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Start Over Language Spanish Harvested from LINDAT/CLARIAH-CZ repository

72. ParaCrawl Corpus version 1.0

Creator:
Koehn, Philipp, Heafield, Kenneth, Forcada, Mikel L., Esplà-Gomis, Miquel, Ortiz-Rojas, Sergio, Sánchez, Gema Ramírez, Cartagena, Víctor M. Sánchez, Haddow, Barry, Bañón, Marta, Střelec, Marek, Samiotou, Anna, and Kamran, Amir
Publisher:
ParaCrawl
Type:
text and corpus
Subject:
ParaCrawl, parallel corpus, CommonCrawl, machine translation, and text corpora
Language:
English, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Czech, Romanian, Finnish, Latvian, Russian, and Estonian
Description:
The January 2018 release of the ParaCrawl is the first version of the corpus. It contains parallel corpora for 11 languages paired with English, crawled from a large number of web sites. The selection of websites is based on CommonCrawl, but ParaCrawl is extracted from a brand new crawl which has much higher coverage of these selected websites than CommonCrawl. Since the data is fairly raw, it is released with two quality metrics that can be used for corpus filtering. An official "clean" version of each corpus uses one of the metrics. For more details and raw data download please visit: http://paracrawl.eu/releases.html
Rights:
Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

73. PARSEME corpora annotated for verbal multiword expressions (version 1.3)

Creator:
Savary, Agata, Ramisch, Carlos, Guillaume, Bruno, Hawwari, Abdelati, Walsh, Abigail, Fotopoulou, Aggeliki, Bielinskienė, Agnė, Estarrona, Ainara, Gatt, Albert, Butler, Alexandra, Rademaker, Alexandre, Maldonado, Alfredo, Villavicencio, Aline, Farrugia, Alison, Muscat, Amanda, Gatt, Anabelle, Antić, Anđela, De Santis, Anna, Raffone, Annalisa, Riccio, Anna, Pascucci, Antonio, Gurrutxaga, Antton, Bhatia, Archna, Vaidya, Ashwini, Miral, Ayşenur, QasemiZadeh, Behrang, Priego Sanchez, Belem, Griciūtė, Bernadeta, Erden, Berna, Parra Escartín, Carla, Herrero, Carlos, Carlino, Carola, Pasquer, Caroline, Liebeskind, Chaya, Wang, Chenweng, Ben Khelil, Chérifa, Bonial, Claire, Somers, Clarissa, Aceta, Cristina, Krstev, Cvetana, Bejček, Eduard, Lindqvist, Ellinor, Erenmalm, Elsa, Palka-Binkiewicz, Emilia, Rimkute, Erika, Petterson, Eva, Cap, Fabienne, Hu, Fangyuan, Sangati, Federico, Wick Pedro, Gabriela, Speranza, Giulia, Jagfeld, Glorianna, Blagus, Goranka, Berk, Gözde, Attard, Greta, Eryiğit, Gülşen, Finnveden, Gustav, Martínez Alonso, Héctor, de Medeiros Caseli, Helena, Elyovich, Hevi, Xu, Hongzhi, Xiao, Huangyang, Miranda, Isaac, Jaknić, Isidora, El Maarouf, Ismail, Aduriz, Itziar, Gonzalez, Itziar, Matas, Ivana, Stoyanova, Ivelina, Jazbec, Ivo-Pavao, Busuttil, Jael, Waszczuk, Jakub, Findlay, Jamie, Bonnici, Janice, Šnajder, Jan, Antoine, Jean-Yves, Foster, Jennifer, Chen, Jia, Nivre, Joakim, Monti, Johanna, McCrae, John, Kovalevskaitė, Jolanta, Jain, Kanishka, Simkó, Katalin, Yu, Ke, Azzopardi, Kirsty, Adalı, Kübra, Uria, Larraitz, Zilio, Leonardo, Boizou, Loïc, van der Plas, Lonneke, Galea, Luke, Sarlak, Mahtab, Buljan, Maja, Cherchi, Manuela, Tanti, Marc, Di Buono, Maria Pia, Todorova, Maria, Candito, Marie, Constant, Matthieu, Shamsfard, Mehrnoush, Jiang, Menghan, Boz, Mert, Spagnol, Michael, Onofrei, Mihaela, Li, Minli, Elbadrashiny, Mohamed, Diab, Mona, Rizea, Monica-Mihaela, Hadj Mohamed, Najet, Theoxari, Natasa, Schneider, Nathan, Tabone, Nicole, Ljubešić, Nikola, Vale, Oto, Cook, Paul, Yan, Peiyi, Gantar, Polona, Ehren, Rafael, Fabri, Ray, Ibrahim, Rehab, Ramisch, Renata, Walles, Rinat, Wilkens, Rodrigo, Urizar, Ruben, Sun, Ruilong, Malka, Ruth, Galea, Sara Anne, Stymne, Sara, Louizou, Sevasti, Hu, Sha, Taslimipoor, Shiva, Ratori, Shraddha, Srivastava, Shubham, Cordeiro, Silvio Ricardo, Krek, Simon, Liu, Siyuan, Zeng, Si, Yu, Songping, Arhar Holdt, Špela, Markantonatou, Stella, Papadelli, Stella, Leseva, Svetlozara, Kuzman, Taja, Kavčič, Teja, Lynn, Teresa, Lichte, Timm, Pickard, Thomas, Dimitrova, Tsvetana, Yih, Tsy, Güngör, Tunga, Dinç, Tutkum, Iñurrieta, Uxoa, Tajalli, Vahide, Stefanova, Valentina, Caruso, Valeria, Puri, Vandana, Foufi, Vassiliki, Barbu Mititelu, Verginica, Vincze, Veronika, Kovács, Viktória, Shukla, Vishakha, Giouli, Voula, Ge, Xiaomin, Ha-Cohen Kerner, Yaakov, Öztürk, Yağmur, Yarandi, Yalda, Parmentier, Yannick, Zhang, Yongchen, Zhao, Yun, Urešová, Zdeňka, Yirmibeşoğlu, Zeynep, Qin, Zhenzhen, Stank, Cristescu, Mihaela, Zgreabăn, Bianca-Mădălina, Bărbulescu, Elena-Andreea, and Stanković, Ranka
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:
Arabic, Bulgarian, Czech, German, Modern Greek (1453-), English, Spanish, Basque, Persian, French, Irish, Hebrew, Hindi, Croatian, Hungarian, Lithuanian, Italian, Maltese, Polish, Portuguese, Romanian, Slovenian, Serbian, Swedish, Turkish, and Chinese
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). This is the first release of the corpora without an associated shared task. Previous version (1.2) was associated with the PARSEME Shared Task on semi-supervised Identification of Verbal MWEs (2020). The data covers 26 languages corresponding to the combination of the corpora for all previous three editions (1.0, 1.1 and 1.2) of the corpora. 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, ­­­­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). All corpora are split into training, development and test data, following the splitting strategy adopted for the PARSEME Shared Task 1.2. The annotation guidelines are available online: https://parsemefr.lis-lab.fr/parseme-st-guidelines/1.3 The .cupt format is detailed here: https://multiword.sourceforge.net/cupt-format/
Rights:
PARSEME Corpora v. 1.3 - Licence Agreement, https://lindat.mff.cuni.cz/repository/xmlui/page/licence-mwe-1.3, and PUB

