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1. A Human-Annotated Dataset for Language Modeling and Named Entity Recognition in Medieval Documents

Creator:: Novotný, Vít, Luger, Kristýna, Štefánik, Michal, Vrabcová, Tereza, and Horák, Aleš
Publisher:: Masaryk University, Brno
Type:: text and corpus
Subject:: NER, named entity recognition, and Medieval
Language:: Czech, English, German, and Latin
Description:: This is an open dataset of sentences from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains a corpus for language modeling and human annotations for named entity recognition (NER).
Rights:: Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

2. A Human-Annotated Dataset for Language Modeling and Named Entity Recognition in Medieval Documents (2023-01-05)

Creator:: Novotný, Vít, Luger, Kristýna, Štefánik, Michal, Vrabcová, Tereza, and Horák, Aleš
Publisher:: Masaryk University, Brno
Type:: text and corpus
Subject:: NER, named entity recognition, and Medieval
Language:: Czech, English, German, and Latin
Description:: This is an open dataset of sentences from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains a corpus for language modeling and human annotations for named entity recognition (NER).
Rights:: Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

3. A Human-Annotated Dataset of Scanned Images and OCR Texts from Medieval Documents

Creator:: Novotný, Vít, Seidlová, Kristýna, Vrabcová, Tereza, and Horák, Aleš
Publisher:: Masaryk University, Brno
Type:: image and corpus
Subject:: ocr, optical character recognition, language identification, image super-resolution, sr, and Medieval
Language:: German, Czech, Latin, and English
Description:: This is an open dataset of scanned images and OCR texts from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains human annotations for layout analysis, OCR evaluation, and language identification.
Rights:: Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

4. A Human-Annotated Dataset of Scanned Images and OCR Texts from Medieval Documents: Supplementary Materials

Creator:: Novotný, Vít and Horák, Aleš
Publisher:: Masaryk University, Brno
Type:: text and corpus
Subject:: ocr, optical character recognition, language identification, image super-resolution, sr, and Medieval
Language:: Czech, English, German, and Latin
Description:: These are supplementary materials for an open dataset of scanned images and OCR texts from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains human annotations for layout analysis, OCR evaluation, and language identification and is available at http://hdl.handle.net/11234/1-4615. These supplementary materials contain OCR texts from different OCR engines for book pages for which we have both high-resolution scanned images and annotations for OCR evaluation.
Rights:: Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

5. A morphological layer for the German part of the SMULTRON corpus

Creator:: Müller, Thomas, Schütze, Hinrich, Caratti, Francesca, and Recknagel, Arne
Publisher:: Center for Information and Language Processing, University of Munich
Type:: text and corpus
Subject:: morphology, morphological tagging, and PoS tagging
Language:: German
Description:: A morphological layer for the German part of the SMULTRON corpus. Layer was annotated according to the STTS tagset and the annotation guidelines of the Tiger corpus. Coordinator: Thomas Müller Annotators: Francesca Caratti, Arne Recknagel This distribution contains a morphological layer for the SMULTRON corpus [0]. The annotation process is described in : @InProceedings{mueller2015, author = {M\"uller, Thomas and Sch\"utze, Hinrich}, title = {Robust Morphological Tagging with Word Representations}, booktitle = {Proceedings of NAACL}, year = {2015}, } [0] http://www.cl.uzh.ch/research/parallelcorpora/paralleltreebanks/smultron_en.html
Rights:: Creative Commons - Attribution 3.0 Unported (CC BY 3.0), http://creativecommons.org/licenses/by/3.0/, and PUB

6. Additional German-Czech reference translations of the WMT'11 test set

Creator:: Bojar, Ondřej, Zeman, Daniel, Dušek, Ondřej, Břečková, Jana, Farkačová, Hana, Grošpic, Pavel, Kačenová, Kristýna, Knechtová, Eva, Koubová, Anna, Lukavská, Jana, Nováková, Petra, and Petrdlíková, Jana
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: reference translation, German-Czech, and parallel corpus
Language:: German and Czech
Description:: Additional three Czech reference translations of the whole WMT 2011 data set (http://www.statmt.org/wmt11/test.tgz), translated from the German originals. Original segmentation of the WMT 2011 data is preserved. and This project has been sponsored by the grants GAČR P406/11/1499 and EuroMatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003+7E11051 of the Ministry of Education, Youth and Sports of the Czech Republic)
Rights:: Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB

7. Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.0)

Creator:: Savary, Agata, Ramisch, Carlos, Cordeiro, Silvio Ricardo, Sangati, Federico, Vincze, Veronika, QasemiZadeh, Behrang, Candito, Marie, Cap, Fabienne, Giouli, Voula, Stoyanova, Ivelina, Doucet, Antoine, Adalı, Kübra, Barbu Mititelu, Verginica, Bejček, Eduard, El Maarouf, Ismail, Eryiğit, Gülşen, Galea, Luke, Ha-Cohen Kerner, Yaakov, Liebeskind, Chaya, Monti, Johanna, Parra Escartín, Carla, Kovalevskaitė, Jolanta, Krek, Simon, van der Plas, Lonneke, Aceta, Cristina, Aduriz, Itziar, Antoine, Jean-Yves, Attard, Greta, Azzopardi, Kirsty, Boizou, Loic, Bonnici, Janice, Boz, Mert, Bumbulienė, Ieva, Busuttil, Jael, Caruso, Valeria, Cherchi, Manuela, Constant, Matthieu, Czerepowicka, Monika, De Santis, Anna, Dimitrova, Tsvetana, Dinç, Tutkum, Elyovich, Hevi, Fabri, Ray, Farrugia, Alison, Findlay, Jamie, Fotopoulou, Aggeliki, Foufi, Vassiliki, Galea, Sara Anne, Gantar, Polona, Gatt, Albert, Gatt, Anabelle, Herrero, Carlos, Iñurrieta, Uxoa, Jagfeld, Glorianna, Hnátková, Milena, Ionescu, Mihaela, Klyueva, Natalia, Koeva, Svetla, Kovács, Viktória, Kuzman, Taja, Leseva, Svetlozara, Louisou, Sevi, Lynn, Teresa, Malka, Ruth, Martínez Alonso, Héctor, McCrae, John, de Medeiros Caseli, Helena, Miral, Ayşenur, Muscat, Amanda, Nivre, Joakim, Oakes, Michael, Onofrei, Mihaela, Parmentier, Yannick, Pasquer, Caroline, Pia di Buono, Maria, Priego Sanchez, Belem, Raffone, Annalisa, Ramisch, Renata, Rimkutė, Erika, Rizea, Monica-Mihaela, Simkó, Katalin, Spagnol, Michael, Stefanova, Valentina, Stymne, Sara, Sulubacak, Umut, Tabone, Nicole, Tanti, Marc, Todorova, Maria, Urešová, Zdenka, Villavicencio, Aline, and Zilio, Leonardo
Publisher:: PARSEME
Type:: text and corpus
Subject:: Multiword expressions, verbal multiword expressions, idioms, light-verb constructions, verb-particle constructions, and inherently reflexive verbs
Language:: Bulgarian, Czech, German, Modern Greek (1453-), Spanish, Persian, French, Hebrew, Hungarian, Italian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovenian, Swedish, and Turkish
Description:: The PARSEME shared task aims at identifying verbal MWEs in running texts. Verbal MWEs include idioms (let the cat out of the bag), light verb constructions (make a decision), verb-particle constructions (give up), and inherently reflexive verbs (se suicider 'to suicide' in French). VMWEs were annotated according to the universal guidelines in 18 languages. The corpora are provided in the parsemetsv format, inspired by the CONLL-U format. For most languages, paired files in the CONLL-U format - not necessarily using UD tagsets - containing parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training and test data, tools and the universal guidelines file.
Rights:: PARSEME Shared Task Data (v. 1.0) Agreement, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.0, and PUB

8. Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)

Creator:: Ramisch, Carlos, Cordeiro, Silvio Ricardo, Savary, Agata, Vincze, Veronika, Barbu Mititelu, Verginica, Bhatia, Archna, Buljan, Maja, Candito, Marie, Gantar, Polona, Giouli, Voula, Güngör, Tunga, Hawwari, Abdelati, Iñurrieta, Uxoa, Kovalevskaitė, Jolanta, Krek, Simon, Lichte, Timm, Liebeskind, Chaya, Monti, Johanna, Parra Escartín, Carla, QasemiZadeh, Behrang, Ramisch, Renata, Schneider, Nathan, Stoyanova, Ivelina, Vaidya, Ashwini, Walsh, Abigail, Aceta, Cristina, Aduriz, Itziar, Antoine, Jean-Yves, Arhar Holdt, Špela, Berk, Gözde, Bielinskienė, Agnė, Blagus, Goranka, Boizou, Loic, Bonial, Claire, Caruso, Valeria, Čibej, Jaka, Constant, Matthieu, Cook, Paul, Diab, Mona, Dimitrova, Tsvetana, Ehren, Rafael, Elbadrashiny, Mohamed, Elyovich, Hevi, Erden, Berna, Estarrona, Ainara, Fotopoulou, Aggeliki, Foufi, Vassiliki, Geeraert, Kristina, van Gompel, Maarten, Gonzalez, Itziar, Gurrutxaga, Antton, Ha-Cohen Kerner, Yaakov, Ibrahim, Rehab, Ionescu, Mihaela, Jain, Kanishka, Jazbec, Ivo-Pavao, Kavčič, Teja, Klyueva, Natalia, Kocijan, Kristina, Kovács, Viktória, Kuzman, Taja, Leseva, Svetlozara, Ljubešić, Nikola, Malka, Ruth, Markantonatou, Stella, Martínez Alonso, Héctor, Matas, Ivana, McCrae, John, de Medeiros Caseli, Helena, Onofrei, Mihaela, Palka-Binkiewicz, Emilia, Papadelli, Stella, Parmentier, Yannick, Pascucci, Antonio, Pasquer, Caroline, Pia di Buono, Maria, Puri, Vandana, Raffone, Annalisa, Ratori, Shraddha, Riccio, Anna, Sangati, Federico, Shukla, Vishakha, Simkó, Katalin, Šnajder, Jan, Somers, Clarissa, Srivastava, Shubham, Stefanova, Valentina, Taslimipoor, Shiva, Theoxari, Natasa, Todorova, Maria, Urizar, Ruben, Villavicencio, Aline, and Zilio, Leonardo
Publisher:: PARSEME
Type:: text and corpus
Subject:: Multiword expressions, verbal multiword expressions, light-verb constructions, verb-particle constructions, inherently reflexive verbs, verbal idioms, and multi-verb constructions
Language:: Bulgarian, German, Modern Greek (1453-), Spanish, Persian, French, Hebrew, Hungarian, Italian, Lithuanian, Polish, Portuguese, Romanian, Slovenian, Turkish, Hindi, Basque, English, and Croatian
Description:: This multilingual resource contains corpora in which verbal MWEs have been manually annotated. VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). VMWEs were annotated according to the universal guidelines in 19 languages. The corpora are provided in the cupt format, inspired by the CONLL-U format. The corpora were used in the 1.1 edition of the PARSEME Shared Task (2018). For most languages, morphological and syntactic information – not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.1 (2018). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.1
Rights:: PARSEME Shared Task Data (v. 1.1) Agreement, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.1, and PUB

9. Annotated corpora and tools of the PARSEME Shared Task on Semi-Supervised Identification of Verbal Multiword Expressions (edition 1.2)

Creator:: Ramisch, Carlos, Guillaume, Bruno, Savary, Agata, Waszczuk, Jakub, Candito, Marie, Vaidya, Ashwini, Barbu Mititelu, Verginica, Bhatia, Archna, Iñurrieta, Uxoa, Giouli, Voula, Güngör, Tunga, Jiang, Menghan, Lichte, Timm, Liebeskind, Chaya, Monti, Johanna, Ramisch, Renata, Stymme, Sara, Walsh, Abigail, Xu, Hongzhi, Palka-Binkiewicz, Emilia, Ehren, Rafael, Stymne, Sara, Constant, Matthieu, Pasquer, Caroline, Parmentier, Yannick, Antoine, Jean-Yves, Carlino, Carola, Caruso, Valeria, Di Buono, Maria Pia, Pascucci, Antonio, Raffone, Annalisa, Riccio, Anna, Sangati, Federico, Speranza, Giulia, Cordeiro, Silvio Ricardo, de Medeiros Caseli, Helena, Miranda, Isaac, Rademaker, Alexandre, Vale, Oto, Villavicencio, Aline, Wick Pedro, Gabriela, Wilkens, Rodrigo, Zilio, Leonardo, Rizea, Monica-Mihaela, Ionescu, Mihaela, Onofrei, Mihaela, Chen, Jia, Ge, Xiaomin, Hu, Fangyuan, Hu, Sha, Li, Minli, Liu, Siyuan, Qin, Zhenzhen, Sun, Ruilong, Wang, Chenweng, Xiao, Huangyang, Yan, Peiyi, Yih, Tsy, Yu, Ke, Yu, Songping, Zeng, Si, Zhang, Yongchen, Zhao, Yun, Foufi, Vassiliki, Fotopoulou, Aggeliki, Markantonatou, Stella, Papadelli, Stella, Louizou, Sevasti, Aduriz, Itziar, Estarrona, Ainara, Gonzalez, Itziar, Gurrutxaga, Antton, Uria, Larraitz, Urizar, Ruben, Foster, Jennifer, Lynn, Teresa, Elyovitch, Hevi, Ha-Cohen Kerner, Yaakov, Malka, Ruth, Jain, Kanishka, Puri, Vandana, Ratori, Shraddha, Shukla, Vishakha, Srivastava, Shubham, Berk, Gozde, Erden, Berna, and Yirmibeşoğlu, Zeynep
Publisher:: PARSEME
Type:: text and corpus
Subject:: multiword expressions, verbal multiword expressions, light verb construction, verb-particle constructions, inherently reflexive verbs, verbal idioms, and multi-verb constructions
Language:: German, Modern Greek (1453-), Basque, French, Irish, Hebrew, Hindi, Italian, Polish, Portuguese, Romanian, Swedish, Turkish, and Chinese
Description:: This multilingual resource contains corpora in which verbal MWEs have been manually annotated, gathered at the occasion of the 1.2 edition of the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020). VMWEs include idioms (let the cat out of the bag), light-verb constructions (make a decision), verb-particle constructions (give up), inherently reflexive verbs (help oneself), and multi-verb constructions (make do). For the 1.2 shared task edition, the data covers 14 languages, for which VMWEs were annotated according to the universal guidelines. The corpora are provided in the cupt format, inspired by the CONLL-U format. Morphological and syntactic information – not necessarily using UD tagsets – including parts of speech, lemmas, morphological features and/or syntactic dependencies are also provided. Depending on the language, the information comes from treebanks (e.g., Universal Dependencies) or from automatic parsers trained on treebanks (e.g., UDPipe). This item contains training, development and test data, as well as the evaluation tools used in the PARSEME Shared Task 1.2 (2020). The annotation guidelines are available online: http://parsemefr.lif.univ-mrs.fr/parseme-st-guidelines/1.2
Rights:: PARSEME Shared Task Data (v. 1.2) Agreement, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.2, and PUB

