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A Survey of Corpora for Germanic Low-Resource Languages and Dialects

MCML Authors

Link to Profile Hinrich Schütze PI Matchmaking

Hinrich Schütze

Prof. Dr.

Principal Investigator

Computational Linguistics

Link to Profile Barbara Plank PI Matchmaking

Barbara Plank

Prof. Dr.

Principal Investigator

AI and Computational Linguistics

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.

inproceedings

NoDaLiDa 2023

24th Nordic Conference on Computational Linguistics. Tórshavn, Faroe Islands, May 22-24, 2023.

Authors

V. Blaschke • H. Schütze • B. Plank

Links

URL

Research Area

 B2 | Natural Language Processing

BibTeXKey: BSP23b

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