74. Plaintext Wikipedia dump 2018

Creator:
Rosa, Rudolf
Publisher:
Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Type:
text and corpus
Subject:
Wikipedia, text corpora, and monolingual corpus
Language:
Abkhazian, Achinese, Adyghe, Afrikaans, Akan, Tosk Albanian, Amharic, Old English (ca. 450-1100), Arabic, Official Aramaic (700-300 BCE), Aragonese, Egyptian Arabic, Assamese, Asturian, Atikamekw, Avaric, Aymara, South Azerbaijani, Azerbaijani, Bashkir, Bambara, Bavarian, Central Bikol, Belarusian, Bengali, Bislama, Banjar, Tibetan, Bosnian, Bishnupriya, Breton, Buginese, Bulgarian, Russia Buriat, Catalan, Min Dong Chinese, Cebuano, Czech, Chamorro, Chechen, Cherokee, Church Slavic, Chuvash, Cheyenne, Central Kurdish, Cornish, Corsican, Cree, Crimean Tatar, Kashubian, Welsh, Danish, German, Dinka, Dimli (individual language), Dhivehi, Lower Sorbian, Dzongkha, Modern Greek (1453-), English, Esperanto, Estonian, Basque, Ewe, Extremaduran, Faroese, Persian, Fijian, Finnish, French, Arpitan, Northern Frisian, Western Frisian, Fulah, Friulian, Gagauz, Gan Chinese, Scottish Gaelic, Irish, Galician, Gilaki, Manx, Goan Konkani, Gothic, Guarani, Gujarati, Hakka Chinese, Haitian, Hausa, Hawaiian, Serbo-Croatian, Hebrew, Herero, Fiji Hindi, Hindi, Hiri Motu, Croatian, Upper Sorbian, Hungarian, Armenian, Igbo, Ido, Inuktitut, Interlingue, Iloko, Interlingua (International Auxiliary Language Association), Indonesian, Inupiaq, Icelandic, Italian, Jamaican Creole English, Javanese, Lojban, Japanese, Kara-Kalpak, Kabyle, Kalaallisut, Kannada, Kashmiri, Georgian, Kanuri, Kazakh, Kabardian, Kabiyè, Khmer, Kikuyu, Kinyarwanda, Kirghiz, Komi-Permyak, Komi, Kongo, Korean, Karachay-Balkar, Kölsch, Kurdish, Ladino, Lao, Latin, Latvian, Lak, Lezghian, Ligurian, Limburgan, Lingala, Lithuanian, Lombard, Northern Luri, Latgalian, Luxembourgish, Ganda, Literary Chinese, Marshallese, Maithili, Malayalam, Marathi, Moksha, Eastern Mari, Minangkabau, Macedonian, Malagasy, Maltese, Mongolian, Maori, Western Mari, Malay (macrolanguage), Creek, Mirandese, Burmese, Erzya, Mazanderani, Min Nan Chinese, Neapolitan, Nauru, Navajo, Ndonga, Low German, Nepali (macrolanguage), Newari, Dutch, Norwegian Nynorsk, Norwegian, Novial, Pedi, Nyanja, Occitan (post 1500), Livvi, Oriya (macrolanguage), Oromo, Ossetian, Pangasinan, Pampanga, Panjabi, Papiamento, Picard, Pennsylvania German, Pfaelzisch, Pitcairn-Norfolk, Pali, Piemontese, Western Panjabi, Pontic, Polish, Portuguese, Pushto, Quechua, Vlax Romani, Romansh, Romanian, Rusyn, Rundi, Macedo-Romanian, Russian, Sango, Yakut, Sanskrit, Sicilian, Scots, Samogitian, Sinhala, Slovak, Slovenian, Northern Sami, Samoan, Shona, Sindhi, Somali, Southern Sotho, Spanish, Albanian, Sardinian, Sranan Tongo, Serbian, Swati, Saterfriesisch, Sundanese, Swahili (macrolanguage), Swedish, Silesian, Tahitian, Tamil, Tatar, Tulu, Telugu, Tama (Colombia), Tetum, Tajik, Tagalog, Thai, Tigrinya, Tonga (Tonga Islands), Tok Pisin, Tswana, Tsonga, Turkmen, Tumbuka, Turkish, Twi, Tuvinian, Udmurt, Uighur, Ukrainian, Urdu, Uzbek, Venetian, Venda, Veps, Vietnamese, Vlaams, Volapük, Võro, Waray (Philippines), Walloon, Wolof, Wu Chinese, Kalmyk, Xhosa, Mingrelian, Yiddish, Yoruba, Yue Chinese, Zeeuws, Zhuang, Chinese, Zulu, and Dotyali
Description:
