful supplement to hand annotated data. We then discuss the importance of creating annotation for lower-resourced languages in a thoughtful and ethical way that includes the languages' speakers as part of the development process. We conclude with recommended guidelines for resource development. Submitted to the ACL 2022 theme track "Language Diversity: from Low-Resource to Endangered Languages" and accepted to Findings of the ACL for ACL 2022

Visit

arxiv.org

Tags

Computation and LanguageArtificial Intelligence

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