BibTeX

@misc{borin-2025-corpus-349215,
	title        = {Corpus and Computational Linguistic Approaches to Germanic Languages},
	abstract     = {Corpus linguistics and computational linguistics are two language-related fields of study with somewhat different aims that nevertheless show great methodological overlap and interplay. In corpus linguistics, the empirical study of collections of naturally occurring text—corpora—is the core instrument for doing linguistics. Its goal is to further our understanding of language, just as in other branches of linguistics. Computational linguistics engages itself with the computational processing of language data, where sometimes the aim is to learn more about language per se and/or the languages studied, and sometimes the aim is to learn more about the effectiveness of the technological solutions used for this processing. Present-day computational linguistics is almost exclusively data-driven in nature, which means that in practice, corpora play a central role here, too, as sources for the machine learning
algorithms that underlie the computational linguistic techniques. Moreover, as the computational tools developed in computational linguistics improve and the reliance on larger materials in corpus linguistics increases, the tools developed in the former play an increasingly important role in supporting the latter.
There is not much genuine computational or corpus-based comparative or contrastive work specifically involving Germanic languages as Germanic languages, focused on comparison within the group of Germanic languages or comparison of the whole group with other language groups. However, there is a wealth of work presenting single-language studies and, especially, data sets and resources that can support corpus-based research on Germanic languages, both of the computational linguistic kind and of corpus linguistic nature.},
	author       = {Borin, Lars},
	year         = {2025},
	publisher    = {Oxford University Press},
	address      = {Oxford},
	ISBN         = {9780199384655},
}