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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...7 Hits 1 – 20 of 125 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 Corpus of academic Slovene KAS 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 3 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 4 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 5 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 6 ASR training dataset for Croatian ParlaSpeech-HR v1.0 Ljubešić, Nikola; Koržinek, Danijel; Rupnik, Peter; Jazbec, Ivo-Pavao; Batanović, Vuk; Bajčetić, Lenka; Evkoski, Bojan. - : Jožef Stefan Institute, 2022 Abstract: The ParlaSpeech-HR dataset is built from parliamentary proceedings available in the Croatian part of the ParlaMint corpus and the parliamentary recordings available from the Croatian Parliament's YouTube channel. The corpus consists of segments 8-20 seconds in length. There are two transcripts available: the original one, and the one normalised via a simple rule-based normaliser. Each of the transcripts contains word-level alignments to the recordings. Each segment has a reference to the ParlaMint 2.1 corpus (http://hdl.handle.net/11356/1432) via utterance IDs. If a segment is based on a single utterance, speaker information for that segment is available as well. There is speaker information available for 381,849 segments, i.e., 95% of all segments. Speaker information consists of all the speaker information available from the ParlaMint 2.1 corpus (name, party, gender, age, status, role). There are all together 309 speakers in the dataset. The dataset is divided into a training, a development, and a testing subset. Development data consist of 500 segments coming from the 5 most frequent speakers, with the goal of not losing speaker variety on dev data. Test data consist of 513 segments that come from 3 male (258 segments) and 3 female speakers (255 segments). There are no segments coming from the 6 test speakers in the two remaining subsets. The 22,076 instances not having speaker information are not assigned to any of the three subsets. The remaining 380,836 instances form the training set. Keyword: automatic speech recognition; parliamentary debates; speech database; speech recognition; speech recordings; speech transcription URL: http://hdl.handle.net/11356/1494 BASE Hide details 7 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 8 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 9 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya. - 2022 BASE Show details 10 Retweet communities reveal the main sources of hate speech Evkoski, Bojan; Pelicon, Andraž; Mozetič, Igor... In: PLoS One (2022) BASE Show details 11 The ParlaMint corpora of parliamentary proceedings Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya... In: Lang Resour Eval (2022) BASE Show details 12 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 13 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 14 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 15 Choice of plausible alternatives dataset in Croatian COPA-HR Ljubešić, Nikola. - : Jožef Stefan Institute, 2021 BASE Show details 16 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 17 Slovenian Twitter dataset 2018-2020 1.0 Evkoski, Bojan; Pelicon, Andraž; Mozetič, Igor. - : Jožef Stefan Institute, 2021 BASE Show details 18 Slovene ontology of semantic types for nouns SLONEST-noun 1.0 Kosem, Iztok; Pori, Eva; Gantar, Polona. - : Centre for Language Resources and Technologies, University of Ljubljana, 2021 BASE Show details 19 Corpus of Serbian Forms of Address 1.0 Lemmenmeier-Batinić, Dolores; Ljubešić, Nikola; Samardžić, Tanja. - : Slavic Seminary, University of Zurich, 2021 BASE Show details 20 Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0 Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021 BASE Show details Page: 1 2 3 4 5...7

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