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2. 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
3. Czech Verbal MWEs
- Creator:
- Bejček, Eduard
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, lexicon, and lexicalConceptualResource
- Subject:
- lexicon, verbs, multiword expressions, forms, and lemmatization
- Language:
- Czech
- Description:
- Lexicon of Czech verbal multiword expressions (VMWEs) used in Parseme Shared Task 2017. https://typo.uni-konstanz.de/parseme/index.php/2-general/142-parseme-shared-task-on-automatic-detection-of-verbal-mwes Lexicon consists of 4785 VMWEs, categorized into four categories according to Parseme Shared Task (PST) typology: IReflV (inherently reflexive verbs), LVC (light verb constructions), ID (idiomatic expressions) and OTH (other VMWEs with other than verbal syntactic head). Verbal multiword expressions as well as deverbative variants of VMWEs were annotated during the preparation phase of PST. These data were published as http://hdl.handle.net/11372/LRT-2282. Czech part includes 14,536 VMWE occurences: 1611 ID 10000 IReflV 2923 LVC 2 OTH This lexicon was created out of Czech data. Each lexicon entry is represented by one line in the form: type lemmas frequency PoS [used form 1; used form 2; ... ] (columns are separated by tabs) where: type ... is the type of VMWE in PST typology lemmas ... are space separated lemmatized forms of all words that constitutes the VMWE frequency ... is the absolute frequency of this item in PST data PoS ... is a space separated list of parts of speech of individual words (in the same order as in "lemmas") final field contains a list of all (1 to 18) used forms found in the data (since Czech is a flective language).
- 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
4. Czech WordNet 1.9 PDT
- Creator:
- Pala, Karel, Čapek, Tomáš, Zajíčková, Barbora, Bartůšková, Dita, Kulková, Kateřina, Hoffmannová, Petra, Bejček, Eduard, Straňák, Pavel, and Hajič, Jan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- ontology, wordnet, and Czech WordNet
- Language:
- Czech
- Description:
- A slightly modified version of the Czech Wordnet. This is the version used to annotate "The Lexico-Semantic Annotation of PDT using Czech WordNet": http://hdl.handle.net/11858/00-097C-0000-0001-487A-4 The Czech WordNet was developed by the Centre of Natural Language Processing at the Faculty of Informatics, Masaryk University, Czech Republic. The Czech WordNet captures nouns, verbs, adjectives, and partly adverbs, and contains 23,094 word senses (synsets). 203 of these were created or modified by UFAL during correction of annotations. This version of WordNet was used to annotate word senses in PDT: http://hdl.handle.net/11858/00-097C-0000-0001-487A-4 A more recent version of Czech WordNet is distributed by ELRA: http://catalog.elra.info/product_info.php?products_id=1089 and 1ET201120505, LM2010013
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
5. ForFun 1.0
- Creator:
- Mikulová, Marie and Bejček, Eduard
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- service and toolService
- Subject:
- form, function, database, and syntax
- Language:
- Czech
- Description:
- ForFun is a database of linguistic forms and their syntactic functions built with the use of the multi-layer annotated corpora of Czech, the Prague Dependency Treebanks. The purpose of the Prague Database of Forms and Functions (ForFun) is to help the linguists to study the form-function relation, which we assume to be one of the principal tasks of both theoretical linguistics and natural language processing. A prototypical question to be asked is "What purposes does a preposition 'po' serve for" or "What are the linguistic means in the sentence that can express the meaning 'a destination of an action'?". There are almost 1500 distinct forms (besides the 'po' preposition) and 65 distinct functions (besides the 'destination').
- 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. Horničtí národopisci Příbramska (druhá polovina 20. století)
- Creator:
- Bejček, Eduard
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- regional historiography, mineworkers, mining historians, and Přibram region
- Language:
- Czech
- Description:
- Autor článku je uveden se zkratkou křestního jména E.
