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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. CoCzeFLA Chroma 2022.07
- Creator:
- Chromá, Anna and Matiasovitsová, Klára
- Publisher:
- Faculty of Arts, Charles Univesity
- Type:
- text and corpus
- Subject:
- first language acquisition, typical development, and monolingual corpus
- Language:
- Czech
- Description:
- Transcripts of longitudinal audio recordings of 7 Czech typical monolingual children between 1;7 to 3;9. Files are in plain text with UTF-8 encoding. Each file represents one recording session of one of the target children and is named with the presudonym of the child and her age at the given session in form YMMDD. Transcription rules and other details are to find on the homepage coczefla.ff.cuni.cz.
- 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
6. CoCzeFLA Chroma 2023.04
- Creator:
- Chromá, Anna, Matiasovitsová, Klára, Sláma, Jakub, and Treichelová, Jolana
- Publisher:
- Charles University, Faculty of Arts
- Type:
- text and corpus
- Subject:
- first language acquisition, typical development, longitudinal corpus, and Czech
- Language:
- Czech
- Description:
- A new version of the previously published corpus Chroma. The version 2023.04 includes six children. Two transcripts (Julie20221, Klara30424) were removed since they did not meet the criteria on the dialogical format. The transcripts were revised (eliminating typing errors and inconsistencies in the transcription format) and morphologically annotated by the automatic tool MorphoDiTa. Detailed manual control of the annotation was performed on children's utterances; the annotation of adult data was not checked yet. Files are in plain text with UTF-8 encoding. Each file represents one recording session of one of the target children and is named with the alias of the child and their age at the given session in form YMMDD. Transcription rules and other details can be found on the homepage coczefla.ff.cuni.cz.
- 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
7. CoCzeFLA Chroma 2023.07
- Creator:
- Chromá, Anna, Sláma, Jakub, Matiasovitsová, Klára, and Kohoutková, Jolana
- Publisher:
- Charles University, Faculty of Arts
- Type:
- text and corpus
- Subject:
- first language acquisition, typical development, longitudinal corpus, and Czech
- Language:
- Czech
- Description:
- A new version of the previously published corpus Chroma wih morphological annotation. The version 2023.07 differs from 2023.04 in that it includes all seven children and it went through an additional careful check of consistency and conformity to the CHAT transcription principles. Two transcripts (Julie20221, Klara30424) from the previous versions (2022.07, 2019.07) were removed since they did not meet our criteria on dialogical format. All transcripts of recordings made during one day were split into one file. Thus, version 2023.07 consists of 183 files/transcripts. The number of utterances and tokens given here in LINDAT corresponds to children's lines only. Files are in plain text with UTF-8 encoding. Each file represents one recording session of one of the target children and is named with the alias of the child and their age at the given session in form YMMDD. Transcription rules and other details can be found on the homepage coczefla.ff.cuni.cz.
- 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
8. CoNLL-based Extended Czech Named Entity Corpus 1.0
- Creator:
- Konkol, Michal, Konopík, Miloslav, Ševčíková, Magda, Žabokrtský, Zdeněk, and Straková, Jana
- Publisher:
- University of West Bohemia
- Type:
- text and corpus
- Subject:
- named entity recognition, Czech, and conll
- Language:
- Czech
- Description:
- This is a Czech Named Entity Corpus 1.0 transformed into the CoNLL format. The original corpus can be downloaded from: http://hdl.handle.net/11858/00-097C-0000-0023-1B04-C. The CoNLL transformation is described in this publication: https://link.springer.com/chapter/10.1007/978-3-642-40585-3_20.
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
9. CoNLL-based Extended Czech Named Entity Corpus 2.0
- Creator:
- Konkol, Michal, Konopík, Miloslav, Ševčíková, Magda, Žabokrtský, Zdeněk, Straková, Jana, and Straka, Milan
- Publisher:
- University of West Bohemia
- Type:
- text and corpus
- Subject:
- named entity recognition and Czech
- Language:
- Czech
- Description:
- This is a Czech Named Entity Corpus 2.0 transformed into the CoNLL format. The original corpus can be downloaded from: http://hdl.handle.net/11858/00-097C-0000-0023-1B22-8. The CoNLL transformation is described in this publication: https://link.springer.com/chapter/10.1007/978-3-642-40585-3_20.
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
10. 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
11. 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
12. 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
13. 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
14. CUBBITT Translation Models (en-cs) (v1.0)
- Creator:
- Popel, Martin, Tomková, Markéta, Tomek, Jakub, Kaiser, Łukasz, Uszkoreit, Jakob, Bojar, Ondřej, and Žabokrtský, Zdeněk
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- machine translation, neural machine translation, transformer, and cubbitt
- Language:
- English and Czech
- Description:
- CUBBITT En-Cs translation models, exported via TensorFlow Serving, available in the Lindat translation service (https://lindat.mff.cuni.cz/services/translation/). Models are compatible with Tensor2tensor version 1.6.6. For details about the model training (data, model hyper-parameters), please contact the archive maintainer. Evaluation on newstest2014 (BLEU): en->cs: 27.6 cs->en: 34.4 (Evaluated using multeval: https://github.com/jhclark/multeval)
- 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
15. Czech and English abstracts of ÚFAL papers (2022-11-11)
- Creator:
- Rosa, Rudolf and Zouhar, Vilém
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- parallel corpus, scientific texts, and abstracts
- Language:
- Czech and English
- Description:
- This is a parallel corpus of Czech and mostly English abstracts of scientific papers and presentations published by authors from the Institute of Formal and Applied Linguistics, Charles University in Prague. For each publication record, the authors are obliged to provide both the original abstract (in Czech or English), and its translation (English or Czech) in the internal Biblio system. The data was filtered for duplicates and missing entries, ensuring that every record is bilingual. Additionally, records of published papers which are indexed by SemanticScholar contain the respective link. The dataset was created from September 2022 image of the Biblio database and is stored in JSONL format, with each line corresponding to one record.
