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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...10 Hits 1 – 20 of 191 1 Abstracts from the KAS corpus KAS-Abs 2.0 Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022 BASE Show details 2 The CLASSLA-StanfordNLP model for lemmatisation of standard Slovenian 1.4 Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2022 BASE Show details 3 Corpus of academic Slovene KAS 2.0 Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko; Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola; Ferme, Marko; Borovič, Mladen; Boškovič, Borko; Ojsteršek, Milan; Hrovat, Goran. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022 Abstract: The KAS corpus of Slovene academic writing consists of almost 65,000 BSc/BA, 16,000 MSc/MA and 1,600 PhD theses (82 thousand texts, 5 million pages or 1,5 billion tokens) written 2000 - 2018 and gathered from the digital libraries of Slovene higher education institutions via the Slovene Open Science portal (http://openscience.si/). The theses have associated with them significant metadata, while each thesis in the corpus contains its textual body, i.e. without their front and back matter. The body is divided into chapters, then into pages, these into paragraphs, and then into sentences. The sentence tokens are tagged with morphosyntactically descriptions (detailed part-of-speech tags) and the words lemmatised. As opposed to the previous version 1.0, the KAS corpus of Slovene academic writing 2.0 is cleaner and contains segmentations into chapters. The metadata also contains more information about research fields of each work. Both versions consist of the same number of BSc/BA, MSc/MA, and PhD theses, however, the processing was done from scratch for 2.0, so the number of e.g. pages and tokens is different. Note also that the new version does not contain links to the PNG pictures of individual pages , nor does it contain annotated terms, both present in version 1.0. It is, unlike 1.0, also not mounted on the CLARIN.SI concordancers. The new version is distributed in the canonical TEI encoding, JSON, and as plain text files. In the TEI format, chapter names are denoted with the tag. Each entry in JSON files have a string ID and a list containing names of chapters as its first element and texts as its second element. Chapters without text are represented as an empty string. The plain text files contain only text bodies without segmentation information. References: Žagar, A., Kavaš, M., & Robnik Šikonja, M. (2021). Corpus KAS 2.0: cleaner and with new datasets. In Information Society - IS 2021: Proceedings of the 24th International Multiconference. https://doi.org/10.5281/zenodo.5562228 Keyword: academic writing; BSc/BA theses; MSc/MA theses; PhD theses; TEI URL: http://hdl.handle.net/11356/1448 BASE Hide details 4 The Twitter user dataset for discriminating between Bosnian, Croatian, Montenegrin and Serbian Twitter-HBS 1.0 Ljubešić, Nikola; Rupnik, Peter. - : Jožef Stefan Institute, 2022 BASE Show details 5 Summarization datasets from the KAS corpus KAS-Sum 1.0 Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022 BASE Show details 6 Machine Translation datasets from the KAS corpus KAS-MT 1.0 Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022 BASE Show details 7 ASR training dataset for Croatian ParlaSpeech-HR v1.0 Ljubešić, Nikola; Koržinek, Danijel; Rupnik, Peter. - : Jožef Stefan Institute, 2022 BASE Show details 8 The news dataset for discriminating between Bosnian, Croatian and Serbian SETimes.HBS 1.0 Ljubešić, Nikola; Rupnik, Peter. - : Jožef Stefan Institute, 2022 BASE Show details 9 The CLASSLA-StanfordNLP model for morphosyntactic annotation of standard Slovenian 1.3 Ljubešić, Nikola; Krsnik, Luka. - : Jožef Stefan Institute, 2022 BASE Show details 10 The GINCO Training Dataset for Web Genre Identification of Documents Out in the Wild ... Kuzman, Taja; Rupnik, Peter; Ljubešić, Nikola. - : arXiv, 2022 BASE Show details 11 Geographic Adaptation of Pretrained Language Models ... Hofmann, Valentin; Glavaš, Goran; Ljubešić, Nikola. - : arXiv, 2022 BASE Show details 12 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - 2022 BASE Show details 13 Retweet communities reveal the main sources of hate speech Evkoski, Bojan; Pelicon, Andraž; Mozetič, Igor... In: PLoS One (2022) BASE Show details 14 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya... In: Lang Resour Eval (2022) BASE Show details 15 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 16 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 17 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 18 Choice of plausible alternatives dataset in Croatian COPA-HR Ljubešić, Nikola. - : Jožef Stefan Institute, 2021 BASE Show details 19 Croatian corpus of non-professional written language by typical speakers and speakers with language disorders RAPUT 1.0 Kuvač Kraljević, Jelena; Hržica, Gordana; Štefanec, Vanja. - : Jožef Stefan Institute, 2021. : Faculty of Education and Rehabilitation, University of Zagreb, 2021 BASE Show details 20 The Orange workflow for observing collocation trends ColTrend 1.0 Kosem, Iztok; Krek, Simon; Čibej, Jaka. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details Page: 1 2 3 4 5...10

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