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    <abstract>Despite much progress in recent years, the vast majority of work in natural language processing (NLP) is on standard languages with many speakers. In this work, we instead focus on low-resource languages and in particular non-standardized low-resource languages. Even within branches of major language families, often considered well-researched, little is known about the extent and type of available resources and what the major NLP challenges are for these language varieties. The first step to address this situation is a systematic survey of available corpora (most importantly, annotated corpora, which are particularly valuable for NLP research). Focusing on Germanic low-resource language varieties, we provide such a survey in this paper. Except for geolocation (origin of speaker or document), we find that manually annotated linguistic resources are sparse and, if they exist, mostly cover morphosyntax. Despite this lack of resources, we observe that interest in this area is increasing: there is active development and a growing research community. To facilitate research, we make our overview of over 80 corpora publicly available.</abstract>
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%0 Conference Proceedings
%T A Survey of Corpora for Germanic Low-Resource Languages and Dialects
%A Blaschke, Verena
%A Schuetze, Hinrich
%A Plank, Barbara
%Y Alumäe, Tanel
%Y Fishel, Mark
%S Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
%D 2023
%8 May
%I University of Tartu Library
%C Tórshavn, Faroe Islands
%F blaschke-etal-2023-survey
%X Despite much progress in recent years, the vast majority of work in natural language processing (NLP) is on standard languages with many speakers. In this work, we instead focus on low-resource languages and in particular non-standardized low-resource languages. Even within branches of major language families, often considered well-researched, little is known about the extent and type of available resources and what the major NLP challenges are for these language varieties. The first step to address this situation is a systematic survey of available corpora (most importantly, annotated corpora, which are particularly valuable for NLP research). Focusing on Germanic low-resource language varieties, we provide such a survey in this paper. Except for geolocation (origin of speaker or document), we find that manually annotated linguistic resources are sparse and, if they exist, mostly cover morphosyntax. Despite this lack of resources, we observe that interest in this area is increasing: there is active development and a growing research community. To facilitate research, we make our overview of over 80 corpora publicly available.
%U https://aclanthology.org/2023.nodalida-1.41
%P 392-414

Markdown (Informal)

[A Survey of Corpora for Germanic Low-Resource Languages and Dialects](https://aclanthology.org/2023.nodalida-1.41) (Blaschke et al., NoDaLiDa 2023)

• A Survey of Corpora for Germanic Low-Resource Languages and Dialects (Blaschke et al., NoDaLiDa 2023)

ACL

• Verena Blaschke, Hinrich Schuetze, and Barbara Plank. 2023. A Survey of Corpora for Germanic Low-Resource Languages and Dialects. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 392–414, Tórshavn, Faroe Islands. University of Tartu Library.