10. Anny Ondráková (actress)

Creator:: Veselý, Bohumil
Publisher:: Národní filmový archiv
Type:: video and clip
Subject:: film Když hvězdy svítí ukázky, film Únos bankéře Fuxe ukázka, film Velbloud uchem jehly ukázka, Galerie osobností, People::Ondráková Anny (1902-1987), People::Schmeling Max (1905-2005), and Když hvězdy svítí
Language:: No linguistic content and German
Description:: Actress Anna Ondráková with her husband, boxer Max Schmelling, in Když hvězdy svítí (When the Stars Shine, dir. Hans H. Zerlett, 1938). The following footage includes clips showing Anna Ondráková in several other film roles, such as Velbloud uchem jehly (Camel Through the Eye of a Needle, dir. Karel Lamač, 1926), with the last clip being from Únos bankéře Fuxe (The Kidnapping of Fux the Banker, dir. Karel Anton, 1923).
Rights:: http://creativecommons.org/licenses/by-nc-nd/4.0/, PUB, and Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

11. APE Shared Task WMT17: Human Post-edits Test Data EN-DE

Creator:: Turchi, Marco, Chatterjee, Rajen, and Negri, Matteo
Publisher:: Fondazione Bruno Kessler, Trento, Italy
Type:: text and corpus
Subject:: machine translation, human post-edits, shared task, automatic post-editing, and post-editing
Language:: German
Description:: Human post-edited test sentences for the WMT 2017 Automatic post-editing task. This consists in 2,000 German sentences belonging to the IT domain and already tokenized. Source and target segments can be downloaded from: https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2133. All data is provided by the EU project QT21 (http://www.qt21.eu/).
Rights:: AGREEMENT ON THE USE OF DATA IN QT21 APE Task, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-TAUS_QT21, and PUB

12. APE Shared Task WMT18: Human Post-edits and References Test Data EN-DE PBSMT

Creator:: Turchi, Marco, Negri, Matteo, and Chatterjee, Rajen
Publisher:: Fondazione Bruno Kessler, Trento, Italy
Type:: text and corpus
Subject:: automatic post-editing, post-editing, phrase-based MT, and reference translation
Language:: German
Description:: Human post-edited and reference test sentences for the En-De PBSMT WMT 2018 Automatic post-editing task. This consists of 2,000 German sentences for each file belonging to the IT domain and already tokenized. All data is provided by the EU project QT21 (http://www.qt21.eu/).
Rights:: AGREEMENT ON THE USE OF DATA IN QT21 APE Task, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-TAUS_QT21, and PUB

20. CEHugeWebCorpus

Creator:: Rüdiger, Jan Oliver
Publisher:: Rüdiger, Jan Oliver
Type:: text and corpus
Subject:: corpus, German, Germanistik, Web corpus, web corpora, and CorpusExplorer
Language:: German
Description:: This corpus was originally created for performance testing (server infrastructure CorpusExplorer - see: diskurslinguistik.net / diskursmonitor.de). It includes the filtered database (German texts only) of CommonCrawl (as of March 2018). First, the URLs were filtered according to their top-level domain (de, at, ch). Then the texts were classified using NTextCat and only uniquely German texts were included in the corpus. The texts were then annotated using TreeTagger (token, lemma, part-of-speech). 2.58 million documents - 232.87 million sentences - 3.021 billion tokens. You can use CorpusExplorer (http://hdl.handle.net/11234/1-2634) to convert this data into various other corpus formats (XML, JSON, Weblicht, TXM and many more).
Rights:: Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), PUB, and http://creativecommons.org/licenses/by-nc-sa/4.0/

21. CoNLL 2017 and 2018 Shared Task Blind and Preprocessed Test Data

Creator:: Zeman, Daniel and Straka, Milan
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: tokenization, word segmentation, morphology, tagging, syntax, parsing, and universal dependencies
Language:: Afrikaans, Arabic, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Persian, Finnish, French, Old French (842-ca. 1400), Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Latin, Latvian, Dutch, Norwegian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Thai, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, and Chinese
Description:: CoNLL 2017 and 2018 shared tasks: Multilingual Parsing from Raw Text to Universal Dependencies This package contains the test data in the form in which they ware presented to the participating systems: raw text files and files preprocessed by UDPipe. The metadata.json files contain lists of files to process and to output; README files in the respective folders describe the syntax of metadata.json. For full training, development and gold standard test data, see Universal Dependencies 2.0 (CoNLL 2017) Universal Dependencies 2.2 (CoNLL 2018) See the download links at http://universaldependencies.org/. For more information on the shared tasks, see http://universaldependencies.org/conll17/ http://universaldependencies.org/conll18/ Contents: conll17-ud-test-2017-05-09 ... CoNLL 2017 test data conll18-ud-test-2018-05-06 ... CoNLL 2018 test data conll18-ud-test-2018-05-06-for-conll17 ... CoNLL 2018 test data with metadata and filenames modified so that it is digestible by the 2017 systems.
Rights:: Licence Universal Dependencies v2.2, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-UD-2.2, and PUB

22. CoNLL 2017 Shared Task System Outputs

Creator:: Zeman, Daniel, Potthast, Martin, Straka, Milan, Popel, Martin, Dozat, Timothy, Qi, Peng, Manning, Christopher, Shi, Tianze, Wu, Felix G., Chen, Xilun, Cheng, Yao, Björkelund, Anders, Falenska, Agnieszka, Yu, Xiang, Kuhn, Jonas, Che, Wanxiang, Guo, Jiang, Wang, Yuxuan, Zheng, Bo, Zhao, Huaipeng, Liu, Yang, Teng, Dechuan, Liu, Ting, Lim, Kyungtae, Poibeau, Thierry, Sato, Motoki, Manabe, Hitoshi, Noji, Hiroshi, Matsumoto, Yuji, Kırnap, Ömer, Önder, Berkay Furkan, Yuret, Deniz, Straková, Jana, Vania, Clara, Zhang, Xingxing, Lopez, Adam, Heinecke, Johannes, Asadullah, Munshi, Kanerva, Jenna, Luotolahti, Juhani, Ginter, Filip, Kuan, Yu, Sofroniev, Pavel, Schill, Erik, Hinrichs, Erhard, Nguyen, Dat Quoc, Dras, Mark, Johnson, Mark, Qian, Xian, Vilares, David, Gómez-Rodríguez, Carlos, Aufrant, Lauriane, Wisniewski, Guillaume, Yvon, François, Dumitrescu, Stefan Daniel, Boroş, Tiberiu, Tufiş, Dan, Das, Ayan, Zaffar, Affan, Sarkar, Sudeshna, Wang, Hao, Zhao, Hai, Zhang, Zhisong, Hornby, Ryan, Taylor, Clark, Park, Jungyeul, de Lhoneux, Miryam, Shao, Yan, Basirat, Ali, Kiperwasser, Eliyahu, Stymne, Sara, Goldberg, Yoav, Nivre, Joakim, Akkuş, Burak Kerim, Azizoglu, Heval, Cakici, Ruket, Moor, Christophe, Merlo, Paola, Henderson, James, Wang, Haozhou, Ji, Tao, Wu, Yuanbin, Lan, Man, de la Clergerie, Eric, Sagot, Benoît, Seddah, Djamé, More, Amir, Tsarfaty, Reut, Kanayama, Hiroshi, Muraoka, Masayasu, Yoshikawa, Katsumasa, Garcia, Marcos, and Gamallo, Pablo
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: dependency parser and parsebank
Language:: Arabic, Bulgarian, Russia Buriat, Czech, Catalan, Church Slavic, Danish, German, Modern Greek (1453-), English, Spanish, Estonian, Basque, Persian, Finnish, French, Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Latin, Latvian, Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Swedish, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, and Chinese
Description:: This package contains the system outputs from the CoNLL 2017 Shared Task in Multilingual Parsing from Raw Text to Universal Dependencies.
Rights:: Licence Universal Dependencies v2.0, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-UD-2.0, and PUB