- Rights:
- Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB
16. Czech Models (MorfFlex CZ 2.0 + PDT-C 1.0) for MorphoDiTa 220710
- Creator:
- Straka, Milan and Straková, Jana
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, languageDescription, and mlmodel
- Subject:
- MorphoDiTa, Czech, morphological analysis, morphological generation, and PoS tagging
- Language:
- Czech
- Description:
- Czech models for MorphoDiTa, providing morphological analysis, morphological generation and part-of-speech tagging. The morphological dictionary is created from MorfFlex CZ 2.0, DeriNet 2.1 and the PoS tagger is trained on Prague Dependency Treebank - Consolidated 1.0. and This work has been using language resources developed and/or stored and/or distributed by the LINDAT/CLARIN project of the Ministry of Education of the Czech Republic (project LM2010013). The Czech morphologic system was devised by Jan Hajič. The MorfFlex CZ dictionary was created by Jan Hajič and Jaroslava Hlaváčová. The morphologic guesser research was supported by the projects 1ET101120503 and 1ET101120413 of Academy of Sciences of the Czech Republic and 100008/2008 of Charles University Grant Agency. The research was performed by Jan Hajič, Jaroslava Hlaváčová and David Kolovratník. The tagger algorithm and feature set research was supported by the projects MSM0021620838 and LC536 of Ministry of Education, Youth and Sports of the Czech Republic, GA405/09/0278 of the Grant Agency of the Czech Republic and 1ET101120503 of Academy of Sciences of the Czech Republic. The research was performed by Drahomíra "johanka" Spoustová, Jan Hajič, Jan Raab and Miroslav Spousta. The tagger is trained on morphological layer of Prague Dependency Treebank PDT 2.5, which was supported by the projects LM2010013, LC536, LN00A063 and MSM0021620838 of Ministry of Education, Youth and Sports of the Czech Republic, and developed by Martin Buben, Jan Hajič, Jiří Hana, Hana Hanová, Barbora Hladká, Emil Jeřábek, Lenka Kebortová, Kristýna Kupková, Pavel Květoň, Jiří Mírovský, Andrea Pfimpfrová, Jan Štěpánek and Daniel Zeman.
- 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
17. Czech Translation of SQuAD 2.0 and 1.1
- Creator:
- Macková, Kateřina and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- SQuAD and reading comprehension
- Language:
- Czech
- Description:
- The Czech translation of SQuAD 2.0 and SQuAD 1.1 datasets contains automatically translated texts, questions and answers from the training set and the development set of the respective datasets. The test set is missing, because it is not publicly available. The data is released under the CC BY-NC-SA 4.0 license. If you use the dataset, please cite the following paper (the exact format was not available during the submission of the dataset): Kateřina Macková and Straka Milan: Reading Comprehension in Czech via Machine Translation and Cross-lingual Transfer, presented at TSD 2020, Brno, Czech Republic, September 8-11 2020.
- 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
18. Czech Web Corpus 2017 (csTenTen17)
- Creator:
- Suchomel, Vít
- Publisher:
- Masaryk University, NLP Centre and Lexical Computing CZ s.r.o.
- Type:
- text and corpus
- Subject:
- Web corpus
- Language:
- Czech
- Description:
- The Czech Web Corpus 2017 (csTenTen17) is a Czech corpus made up of texts collected from the Internet, mostly from the Czech national top level domain ".cz". The data was crawled by web crawler SpiderLing (https://corpus.tools/wiki/SpiderLing). The data was cleaned by removing boilerplate (using https://corpus.tools/wiki/Justext), removing near-duplicate paragraphs (by https://corpus.tools/wiki/Onion) and discarding paragraphs not in the target language. The corpus was POS annotated by morphological analyser Majka using this POS tagset: https://www.sketchengine.eu/tagset-reference-for-czech/. Text sources: General web, Wikipedia. Time span of crawling: May, October and November 2017, October and November 2016, October and November 2015. The Czech Wikipedia part was downloaded in November 2017. Data format: Plain text, vertical (one token per line), gzip compressed. There are the following structures in the vertical: Documents (<doc/>, usually corresponding to web pages), paragraphs (<p/>), sentences (<s/>) and word join markers (<g/>, a "glue" tag indicating that there was no space between the surrounding tokens in the original text). Document metadata: src (the source of the data), title (the title of the web page), url (the URL of the document), crawl_date (the date of downloading the document). Paragraph metadata: heading ("1" if the paragraph is a heading, usually <h1> to <h6> elements in the original HTML data). Block elements in the case of an HTML source or double blank lines in the case of other source formats were used as paragraph separators. An internal heuristic tool was used to mark sentence breaks. The tab-separated positional attributes are: word form, morphological annotation, lem-POS (the base form of the word, i.e. the lemma, with a part of speech suffix) and gender respecting lemma (nouns and adjectives only). Please cite the following paper when using the corpus for your research: Suchomel, Vít. csTenTen17, a Recent Czech Web Corpus. In Recent Advances in Slavonic Natural Language Processing, pp. 111–123. 2018. (https://nlp.fi.muni.cz/raslan/raslan18.pdf#page=119)
- Rights:
- NLP Centre Web Corpus License, https://lindat.mff.cuni.cz/repository/xmlui/page/license-NLPC-WeC, and ACA
19. 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
20. 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
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