Gigafida 2.1 is a reference corpus of written Slovene texts published in the period 1990-2018. It is comprised of daily news, magazines, a selection of web texts (a certain portion of which covers news texts as well), and different types of publications (fiction, school books, and non-fiction). The texts have been selected and automatically processed with the aim of creating a corpus that represents a sample of modern standard Slovene and can be used for research in linguistics and other branches of the humanities, for compiling modern dictionaries, grammars, and learning materials, as well as for developing language technologies for Slovene.

Version 2.1 contains the same texts as version 2.0, but includes four additional annotation layers: (1) syntactic dependency annotations based on the Universal Dependencies system (https://universaldependencies.org/); (2) syntactic dependency annotations based on the JOS system; (3) semantic role labelling annotations; (4) named entity annotations. Semantic role labels were assigned with "bilateral-srl" (https://github.com/clarinsi/bilateral-srl), named entities with "The CLASSLA-StanfordNLP model for named entity recognition of standard Slovenian 1.0" (http://hdl.handle.net/11356/1321"), and syntactic dependency annotations (both UD and JOS) with "Parser-V3" - a predecessor of Stanza (https://pypi.org/project/stanza) and CLASSLA (https://pypi.org/project/classla).

References: Simon Krek, Špela Arhar Holdt, Tomaž Erjavec, Jaka Čibej, Andraz Repar, Polona Gantar, Nikola Ljubešić, Iztok Kosem and Kaja Dobrovoljc. Gigafida 2.0: The Reference Corpus of Written Standard Slovene. Proceedings of The 12th Language Resources and Evaluation Conference. Marseille, May 2020. https://www.aclweb.org/anthology/2020.lrec-1.409/

LOGAR BERGINC, Nataša, GRČAR, Miha, BRAKUS, Marko, ERJAVEC, Tomaž, ARHAR HOLDT, Špela and KREK, Simon. Korpusi slovenskega jezika Gigafida, KRES, ccGigafida in ccKRES: gradnja, vsebina, uporaba. Ljubljana: Trojina, zavod za uporabno slovenistiko; Fakulteta za družbene vede, 2012. https://doi.org/10.4312/9789610603542