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2. Czech PDT-C 1.0 Model for UDPipe 2 (2023-11-16)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, parser, dependency parser, MorfFlex CZ 2.0, and PDT-C 1.0
- Language:
- Czech
- Description:
- Tokenizer, POS Tagger, Lemmatizer, and Parser model based on the PDT-C 1.0 treebank (https://hdl.handle.net/11234/1-3185). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#czech_pdtc1.0_model . To use these models, you need UDPipe version 2.1, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- 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
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. Korpus ORAL: sestavení, lemmatizace a morfologické značkování
- Creator:
- Kopřivová, Marie, Komrsková, Zuzana, Lukeš, David, and Poukarová, Petra
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- spoken Czech, spoken language corpora, lemmatization, tagging, morphological analysis, mluvená čeština, korpusy mluveného jazyka, lemmatizace, tagování, and morfologická analýza
- Language:
- Czech
- Description:
- The goal of this paper is to provide an overview of the structure and contents of the soon-to-be available ORAL corpus, which combines previously published corpora (ORAL2006, ORAL2008 and ORAL2013) with newly transcribed material into a single conveniently accessible and more richly annotated resource, about 6 million running words in length. The recordings and corresponding transcripts span a decade between 2002 and 2011; most of them capture interactions of mutually well-acquainted speakers, in informal situations and natural settings. The corpus is complemented by amarginal portion of more formal data, mostly public talks. It is tagged and lemmatized, and an effort was made to adapt existing tools (targeted at written language) to yield better results on spoken data. We hope the availability of such a resource will spawn further discussions on the morphological and syntactic analysis of spoken language, perhaps resulting in more radical departures in the future from the part-of-speech classification inherited from the linguistic analysis of written language.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public
5. POS Tagging and Lemmatization (Czech model)
- Creator:
- Vysušilová, Petra and Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- text, mlmodel, and languageDescription
- Subject:
- BERT, PoS tagging, and lemmatization
- Language:
- Czech
- Description:
- Model trained for Czech POS Tagging and Lemmatization using Czech version of BERT model, RobeCzech. Model is trained on data from Prague Dependency Treebank 3.5. Model is a part of Czech NLP with Contextualized Embeddings master thesis and presented a state-of-the-art performance on the date of submission of the work. Demo jupyter notebook is available on the project GitHub.
- 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. 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
7. Prague Dependency Treebank 3.5
- Creator:
- Hajič, Jan, Bejček, Eduard, Bémová, Alevtina, Buráňová, Eva, Hajičová, Eva, Havelka, Jiří, Homola, Petr, Kárník, Jiří, Kettnerová, Václava, Klyueva, Natalia, Kolářová, Veronika, Kučová, Lucie, Lopatková, Markéta, Mikulová, Marie, Mírovský, Jiří, Nedoluzhko, Anna, Pajas, Petr, Panevová, Jarmila, Poláková, Lucie, Rysová, Magdaléna, Sgall, Petr, Spoustová, Johanka, Straňák, Pavel, Synková, Pavlína, Ševčíková, Magda, Štěpánek, Jan, 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, clauses, semantics, semantic relations, lexical semantics, and lexicon
- Language:
- Czech
- Description:
- The Prague Dependency Treebank 3.5 is the 2018 edition of the core Prague Dependency Treebank (PDT). It contains all PDT annotation made at the Institute of Formal and Applied Linguistics under various projects between 1996 and 2018 on the original texts, i.e., all annotation from PDT 1.0, PDT 2.0, PDT 2.5, PDT 3.0, PDiT 1.0 and PDiT 2.0, plus corrections, new structure of basic documentation and new list of authors covering all previous editions. The Prague Dependency Treebank 3.5 (PDT 3.5) contains the same texts as the previous versions since 2.0; there are 49,431 annotated sentences (832,823 words) on all layers, from tectogrammatical annotation to syntax to morphology. There are additional annotated sentences for syntax and morphology; the totals for the lower layers of annotation are: 87,913 sentences with 1,502,976 words at the analytical layer (surface dependency syntax) and 115,844 sentences with 1,956,693 words at the morphological layer of annotation (these totals include the annotation with the higher layers annotated as well). Closely linked to the tectogrammatical layer is the annotation of sentence information structure, multiword expressions, coreference, bridging relations and discourse relations.
- 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. Universal Dependencies 2.10 models for UDPipe 2 (2022-07-11)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Czech, Church Slavic, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Persian, Finnish, French, Old French (842-ca. 1400), Scottish Gaelic, Irish, Galician, Gothic, Ancient Greek (to 1453), Ancient Hebrew, Hebrew, Hindi, Croatian, Hungarian, Armenian, Western Armenian, Indonesian, Icelandic, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, and Chinese
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 123 treebanks of 69 languages of Universal Depenencies 2.10 Treebanks, created solely using UD 2.10 data (https://hdl.handle.net/11234/1-4758). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_210_models . To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- 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
9. Universal Dependencies 2.12 models for UDPipe 2 (2023-07-17)
- Creator:
- Straka, Milan
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Czech, Church Slavic, Coptic, Welsh, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Faroese, Persian, Finnish, French, Old French (842-ca. 1400), Scottish Gaelic, Irish, Galician, Gothic, Ancient Greek (to 1453), Ancient Hebrew, Hebrew, Hindi, Croatian, Hungarian, Armenian, Western Armenian, Indonesian, Icelandic, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Nigerian Pidgin, Polish, Portuguese, Romanian, Russian, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, Chinese, Norwegian, Erzya, and Manx
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 131 treebanks of 72 languages of Universal Depenencies 2.12 Treebanks, created solely using UD 2.12 data (https://hdl.handle.net/11234/1-5150). The model documentation including performance can be found at https://ufal.mff.cuni.cz/udpipe/2/models#universal_dependencies_212_models . To use these models, you need UDPipe version 2.0, which you can download from https://ufal.mff.cuni.cz/udpipe/2 .
- 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
10. Universal Dependencies 2.4 Models for UDPipe (2019-05-31)
- Creator:
- Straka, Milan and Straková, Jana
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- tokenizer, POS tagger, lemmatization, tagger, parser, and dependency parser
- Language:
- Czech, Afrikaans, Arabic, Belarusian, Bulgarian, Catalan, Church Slavic, Coptic, Danish, German, Modern Greek (1453-), English, Estonian, Basque, Persian, Finnish, French, Old French (842-ca. 1400), Irish, Galician, Gothic, Ancient Greek (to 1453), Hebrew, Hindi, Croatian, Hungarian, Armenian, Indonesian, Italian, Japanese, Kazakh, Korean, Latin, Latvian, Lithuanian, Literary Chinese, Marathi, Maltese, Dutch, Norwegian Nynorsk, Norwegian Bokmål, Old Russian, Polish, Portuguese, Romanian, Russian, Sanskrit, Slovak, Slovenian, Northern Sami, Spanish, Serbian, Swedish, Tamil, Telugu, Turkish, Uighur, Ukrainian, Urdu, Vietnamese, Gambian Wolof, Wolof, and Chinese
- Description:
- Tokenizer, POS Tagger, Lemmatizer and Parser models for 90 treebanks of 60 languages of Universal Depenencies 2.4 Treebanks, created solely using UD 2.4 data (http://hdl.handle.net/11234/1-2988). The model documentation including performance can be found at http://ufal.mff.cuni.cz/udpipe/models#universal_dependencies_24_models . To use these models, you need UDPipe binary version at least 1.2, which you can download from http://ufal.mff.cuni.cz/udpipe . In addition to models itself, all additional data and value of hyperparameters used for training are available in the second archive, allowing reproducible training.
- 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