23. CoNLL 2018 Shared Task System Outputs

Creator:: Zeman, Daniel, Potthast, Martin, Duthoo, Elie, Mesnard, Olivier, Rybak, Piotr, Wróblewska, Alina, Che, Wanxiang, Liu, Yijia, Wang, Yuxuan, Zheng, Bo, Liu, Ting, Li, Zuchao, He, Shexia, Zhang, Zhuosheng, Zhao, Hai, Wu, Yingting, Tong, Jia-Jun, Nguyen, Dat Quoc, Verspoor, Karin, Wan, Hui, Naseem, Tahira, Lee, Young-Suk, Castelli, Vittorio, Ballesteros, Miguel, Hershcovich, Daniel, Abend, Omri, Rappoport, Ari, Smith, Aaron, Bohnet, Bernd, de Lhoneux, Miryam, Nivre, Joakim, Shao, Yan, Stymne, Sara, Kırnap, Ömer, Dayanık, Erenay, Yuret, Deniz, Kanerva, Jenna, Ginter, Filip, Miekka, Niko, Leino, Akseli, Salakoski, Tapio, Lim, KyungTae, Park, Cheoneum, Lee, Changki, Poibeau, Thierry, Bhat, Riyaz Ahmad, Bhat, Irshad, Bangalore, Srinivas, Qi, Peng, Dozat, Timothy, Zhang, Yuhao, Manning, Christopher, Boroș, Tiberiu, Dumitrescu, Stefan Daniel, Burtica, Ruxandra, Arakelyan, Gor, Hambardzumyan, Karen, Khachatrian, Hrant, Rosa, Rudolf, Mareček, David, Straka, Milan, Seker, Amit, More, Amir, Tsarfaty, Reut, Önder, Berkay Furkan, Gümeli, Can, Jawahar, Ganesh, Muller, Benjamin, Fethi, Amal, Martin, Louis, Villemonte de la Clergerie, Eric, Sagot, Benoît, Seddah, Djamé, Özateş, Şaziye Betül, Özgür, Arzucan, Gungor, Tunga, Öztürk, Balkız, Ji, Tao, Liu, Yufang, Wang, Yijun, Wu, Yuanbin, Lan, Man, Chen, Danlu, Lin, Mengxiao, Hu, Zhifeng, and Qiu, Xipeng
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: parsed data, conllu, and universal dependencies
Language:: Afrikaans, Arabic, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Persian, Finnish, French, Old French (842-ca. 1400), Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Latin, Latvian, Dutch, Norwegian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Thai, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, and Chinese
Description:: Test data parsed by systems submitted to the CoNLL 2018 UD parsing shared task.
Rights:: Licence Universal Dependencies v2.2, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-UD-2.2, and PUB

24. Continuous Rating; Supplementary materials

Creator:: Javorský, Dávid, Macháček, Dominik, and Bojar, Ondřej
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: manual evaluation, simultaneous speech subtitling, Continuous Rating, and questionnaire evaluation
Language:: German and Czech
Description:: Collected data from Continuous Rating evaluation study; collected Continuous Rating scores and Questionnaires.
Rights:: Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB

25. Coreference in Universal Dependencies 0.1 (CorefUD 0.1)

Creator:: Nedoluzhko, Anna, Novák, Michal, Popel, Martin, Žabokrtský, Zdeněk, and Zeman, Daniel
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: dependency, treebank, coreference, bridging relations, and harmonized annotation
Language:: Catalan, Czech, Dutch, English, French, German, Hungarian, Lithuanian, Polish, Russian, and Spanish
Description:: CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 0.1 consists of 17 datasets for 11 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 13 datasets for 10 languages (1 dataset for Catalan, 2 for Czech, 2 for English, 1 for French, 2 for German, 1 for Hungarian, 1 for Lithuanian, 1 for Polish, 1 for Russian, and 1 for Spanish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource too. References to original resources whose harmonized versions are contained in the public edition of CorefUD 0.1: - Catalan-AnCora: Recasens, M. and Martí, M. A. (2010). AnCora-CO: Coreferentially Annotated Corpora for Spanish and Catalan. Language Resources and Evaluation, 44(4):315–345 - Czech-PCEDT: Nedoluzhko, A., Novák, M., Cinková, S., Mikulová, M., and Mírovský, J. (2016). Coreference in Prague Czech-English Dependency Treebank. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 169–176, Portorož, Slovenia. European Language Resources Association. - Czech-PDT: Hajič, J., Bejček, E., Hlaváčová, J., Mikulová, M., Straka, M., Štěpánek, J., and Štěpánková, B. (2020). Prague Dependency Treebank - Consolidated 1.0. In Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020), pages 5208–5218, Marseille, France. European Language Resources Association. - English-GUM: Zeldes, A. (2017). The GUM Corpus: Creating Multilayer Resources in the Classroom. Language Resources and Evaluation, 51(3):581–612. - English-ParCorFull: Lapshinova-Koltunski, E., Hardmeier, C., and Krielke, P. (2018). ParCorFull: a Parallel Corpus Annotated with Full Coreference. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association. - French-Democrat: Landragin, F. (2016). Description, modélisation et détection automatique des chaı̂nes de référence (DEMOCRAT). Bulletin de l’Association Française pour l’Intelligence Artificielle, (92):11–15. - German-ParCorFull: Lapshinova-Koltunski, E., Hardmeier, C., and Krielke, P. (2018). ParCorFull: a Parallel Corpus Annotated with Full Coreference. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association - German-PotsdamCC: Bourgonje, P. and Stede, M. (2020). The Potsdam Commentary Corpus 2.2: Extending annotations for shallow discourse parsing. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 1061–1066, Marseille, France. European Language Resources Association. - Hungarian-SzegedKoref: Vincze, V., Hegedűs, K., Sliz-Nagy, A., and Farkas, R. (2018). SzegedKoref: A Hungarian Coreference Corpus. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association. - Lithuanian-LCC: Žitkus, V. and Butkienė, R. (2018). Coreference Annotation Scheme and Corpus for Lithuanian Language. In Fifth International Conference on Social Networks Analysis, Management and Security, SNAMS 2018, Valencia, Spain, October 15-18, 2018, pages 243–250. IEEE. - Polish-PCC: Ogrodniczuk, M., Glowińska, K., Kopeć, M., Savary, A., and Zawisławska, M. (2013). Polish coreference corpus. In Human Language Technology. Challenges for Computer Science and Linguistics - 6th Language and Technology Conference, LTC 2013, Poznań, Poland, December 7-9, 2013. Revised Selected Papers, volume 9561 of Lecture Notes in Computer Science, pages 215–226. Springer. - Russian-RuCor: Toldova, S., Roytberg, A., Ladygina, A. A., Vasilyeva, M. D., Azerkovich, I. L., Kurzukov,M., Sim, G., Gorshkov, D. V., Ivanova, A., Nedoluzhko, A., and Grishina, Y. (2014). Evaluating Anaphora and Coreference Resolution for Russian. In Komp’juternaja lingvistika i intellektual’nye tehnologii. Po materialam ezhegodnoj Mezhdunarodnoj konferencii Dialog, pages 681–695. - Spanish-AnCora: Recasens, M. and Martí, M. A. (2010). AnCora-CO: Coreferentially Annotated Corpora for Spanish and Catalan. Language Resources and Evaluation, 44(4):315–345 References to original resources whose harmonized versions are contained in the ÚFAL-internal edition of CorefUD 0.1: - Dutch-COREA: Hendrickx, I., Bouma, G., Coppens, F., Daelemans, W., Hoste, V., Kloosterman, G., Mineur, A.-M., Van Der Vloet, J., and Verschelde, J.-L. (2008). A coreference corpus and resolution system for Dutch. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08), Marrakech, Morocco. European Language Resources Association. - English-ARRAU: Uryupina, O., Artstein, R., Bristot, A., Cavicchio, F., Delogu, F., Rodriguez, K. J., and Poesio, M. (2020). Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus. Natural Language Engineering, 26(1):95–128. - English-OntoNotes: Weischedel, R., Hovy, E., Marcus, M., Palmer, M., Belvin, R., Pradhan, S., Ramshaw, L., and Xue, N. (2011). Ontonotes: A large training corpus for enhanced processing. In Handbook of Natural Language Processing and Machine Translation: DARPA Global Autonomous Language Exploitation, pages 54–63, New York. Springer-Verlag. - English-PCEDT: Nedoluzhko, A., Novák, M., Cinková, S., Mikulová, M., and Mírovský, J. (2016). Coreference in Prague Czech-English Dependency Treebank. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16), pages 169–176, Portorož, Slovenia. European Language Resources Association.
Rights:: Licence CorefUD v0.1, https://lindat.mff.cuni.cz/repository/xmlui/page/license-corefud-0.1, and PUB

