https://researchdata.se/en/catalogue Search results en Stunda is a network for Sweden's technical universities aimed at promoting efficient technical communication in Swedish within higher education, primarily by working with discipline-specific terminology. Read more here. Wed, 02 Sep 2026 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-z9r6-5451 https://researchdata.se/en/catalogue/dataset/doi-10-23695-z9r6-5451 University of Gothenburg This is a small corpus of 10 pairs of texts in Swedish and English annotated with personal information categories. The annotation largely follows that of the TAB corpus (https://aclanthology.org/2022.cl-4.19/). The twenty texts in total were sourced from the Parallel Global Voices corpus (https://nlp.ilsp.gr/pgv/, CC BY 4.0) and manually annotated. That corpus, in turn, had collected the texts from the Global Voices websites (https://globalvoices.org/, CC BY 3.0). Tue, 07 Oct 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-qcqg-3613 https://researchdata.se/en/catalogue/dataset/doi-10-23695-qcqg-3613 University of Gothenburg Szawerna, Maria Irena Suchardt, Jacob Lee Dataset description MultiGEC is a dataset for Multilingual Grammatical Error Correction in 12 European languages (Czech, English, Estonian, German, Greek, Icelandic, Italian, Latvian, Russian, Slovene, Swedish and Ukrainian) compiled by the CompSLA working group and over 20 external data providers in the context of MultiGEC-2025, the first text-level GEC shared task. The MultiGEC dataset is divided into 17 subcorpora covering different languages, domains and correction styles, summarized below. More detailed information about each subcorpus is available as machine-readable metadata, whose format is described . Wed, 01 Jan 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-h9f5-8143 https://researchdata.se/en/catalogue/dataset/doi-10-23695-h9f5-8143 University of Gothenburg Masciolini, Arianna Caines, Andrew De Clercq, Orphée Kruijsbergen, Joni Kurfali, Murathan Muñoz Sánchez, Ricardo Volodina, Elena Östling, Robert Allkivi-Metsoja, Kais Arhar Holdt, Špela Auzina, Ilze Darģis, Roberts Drakonaki, Elena Frey, Jennifer-Carmen Glišić, Isidora Kikilintza, Pinelopi Nicolas, Lionel Romanyshyn, Mariana Rosen, Alexandr Rozovskaya, Alla Suluste, Kristjan Syvokon, Oleksiy Tantos, Alexandros Touriki, Despoina-Ourania Tsiotskas, Konstantinos Tsourilla, Eleni Varsamopoulos, Vassilis Wisniewski, Katrin Žagar, Aleš Zesch, Torsten NordiCon is a database that collects medieval North Germanic personal names in sources outside Scandinavia. It combines formally interpreted and richly interlinked onomastic data with digitized versions of the medieval manuscripts from which the data originate and information on the name tokens’ context. Wed, 01 Jan 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-nbc7-vg04 https://researchdata.se/en/catalogue/dataset/doi-10-23695-nbc7-vg04 University of Gothenburg English-Swedish Parallel Corpus (ESPC) was compiled in 1990's in a joint project at the University of Gothenburg and University of Lund. The first version of this corpus was released for research in early 2000 and it consist of approximately 2.8 million words including both original and translated texts. The corpus have two main parts, fiction and non-fiction, which are further divided into a number of text types or categories. All texts are written texts published between 1980 and 2000, and the great majority are extracts of complete texts. For access please contact Anna-Lena Fredriksson. Wed, 01 Jan 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-pmpb-ry83 https://researchdata.se/en/catalogue/dataset/doi-10-23695-pmpb-ry83 University of Gothenburg Dataset description MultiGED is a dataset for Multilingual Grammatical Error Detection in 5 European languages (Czech, English, German, Italian and Swedish) compiled by the CompSLA working group in the context of MultiGED-2023, the first multilinual GED shared task. The data comes from learner essays, but the sequence of sentences within essays is not kept. Instead, this is a set of randomized sentences to prevent re-construction of original essays. Data is provided in a tab-separated format consisting of two columns, where the first column contains the token and the second column contains the label (c or i), i.e. correct and incorrect. Note that there are no column headers, each sentence is separated by an empty line, and double quotes are escaped. See more on data format . Wed, 01 Jan 2025 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-xe7r-k506 https://researchdata.se/en/catalogue/dataset/doi-10-23695-xe7r-k506 University of Gothenburg Volodina, Elena Bryant, Chris Caines, Andrew De Clercq, Orphée Frey, Jennifer-Carmen Ershova, Elizaveta Rosen, Alexandr Vinogradova, Olga Part of The Amsterdam Slavic Parallel Aligned Corpus Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-ch58-bb77 https://researchdata.se/en/catalogue/dataset/doi-10-23695-ch58-bb77 University of Gothenburg Part of The Amsterdam Slavic Parallel Aligned Corpus Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-dxab-fj22 https://researchdata.se/en/catalogue/dataset/doi-10-23695-dxab-fj22 University of Gothenburg Part of The Amsterdam Slavic Parallel Aligned Corpus Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-edp8-gm87 https://researchdata.se/en/catalogue/dataset/doi-10-23695-edp8-gm87 University of Gothenburg The EDGeS Diachronic Bible Corpus is a diachronically and synchronically parallel corpus of Bible translations in Dutch, English, German and Swedish, with texts from the 14th century until today. The wish list underlying the final compilation of 36 Bibles was: they should be a) first editions of complete Bible translations, and not modernizations; and b) translations in a narrow sense (not: harmonies, paraphrases, rhyming Bibles, etc.) into a language variety that was current at the time of publication. Furthermore they c) must have made a historical impact, typically through wide dissemination; and d) their text must be available electronically, with a traceable link to the original. The documentation included in the archive and the related publication give information about the extent these ideals were met for the final selection. For all Bibles, we include at least the New Testament, and for most we also have the Old Testament. A smaller number of Bibles have Apocryphal books. The parallel Bible texts were split into book-chapter-verse segments, and automatically aligned at verse level, using the contemporary Dutch Nieuwe Bijbelvertaling as a pivot. We also have compiled meta-information for each of the Bibles. OpenEDGeS is the open subpart of EDGeS, distributed under a public license, made up of 31 historical Bibles. Mon, 01 Jan 2024 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/doi-10-23695-fhat-dd64 https://researchdata.se/en/catalogue/dataset/doi-10-23695-fhat-dd64 University of Gothenburg Bouma, Gerlof Coussé, Evie Dijkstra, Trude van der Sijs, Nicoline