Wikipedia plain text data obtained from Wikipedia dumps with WikiExtractor in February 2018. The data come from all Wikipedias for which dumps could be downloaded at [https://dumps.wikimedia.org/]. This amounts to 297 Wikipedias, usually corresponding to individual languages and identified by their ISO codes. Several special Wikipedias are included, most notably "simple" (Simple English Wikipedia) and "incubator" (tiny hatching Wikipedias in various languages). For a list of all the Wikipedias, see [https://meta.wikimedia.org/wiki/List_of_Wikipedias]. The script which can be used to get new version of the data is included, but note that Wikipedia limits the download speed for downloading a lot of the dumps, so it takes a few days to download all of them (but one or a few can be downloaded fast). Also, the format of the dumps changes time to time, so the script will probably eventually stop working one day. The WikiExtractor tool [http://medialab.di.unipi.it/wiki/Wikipedia_Extractor] used to extract text from the Wikipedia dumps is not mine, I only modified it slightly to produce plaintext outputs [https://github.com/ptakopysk/wikiextractor].
Rights:
Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0), http://creativecommons.org/licenses/by-sa/3.0/, and PUB

76. QTLeap WSD/NED corpus

Creator:
Agirre, Eneko, Branco, António, Popel, Martin, and Simov, Kiril
Publisher:
University of the Basque Country, UPV/EHU, Faculty of Science, Univeristy of Lisbon, FCUL, Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), and Bulgarian Academy of Sciences, IICT-BAS
Type:
text and corpus
Subject:
annotated corpus and multilingual
Language:
Basque, Bulgarian, Czech, English, Portuguese, and Spanish
Description:
This corpora is part of Deliverable 5.5 of the European Commission project QTLeap FP7-ICT-2013.4.1-610516 (http://qtleap.eu). The texts are Q&A interactions from the real-user scenario (batches 1 and 2). The interactions in this corpus are available in Basque, Bulgarian, Czech, English, Portuguese and Spanish. The texts have been automatically annotated with NLP tools, including Word Sense Disambiguation, Named Entity Disambiguation and Coreference resolution. Please check deliverable D5.6 in http://qtleap.eu/deliverables for more information.
Rights:
Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB

77. Semantic Difference Keywords - word2vec embeddings

Creator:
Gribomont, Isabelle
Publisher:
Cental (UCL)
Type:
text, other, and lexicalConceptualResource
Subject:
semantic change and lexical semantics
Language:
Spanish
Description:
Embeddings from word2vec model described in "From Diachronic to Contextual Lexical Semantic Change: Introducing Semantic Difference Keywords (SDKs) for Discourse Studies". Full reference TBC.
Rights:
Creative Commons - Attribution 4.0 International (CC BY 4.0), http://creativecommons.org/licenses/by/4.0/, and PUB

80. SpeechDat-Car databases

Type:
corpus
Language:
Danish, Dutch, English, Finnish, French, German, Modern Greek (1453-), Italian, and Spanish
Description:
9 speech databases for training and testing multilingual speech recognition applications in the car environment. Contains parallel 4 channel in-car recordings and a GSM channel. Contains interesting phonetically rich material. All orthographically transcribed. Speaker information included for gender, age, accent. Including pronunciation lexicon.
Rights:
Not specified

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