26. Coreference in Universal Dependencies 0.2 (CorefUD 0.2)

Creator:: Nedoluzhko, Anna, Novák, Michal, Popel, Martin, Žabokrtský, Zdeněk, and Zeman, Daniel
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: dependency, treebank, coreference, bridging relations, and harmonized annotation
Language:: Catalan, Czech, Dutch, English, French, German, Hungarian, Lithuanian, Polish, Russian, and Spanish
Description:: CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 0.2 consists of 17 datasets for 11 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 13 datasets for 10 languages (1 dataset for Catalan, 2 for Czech, 2 for English, 1 for French, 2 for German, 1 for Hungarian, 1 for Lithuanian, 1 for Polish, 1 for Russian, and 1 for Spanish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource too. Version 0.2 consists of exactly the same datasets as the version 0.1. All automatically parsed datasets were re-parsed for v0.2 using UDPipe 2 with models trained on UD 2.6. Catalan-AnCora, Spanish-AnCora and English-GUM have been updated to match the their UD 2.9 versions.
Rights:: Licence CorefUD v0.2, https://lindat.mff.cuni.cz/repository/xmlui/page/license-corefud-0.2, and PUB

27. Coreference in Universal Dependencies 1.0 (CorefUD 1.0)

Creator:: Nedoluzhko, Anna, Novák, Michal, Popel, Martin, Žabokrtský, Zdeněk, Zeldes, Amir, Zeman, Daniel, Bourgonje, Peter, Cinková, Silvie, Hajič, Jan, Hardmeier, Christian, Krielke, Pauline, Landragin, Frédéric, Lapshinova-Koltunski, Ekaterina, Martí, M. Antònia, Mikulová, Marie, Ogrodniczuk, Maciej, Recasens, Marta, Stede, Manfred, Straka, Milan, Toldova, Svetlana, Vincze, Veronika, and Žitkus, Voldemaras
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: dependency, treebank, coreference, bridging relations, and harmonized annotation
Language:: Catalan, Czech, Dutch, English, French, German, Hungarian, Lithuanian, Polish, Russian, and Spanish
Description:: CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 1.0 consists of 17 datasets for 11 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 13 datasets for 10 languages (1 dataset for Catalan, 2 for Czech, 2 for English, 1 for French, 2 for German, 1 for Hungarian, 1 for Lithuanian, 1 for Polish, 1 for Russian, and 1 for Spanish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource too. Version 1.0 consists of the same corpora and languages as the previous version 0.2; however, the English GUM dataset has been updated to a newer and larger version, and in the Czech/English PCEDT dataset, the train-dev-test split has been changed to be compatible with OntoNotes. Nevertheless, the main change is in the file format (the MISC attributes have new form and interpretation).
Rights:: Licence CorefUD v0.2, https://lindat.mff.cuni.cz/repository/xmlui/page/license-corefud-0.2, and PUB

28. Coreference in Universal Dependencies 1.1 (CorefUD 1.1)

Creator:: Novák, Michal, Popel, Martin, Žabokrtský, Zdeněk, Zeman, Daniel, Nedoluzhko, Anna, Acar, Kutay, Bourgonje, Peter, Cinková, Silvie, Cebiroğlu Eryiğit, Gülşen, Hajič, Jan, Hardmeier, Christian, Haug, Dag, Jørgensen, Tollef, Kåsen, Andre, Krielke, Pauline, Landragin, Frédéric, Lapshinova-Koltunski, Ekaterina, Mæhlum, Petter, Martí, M. Antònia, Mikulová, Marie, Nøklestad, Anders, Ogrodniczuk, Maciej, Øvrelid, Lilja, Pamay Arslan, Tuğba, Recasens, Marta, Solberg, Per Erik, Stede, Manfred, Straka, Milan, Toldova, Svetlana, Vadász, Noémi, Velldal, Erik, Vincze, Veronika, Zeldes, Amir, and Žitkus, Voldemaras
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: dependency, treebank, coreference, bridging relations, and harmonized annotation
Language:: Catalan, Czech, English, French, German, Hungarian, Lithuanian, Norwegian, Polish, Russian, Spanish, and Turkish
Description:: CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 1.1 consists of 21 datasets for 13 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 17 datasets for 12 languages (1 dataset for Catalan, 2 for Czech, 2 for English, 1 for French, 2 for German, 2 for Hungarian, 1 for Lithuanian, 2 for Norwegian, 1 for Polish, 1 for Russian, 1 for Spanish, and 1 for Turkish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource too. Compared to the previous version 1.0, the version 1.1 comprises new languages and corpora, namely Hungarian-KorKor, Norwegian-BokmaalNARC, Norwegian-NynorskNARC, and Turkish-ITCC. In addition, the English GUM dataset has been updated to a newer and larger version, and the conversion pipelines for most datasets have been refined (a list of all changes in each dataset can be found in the corresponding README file).
Rights:: Licence CorefUD v1.1, https://lindat.mff.cuni.cz/repository/xmlui/page/license-corefud-1.1, and PUB

29. Coreference in Universal Dependencies 1.2 (CorefUD 1.2)

Creator:: Popel, Martin, Novák, Michal, Žabokrtský, Zdeněk, Zeman, Daniel, Nedoluzhko, Anna, Acar, Kutay, Bamman, David, Bourgonje, Peter, Cinková, Silvie, Eckhoff, Hanne, Cebiroğlu Eryiğit, Gülşen, Hajič, Jan, Hardmeier, Christian, Haug, Dag, Jørgensen, Tollef, Kåsen, Andre, Krielke, Pauline, Landragin, Frédéric, Lapshinova-Koltunski, Ekaterina, Mæhlum, Petter, Martí, M. Antònia, Mikulová, Marie, Nøklestad, Anders, Ogrodniczuk, Maciej, Øvrelid, Lilja, Pamay Arslan, Tuğba, Recasens, Marta, Solberg, Per Erik, Stede, Manfred, Straka, Milan, Swanson, Daniel, Toldova, Svetlana, Vadász, Noémi, Velldal, Erik, Vincze, Veronika, Zeldes, Amir, and Žitkus, Voldemaras
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: coreference, bridging relations, harmonized annotation, dependency, and treebank
Language:: Ancient Greek (to 1453), Ancient Hebrew, Catalan, Czech, English, French, German, Hungarian, Lithuanian, Norwegian, Church Slavic, Polish, Russian, Spanish, and Turkish
Description:: CorefUD is a collection of previously existing datasets annotated with coreference, which we converted into a common annotation scheme. In total, CorefUD in its current version 1.2 consists of 25 datasets for 16 languages. The datasets are enriched with automatic morphological and syntactic annotations that are fully compliant with the standards of the Universal Dependencies project. All the datasets are stored in the CoNLL-U format, with coreference- and bridging-specific information captured by attribute-value pairs located in the MISC column. The collection is divided into a public edition and a non-public (ÚFAL-internal) edition. The publicly available edition is distributed via LINDAT-CLARIAH-CZ and contains 21 datasets for 15 languages (1 dataset for Ancient Greek, 1 for Ancient Hebrew, 1 for Catalan, 2 for Czech, 3 for English, 1 for French, 2 for German, 2 for Hungarian, 1 for Lithuanian, 2 for Norwegian, 1 for Old Church Slavonic, 1 for Polish, 1 for Russian, 1 for Spanish, and 1 for Turkish), excluding the test data. The non-public edition is available internally to ÚFAL members and contains additional 4 datasets for 2 languages (1 dataset for Dutch, and 3 for English), which we are not allowed to distribute due to their original license limitations. It also contains the test data portions for all datasets. When using any of the harmonized datasets, please get acquainted with its license (placed in the same directory as the data) and cite the original data resource, too. Compared to the previous version 1.1, the version 1.2 comprises new languages and corpora, namely Ancient_Greek-PROIEL, Ancient_Hebrew-PTNK, English-LitBank, and Old_Church_Slavonic-PROIEL. In addition, English-GUM and Turkish-ITCC have been updated to newer versions, conversion of zeros in Polish-PCC has been improved, and the conversion pipelines for multiple other datasets have been refined (a list of all changes in each dataset can be found in the corresponding README file).
Rights:: Licence CorefUD v1.2, https://lindat.mff.cuni.cz/repository/xmlui/page/license-corefud-1.2, and PUB

