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12. Collection of Latvian proverbs
- Publisher:
- Archives of Latvian Folklore, Institute of Literature, Folklore and Art, University of Latvia and Institute of Mathematics and Computer Science, University of Latvia
- Type:
- corpus
- Language:
- Latvian
- Description:
- Latvian proverbs collected by Archives of Latvian Folklore (~ 20 000 items)
- Rights:
- Not specified
13. Concise dictionary of Latvian
- Publisher:
- Institute of Mathematics and Computer Science, University of Latvia
- Format:
- application/xml
- Type:
- lexicalConceptualResource
- Language:
- Latvian
- Description:
- > 25 000 entries
- Rights:
- Not specified
14. 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
15. 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
16. 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
17. Corpus "Miljons"
- Publisher:
- Institute of Mathematics and Computer Science, University of Latvia
- Format:
- text/plain
- Type:
- corpus
- Subject:
- balanced corpus
- Language:
- Latvian
- Description:
- Balanced corpus of Modern Latvian (~ 1 million running words, currently in plain-text), publicly available via Bonito interface
- Rights:
- Not specified
18. Corpus "Plāns ledus"
- Publisher:
- Institute of Mathematics and Computer Science, University of Latvia
- Format:
- text/sgml
- Type:
- corpus
- Language:
- Latvian
- Description:
- Morphologically tagged and lemmatized text sample (> 16 000 running words), publicly available via Bonito interface and http://www.korpuss.lv/uzzinas/plans_ledus.pdf
- Rights:
- Not specified
19. Corpus for training and evaluating diacritics restoration systems
- Creator:
- Náplava, Jakub, Straka, Milan, Hajič, Jan, and Straňák, Pavel
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- diacritical marks generation and natural language correction
- Language:
- Czech, Vietnamese, Romanian, Polish, Slovak, Spanish, Croatian, Irish, Latvian, Hungarian, French, and Turkish
- Description:
- Corpus of texts in 12 languages. For each language, we provide one training, one development and one testing set acquired from Wikipedia articles. Moreover, each language dataset contains (substantially larger) training set collected from (general) Web texts. All sets, except for Wikipedia and Web training sets that can contain similar sentences, are disjoint. Data are segmented into sentences which are further word tokenized. All data in the corpus contain diacritics. To strip diacritics from them, use Python script diacritization_stripping.py contained within attached stripping_diacritics.zip. This script has two modes. We generally recommend using method called uninames, which for some languages behaves better. The code for training recurrent neural-network based model for diacritics restoration is located at https://github.com/arahusky/diacritics_restoration.
- 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
20. 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