- Rights:
- http://creativecommons.org/licenses/by-nc-sa/4.0/ and policy:public
7. Lexico-Semantic Annotation of PDT using Czech WordNet
- Creator:
- Bejček, Eduard, Hoffmannová, Petra, Holub, Martin, Hučínová, Marie, Pecina, Pavel, Straňák, Pavel, Šidák, Pavel, and Hajič, Jan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- PDT and Czech WordNet
- Language:
- Czech
- Description:
- This dataset contains annotation of PDT using Czech WordNet ontology: http://hdl.handle.net/11858/00-097C-0000-0001-4880-3 Data is stored in PML format. This is a stand-off annotation and for most use cases it requires PDT 2.0 and the Czech WordNet 1.9 PDT that we have used for annotation. and 1ET100300517, 1ET201120505
- Rights:
- Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0), http://creativecommons.org/licenses/by-nc-sa/3.0/, and PUB
8. Multiword expressions in the Prague Dependency Treebank 2.0
- Creator:
- Bejček, Eduard, Klyueva, Natalia, Straňák, Pavel, Šidák, Pavel, Šťastná, Eva, Vimmrová, Pavlína, and Hajič, Jan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- MWE, multiword expressions, idiom, phraseme, and named entity
- Language:
- Czech
- Description:
- This dataset adds annotation of multiword expressions and multiword named entities to the original PDT 2.0 data. The annotation is stand-off, stored in the same PML format as the original PDT 2.0 data. It is to be used together with the PDT 2.0. and grant 1ET201120505 of the Academy of Sciences of the Czech Republic and grant MSM0021620838 of the Ministry of Youth, Education and Sport of The Czech Republic
- Rights:
- Creative Commons - Attribution 3.0 Unported (CC BY 3.0), http://creativecommons.org/licenses/by/3.0/, and PUB
9. 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
10. Prague Dependency Treebank - Consolidated 1.0 (PDT-C 1.0)
- Creator:
- Hajič, Jan, Bejček, Eduard, Bémová, Alevtina, Buráňová, Eva, Fučíková, Eva, Hajičová, Eva, Havelka, Jiří, Hlaváčová, Jaroslava, Homola, Petr, Ircing, Pavel, Kárník, Jiří, Kettnerová, Václava, Klyueva, Natalia, Kolářová, Veronika, Kučová, Lucie, Lopatková, Markéta, Mareček, David, Mikulová, Marie, Mírovský, Jiří, Nedoluzhko, Anna, Novák, Michal, Pajas, Petr, Panevová, Jarmila, Peterek, Nino, Poláková, Lucie, Popel, Martin, Popelka, Jan, Romportl, Jan, Rysová, Magdaléna, Semecký, Jiří, Sgall, Petr, Spoustová, Johanka, Straka, Milan, Straňák, Pavel, Synková, Pavlína, Ševčíková, Magda, Šindlerová, Jana, Štěpánek, Jan, Štěpánková, Barbora, Toman, Josef, Urešová, Zdeňka, Vidová Hladká, Barbora, Zeman, Daniel, Zikánová, Šárka, and Žabokrtský, Zdeněk
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text and corpus
- Subject:
- treebank, dependency, tectogrammatics, topic-focus articulation, multiword expressions, coreference, bridging relations, discourse, morphology, syntax, tokenization, lemmatization, semantic relations, lexical semantics, lexicon, valency, speech reconstruction, clauses, speech recognition, and spoken corpus
- Language:
- Czech
- Description:
- A richly annotated and genre-diversified language resource, The Prague Dependency Treebank – Consolidated 1.0 (PDT-C 1.0, or PDT-C in short in the sequel) is a consolidated release of the existing PDT-corpora of Czech data, uniformly annotated using the standard PDT scheme. PDT-corpora included in PDT-C: Prague Dependency Treebank (the original PDT contents, written newspaper and journal texts from three genres); Czech part of Prague Czech-English Dependency Treebank (translated financial texts, from English), Prague Dependency Treebank of Spoken Czech (spoken data, including audio and transcripts and multiple speech reconstruction annotation); PDT-Faust (user-generated texts). The difference from the separately published original treebanks can be briefly described as follows: it is published in one package, to allow easier data handling for all the datasets; the data is enhanced with a manual linguistic annotation at the morphological layer and new version of morphological dictionary is enclosed; a common valency lexicon for all four original parts is enclosed. Documentation provides two browsing and editing desktop tools (TrEd and MEd) and the corpus is also available online for searching using PML-TQ.
- 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