30. CorPipe 23 multilingual CorefUD 1.1 model (corpipe23-corefud1.1-231206)

Creator:: Straka, Milan
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: tool and toolService
Subject:: coreference resolution, CorPipe, and CorefUD
Language:: Catalan, Czech, German, English, Spanish, French, Hungarian, Lithuanian, Norwegian Bokmål, Norwegian Nynorsk, Polish, Russian, and Turkish
Description:: The `corpipe23-corefud1.1-231206` is a `mT5-large`-based multilingual model for coreference resolution usable in CorPipe 23 (https://github.com/ufal/crac2023-corpipe). It is released under the CC BY-NC-SA 4.0 license. The model is language agnostic (no _corpus id_ on input), so it can be used to predict coreference in any `mT5` language (for zero-shot evaluation, see the paper). However, note that the empty nodes must be present already on input, they are not predicted (the same settings as in the CRAC23 shared task).
Rights:: Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB

31. Czech Malach Cross-lingual Speech Retrieval Test Collection

Creator:: Galuščáková, Petra, Pecina, Pavel, Hoffmannová, Petra, Hajič, Jan, Ircing, Pavel, and Švec, Jan
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: audio and corpus
Subject:: annotated corpus, corpus, speech corpus, annotation, audio, and multilingual
Language:: Czech, English, French, German, and Spanish
Description:: The package contains Czech recordings of the Visual History Archive which consists of the interviews with the Holocaust survivors. The archive consists of audio recordings, four types of automatic transcripts, manual annotations of selected topics and interviews' metadata. The archive totally contains 353 recordings and 592 hours of interviews.
Rights:: Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

32. DaMuEL 1.0: A Large Multilingual Dataset for Entity Linking

Creator:: Kubeša, David and Straka, Milan
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: entity linking, NEL, NER, dataset, and knowledge base
Language:: Afrikaans, Arabic, Armenian, Basque, Belarusian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Hebrew, Hindi, Hungarian, Indonesian, Irish, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Maltese, Marathi, Modern Greek (1453-), Northern Sami, Norwegian Nynorsk, Persian, Polish, Portuguese, Romanian, Russian, Scottish Gaelic, Serbian, Slovak, Slovenian, Spanish, Swedish, Tamil, Telugu, Uighur, Ukrainian, Urdu, Vietnamese, and Wolof
Description:: We present DaMuEL, a large Multilingual Dataset for Entity Linking containing data in 53 languages. DaMuEL consists of two components: a knowledge base that contains language-agnostic information about entities, including their claims from Wikidata and named entity types (PER, ORG, LOC, EVENT, BRAND, WORK_OF_ART, MANUFACTURED); and Wikipedia texts with entity mentions linked to the knowledge base, along with language-specific text from Wikidata such as labels, aliases, and descriptions, stored separately for each language. The Wikidata QID is used as a persistent, language-agnostic identifier, enabling the combination of the knowledge base with language-specific texts and information for each entity. Wikipedia documents deliberately annotate only a single mention for every entity present; we further automatically detect all mentions of named entities linked from each document. The dataset contains 27.9M named entities in the knowledge base and 12.3G tokens from Wikipedia texts. The dataset is published under the CC BY-SA licence.
Rights:: Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB

33. Deep Universal Dependencies 2.4

Creator:: Zeman, Daniel and Droganova, Kira
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: semantic dependency and universal dependencies
Language:: Afrikaans, Assyrian Neo-Aramaic, Akkadian, Amharic, Arabic, Belarusian, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Mandarin Chinese, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Finnish, French, Irish, Gothic, Ancient Greek (to 1453), Mbyá Guaraní, Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Komi-Zyrian, Karelian, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Erzya, Dutch, Norwegian, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, Warlpiri, Wolof, Yoruba, and Galician
Description:: Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-2988). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Rights:: Licence Universal Dependencies v2.4, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-UD-2.4, and PUB

34. Deep Universal Dependencies 2.5

Creator:: Zeman, Daniel and Droganova, Kira
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: semantic dependency and universal dependencies
Language:: Afrikaans, Assyrian Neo-Aramaic, Akkadian, Amharic, Arabic, Belarusian, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Mandarin Chinese, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Finnish, French, Irish, Gothic, Ancient Greek (to 1453), Mbyá Guaraní, Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Komi-Zyrian, Karelian, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Erzya, Dutch, Norwegian, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, Warlpiri, Wolof, Yoruba, Galician, Bhojpuri, Komi-Permyak, Livvi, Moksha, Scottish Gaelic, and Skolt Sami
Description:: Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3105). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Rights:: Licence Universal Dependencies v2.5, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-UD-2.5, and PUB

35. Deep Universal Dependencies 2.6

Creator:: Zeman, Daniel and Droganova, Kira
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: semantic dependency and universal dependencies
Language:: Afrikaans, Assyrian Neo-Aramaic, Akkadian, Amharic, Arabic, Belarusian, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Mandarin Chinese, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Finnish, French, Irish, Gothic, Ancient Greek (to 1453), Mbyá Guaraní, Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Komi-Zyrian, Karelian, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Erzya, Dutch, Norwegian, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, Warlpiri, Wolof, Yoruba, Galician, Bhojpuri, Komi-Permyak, Livvi, Moksha, Scottish Gaelic, Skolt Sami, Icelandic, Albanian, and Persian
Description:: Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3226). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Rights:: Licence Universal Dependencies v2.6, https://lindat.mff.cuni.cz/repository/xmlui/page/license-ud-2.6, and PUB

36. Deep Universal Dependencies 2.7

Creator:: Zeman, Daniel and Droganova, Kira
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: semantic dependency and universal dependencies
Language:: Afrikaans, Assyrian Neo-Aramaic, Akkadian, Amharic, Arabic, Belarusian, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Mandarin Chinese, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Finnish, French, Irish, Gothic, Ancient Greek (to 1453), Mbyá Guaraní, Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Komi-Zyrian, Karelian, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Erzya, Dutch, Norwegian, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, Warlpiri, Wolof, Yoruba, Galician, Bhojpuri, Komi-Permyak, Livvi, Moksha, Scottish Gaelic, Skolt Sami, Icelandic, Albanian, Persian, Akuntsu, Apurinã, Khunsari, Manx, Mundurukú, Nayini, Soi, South Levantine Arabic, and Tupinambá
Description:: Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3424). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Rights:: Licence Universal Dependencies v2.7, https://lindat.mff.cuni.cz/repository/xmlui/page/license-ud-2.7, and PUB

