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.
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.
The presented Czech Named Entity Corpus 1.0 is the first publicly available corpus providing a large body of manually annotated named entities in Czech sentences, including a fine-grained classification. and 1ET101120503 (Integrace jazykových zdrojů za účelem extrakce informací z přirozených textů)
Czech Named Entity Corpus 1.1 fixes some issues of the Czech Named Entity Corpus 1.0: misannotated entities are fixed, all formats contain the same data, tmt format is replaced with treex format, all formats contain splitting into training, development and testing portion of the data. and SVV 267 314 (Teoretické základy informatiky a výpočetní lingvistiky), LM2010013 (LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat), GPP406/12/P175 (Vybrané derivační vztahy pro automatické zpracování češtiny), PRVOUK (PRVOUK)
Czech Named Entity Corpus 2.0 is a corpus of 8993 Czech sentences with manually annotated 35220 Czech named entities, classified according to a two-level hierarchy of 46 named entities. and SVV 267 314 (Teoretické základy informatiky a výpočetní lingvistiky), LM2010013 (LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat), GPP406/12/P175 (Vybrané derivační vztahy pro automatické zpracování češtiny), PRVOUK (PRVOUK)
Corpus of Czech educational texts for readability studies, with paraphrases, measured reading comprehension, and a multi-annotator subjective rating of selected text features based on the Hamburg Comprehensibility Concept
Corpus of Czech educational texts for readability studies, with paraphrases, measured reading comprehension, and a multi-annotator subjective rating of selected text features based on the Hamburg Comprehensibility Concept
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.
The Prague Dependency Treebank 2.5 annotates the same texts as the PDT 2.0. The annotation on the original four layers was fixed or improved in various aspects (see Documentation). Moreover, new information was added to the data:
Annotation of multiword expressions
Pair/group meaning
Clause segmentation and Ministry of Education of the Czech Republic projects No.:
LM2010013
LC536
MSM0021620838
Grant Agency of the Czech Republic grants No.:
P406/2010/0875
P202/10/1333
P406/10/P193
PDT 3.0 is a new version of Prague Dependency Treebank. It contains a large amount of Czech texts with complex and interlinked morphological (2 million words), syntactic (1.5 MW) and semantic annotation (0.8 MW); in addition, certain properties of sentence information structure, multiword expressions, coreference, bridging relations and discourse relations are annotated at the semantic level. and the Grant Agency of the Czech Republic: grants P406/12/0658 "Coreference, discourse relations and information structure in a contrastive perspective", P406/2010/0875 "Computational Linguistics: Explicit description of language and annotated data focused on Czech", 405/09/0729 "From the structure of a sentence to textual relationships", and GPP406/12/P175 (Selected derivational relations for automatic processing of Czech);
the Ministry of Education, Youth and Sports of the Czech Republic: the KONTAKT project ME10018 "Towards a computational analysis of text structure" and the LINDAT-Clarin project LM2010013;
the Grant Agency of Charles University in Prague: GAUK 103609 "Textual (Inter-sentential) Relations and their Representation in a Language Corpus" and GAUK 4383/2009 "Methods of coreference resolution".