  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. We share a companion website of this overview at
https://github.com/mainlp/germanic-lrl-corpora .