37. Deep Universal Dependencies 2.8

Creator:: Zeman, Daniel and Droganova, Kira
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: semantic dependency and universal dependencies
Language:: Afrikaans, Assyrian Neo-Aramaic, Akkadian, Amharic, Arabic, Belarusian, Breton, Bulgarian, Russia Buriat, Catalan, Czech, Church Slavic, Mandarin Chinese, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Finnish, French, Irish, Gothic, Ancient Greek (to 1453), Mbyá Guaraní, Hebrew, Hindi, Croatian, Upper Sorbian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Northern Kurdish, Korean, Komi-Zyrian, Karelian, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Erzya, Dutch, Norwegian, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Tagalog, Turkish, Ukrainian, Urdu, Vietnamese, Warlpiri, Wolof, Yoruba, Galician, Bhojpuri, Komi-Permyak, Livvi, Moksha, Scottish Gaelic, Skolt Sami, Icelandic, Albanian, Persian, Akuntsu, Apurinã, Khunsari, Manx, Mundurukú, Nayini, Soi, South Levantine Arabic, Tupinambá, Beja, Western Frisian, Urubú-Kaapor, Kangri, K'iche', Low German, Makuráp, Western Armenian, and Central Siberian Yupik
Description:: Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3687). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Rights:: Licence Universal Dependencies v2.8, https://lindat.mff.cuni.cz/repository/xmlui/page/license-ud-2.8, and PUB

38. Deltacorpus

Creator:: Mareček, David, Yu, Zhiwei, Zeman, Daniel, and Žabokrtský, Zdeněk
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: part of speech, tagging, semi-supervised, and cross-language
Language:: Belarusian, Bosnian, Bulgarian, Czech, Serbo-Croatian, Croatian, Upper Sorbian, Macedonian, Polish, Russian, Slovak, Slovenian, Serbian, Ukrainian, Latvian, Lithuanian, Afrikaans, Danish, German, English, Faroese, Western Frisian, Swiss German, Icelandic, Limburgan, Luxembourgish, Low German, Dutch, Norwegian Nynorsk, Norwegian, Scots, Swedish, Yiddish, Aragonese, Asturian, Catalan, French, Galician, Haitian, Italian, Latin, Lombard, Neapolitan, Piemontese, Portuguese, Romanian, Spanish, Venetian, Walloon, Breton, Welsh, Scottish Gaelic, Irish, Modern Greek (1453-), Armenian, Albanian, Dimli (individual language), Persian, Gilaki, Kurdish, Tajik, Bengali, Bishnupriya, Gujarati, Fiji Hindi, Hindi, Marathi, Nepali (macrolanguage), Urdu, Amharic, Arabic, Egyptian Arabic, Hebrew, Estonian, Finnish, Hungarian, Basque, Georgian, Chuvash, Azerbaijani, Turkish, Uzbek, Kazakh, Tatar, Yakut, Korean, Mongolian, Telugu, Kannada, Malayalam, Tamil, Newari, Vietnamese, Indonesian, Javanese, Malagasy, Maori, Malay (macrolanguage), Pampanga, Sundanese, Tagalog, Waray (Philippines), Swahili (macrolanguage), Esperanto, Ido, Interlingua (International Auxiliary Language Association), and Volapük
Description:: Texts in 107 languages from the W2C corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9), first 1,000,000 tokens per language, tagged by the delexicalized tagger described in Yu et al. (2016, LREC, Portorož, Slovenia).
Rights:: Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB

39. Deltacorpus 1.1

Creator:: Mareček, David, Yu, Zhiwei, Zeman, Daniel, and Žabokrtský, Zdeněk
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: part of speech, tagging, semi-supervised, and cross-language
Language:: Belarusian, Bosnian, Bulgarian, Czech, Serbo-Croatian, Croatian, Upper Sorbian, Macedonian, Polish, Russian, Slovak, Slovenian, Serbian, Ukrainian, Latvian, Lithuanian, Afrikaans, Danish, German, English, Faroese, Western Frisian, Swiss German, Icelandic, Limburgan, Luxembourgish, Low German, Dutch, Norwegian Nynorsk, Norwegian, Scots, Swedish, Yiddish, Aragonese, Asturian, Catalan, French, Galician, Haitian, Italian, Latin, Lombard, Neapolitan, Piemontese, Portuguese, Romanian, Spanish, Venetian, Walloon, Breton, Welsh, Scottish Gaelic, Irish, Modern Greek (1453-), Armenian, Albanian, Dimli (individual language), Persian, Gilaki, Kurdish, Tajik, Bengali, Bishnupriya, Gujarati, Fiji Hindi, Hindi, Marathi, Nepali (macrolanguage), Urdu, Amharic, Arabic, Egyptian Arabic, Hebrew, Estonian, Finnish, Hungarian, Basque, Georgian, Chuvash, Azerbaijani, Turkish, Uzbek, Kazakh, Tatar, Yakut, Korean, Mongolian, Telugu, Kannada, Malayalam, Tamil, Newari, Vietnamese, Indonesian, Javanese, Malagasy, Maori, Malay (macrolanguage), Pampanga, Sundanese, Tagalog, Waray (Philippines), Swahili (macrolanguage), Esperanto, Ido, Interlingua (International Auxiliary Language Association), and Volapük
Description:: Texts in 107 languages from the W2C corpus (http://hdl.handle.net/11858/00-097C-0000-0022-6133-9), first 1,000,000 tokens per language, tagged by the delexicalized tagger described in Yu et al. (2016, LREC, Portorož, Slovenia). Changes in version 1.1: 1. Universal Dependencies tagset instead of the older and smaller Google Universal POS tagset. 2. SVM classifier trained on Universal Dependencies 1.2 instead of HamleDT 2.0. 3. Balto-Slavic languages, Germanic languages and Romance languages were tagged by classifier trained only on the respective group of languages. Other languages were tagged by a classifier trained on all available languages. The "c7" combination from version 1.0 is no longer used.
Rights:: Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0), http://creativecommons.org/licenses/by-sa/4.0/, and PUB

40. DiscoMT 2016 Shared Task on Cross-lingual Pronoun Prediction

Creator:: Guillou, Liane, Hardmeier, Christian, Nakov, Preslav, Stymne, Sara, Tiedemann, Jörg, Versley, Yannick, Cettolo, Mauro, Webber, Bonnie, and Popescu-Belis, Andrei
Publisher:: Uppsala University
Type:: text and corpus
Subject:: machine translation, coreference, discourse, and pronouns
Language:: English, French, and German
Description:: Files for the DiscoMT 2016 shared task on cross-lingual pronoun prediction
Rights:: Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

41. DiscoMT 2017 Shared Task on Cross-lingual Pronoun Prediction

Creator:: Loáiciga, Sharid, Stymne, Sara, Nakov, Preslav, Hardmeier, Christian, Tiedemann, Jörg, Cettolo, Mauro, and Versley, Yannick
Publisher:: Uppsala University
Type:: text and corpus
Subject:: machine translation, discourse, coreference, and pronouns
Language:: English, Spanish, German, and French
Description:: Data used in the 2017 shared task on cross-lingual pronoun prediction.
Rights:: Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

42. Edvard Beneš Addresses the German Minority

Creator:: Aktualita
Publisher:: Národní filmový archiv
Type:: video and clip
Subject:: projev Beneš Edvard, projev rozhlasový, projev veřejný, Mnichovská dohoda, People::Beneš Edvard (1884-1948), and Československý zvukový týdeník Aktualita::1938/38
Language:: German
Description:: The segment of Československý zvukový týdeník Aktualita (Czechoslovak Aktualita Sound Newsreel), 1938, issue no. 38 offers an excerpt from the radio speech delivered by President Edvard Beneš on 10 September 1938, in which he addresses the German minority in Czechoslovakia.
Rights:: http://creativecommons.org/licenses/by-nc-nd/4.0/, PUB, and Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

43. ESIC 1.0 -- Europarl Simultaneous Interpreting Corpus

Creator:: Macháček, Dominik, Žilinec, Matúš, and Bojar, Ondřej
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: audio and corpus
Subject:: simultaneous interpreting, interpreting, ASR evaluation, automatic machine translation evaluation, and Europarl
Language:: English, Czech, and German
Description:: ESIC (Europarl Simultaneous Interpreting Corpus) is a corpus of 370 speeches (10 hours) in English, with manual transcripts, transcribed simultaneous interpreting into Czech and German, and parallel translations. The corpus contains source English videos and audios. The interpreters' voices are not published within the corpus, but there is a tool that downloads them from the web of European Parliament, where they are publicly avaiable. The transcripts are equipped with metadata (disfluencies, mixing voices and languages, read or spontaneous speech, etc.), punctuated, and with word-level timestamps. The speeches in the corpus come from the European Parliament plenary sessions, from the period 2008-11. Most of the speakers are MEP, both native and non-native speakers of English. The corpus contains metadata about the speakers (name, surname, id, fraction) and about the speech (date, topic, read or spontaneous). The current version of ESIC is v1.0. It has validation and evaluation parts.
Rights:: Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB

44. ESIC 1.1 -- Europarl Simultaneous Interpreting Corpus (2024-02-05)

Creator:: Macháček, Dominik, Žilinec, Matúš, and Bojar, Ondřej
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: audio and corpus
Subject:: simultaneous interpreting, interpreting, ASR evaluation, automatic machine translation evaluation, and Europarl
Language:: English, Czech, and German
Description:: ESIC (Europarl Simultaneous Interpreting Corpus) is a corpus of 370 speeches (10 hours) in English, with manual transcripts, transcribed simultaneous interpreting into Czech and German, and parallel translations. The corpus contains source English videos and audios. The interpreters' voices are not published within the corpus, but there is a tool that downloads them from the web of European Parliament, where they are publicly avaiable. The transcripts are equipped with metadata (disfluencies, mixing voices and languages, read or spontaneous speech, etc.), punctuated, and with word-level timestamps. The speeches in the corpus come from the European Parliament plenary sessions, from the period 2008-11. Most of the speakers are MEP, both native and non-native speakers of English. The corpus contains metadata about the speakers (name, surname, id, fraction) and about the speech (date, topic, read or spontaneous). ESIC has validation and evaluation parts. The current version is ESIC v1.1, it extends v1.0 with manual sentence alignment of the tri-parallel texts, and with bi-parallel sentence alignment of English original transcripts and German interpreting.
Rights:: Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB

45. Extended CLEF eHealth 2013-2015 IR Test Collection

Creator:: Pecina, Pavel and Saleh, Shadi
Publisher:: Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:: text and corpus
Subject:: cross-lingual information retrieval and machine translation
Language:: English, Czech, French, German, Hungarian, Polish, Spanish, and Swedish
Description:: This package contains an extended version of the test collection used in the CLEF eHealth Information Retrieval tasks in 2013--2015. Compared to the original version, it provides complete query translations into Czech, French, German, Hungarian, Polish, Spanish and Swedish and additional relevance assessment.
Rights:: Creative Commons - Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), http://creativecommons.org/licenses/by-nc/4.0/, and PUB

46. Fráňa Vodička (film professional)

Creator:: Veselý, Bohumil
Publisher:: Národní filmový archiv
Type:: video and clip
Subject:: Galerie osobností and People::Vodička Fráňa (1894-1947)
Language:: German
Description:: Footage of Václav Wassermann's brother, film professional Fráňa Vodička
Rights:: http://creativecommons.org/licenses/by-nc-nd/4.0/, PUB, and Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

47. Gender-fair language on the websites of German, Austrian, Swiss and South Tyrolean cities

Creator:: Müller-Spitzer, Carolin and Ochs, Samira
Publisher:: IDS Mannheim
Type:: text and corpus
Subject:: gender-fair language, websites, personal designations, gender-inclusive language, and gender linguistics
Language:: German
Description:: Annotated dataset consisting of personal designations found on websites of 42 German, Austrian, Swiss and South Tyrolean cities. Our goal is to re-evaluate the websites every year in order to see how the use of gender-fair language develops over time. The dataset contains coordinates for the creation of map material.
Rights:: Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB

48. HamleDT 3.0

Creator:: Zeman, Daniel, Mareček, David, Mašek, Jan, Popel, Martin, Ramasamy, Loganathan, Rosa, Rudolf, Štěpánek, Jan, and Žabokrtský, Zdeněk
Publisher:: Charles University
Type:: text and corpus
Subject:: annotated corpus, morphology, syntax, dependency, treebank, harmonized annotation, and common annotation style
Language:: Arabic, Basque, Bengali, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Modern Greek (1453-), Ancient Greek (to 1453), Hebrew, Hindi, Hungarian, Indonesian, Irish, Italian, Japanese, Latin, Persian, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Tamil, Telugu, and Turkish
Description:: HamleDT (HArmonized Multi-LanguagE Dependency Treebank) is a compilation of existing dependency treebanks (or dependency conversions of other treebanks), transformed so that they all conform to the same annotation style. This version uses Universal Dependencies as the common annotation style. Update (November 1017): for a current collection of harmonized dependency treebanks, we recommend using the Universal Dependencies (UD). All of the corpora that are distributed in HamleDT in full are also part of the UD project; only some corpora from the Patch group (where HamleDT provides only the harmonizing scripts but not the full corpus data) are available in HamleDT but not in UD.
Rights:: HamleDT 3.0 License Terms, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-hamledt-3.0, and PUB

49. Hana Vítová (actress)

Creator:: Aktualita and Veselý, Bohumil
Publisher:: Národní filmový archiv
Type:: video and clip
Subject:: film Valentin Dobrotivý ukázka, Galerie osobností, People::Vítová Hana (1914-1987), People::Nový Oldřich (1899-1983), and Český zvukový týdeník Aktualita::1942/49
Language:: German and Czech
Description:: Actress Hana Vítová in an unidentified German film (sound). Vítová with actor Oldřich Nový in Valentin Dobrotivý (Valentin the Good, dir. Martin Frič, 1942). Vítová with her husband, critic Bedřich Rádl, in a segment from Československý zvukový týdeník Aktualita (Czechoslovak Aktualita Sound Newsreel) 1942, issue no. 49.
Rights:: http://creativecommons.org/licenses/by-nc-nd/4.0/, PUB, and Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

50. HetWiK: Heterogene Widerstandskulturen

Creator:: Schuster, Britt-Marie, Markewitz, Friedrich, Wilk, Nicole M., Schröder, Sarah, and Rüdiger, Jan Oliver
Publisher:: Universität Paderborn
Type:: text and corpus
Subject:: corpus, annotated corpus, Widerstand, Widerstandskorpus, Jüngere Sprachgeschichte, Kommunikationsgeschichte, Nationalsozialismus, Sprachliche Praktiken, Soziale Identität, Beziehungskonstitution, Faktizitätsherstellung, Argumentieren, Direktiva, resistance, resistance corpus, recent language history, communication history, National Socialism, linguistic practices, social identity, relationship formation, creating facticity, argumentation, directive speech acts, and speech act
Language:: German
Description:: The representative full-text digitalized HetWiK corpus is composed of 140 manually annotated texts of the German Resistance between 1933 and 1945. This includes both well-known and relatively unknown documents, public writings, like pamphlets or memoranda, as well as private texts, e.g. letters, journal or prison entries and biographies. Thus the corpus represents the diverse groups as well as the heterogeneity of verbal resistance and allows the study of resistance in relation to the language usage. The HetWiK corpus can be used free of charge. A detailed register of the individual texts and further information about the tagset can be found on the project-homepage (german). In addition to the CATMA5 XML-format we provide a standoff-JSON format and CEC6-Files (CorpusExplorer) - so you can export the HetWiK corpus in different formats.
Rights:: Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), http://creativecommons.org/licenses/by-nc-sa/4.0/, and PUB

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