| dc.contributor.author | Náplava, Jakub |
| dc.contributor.author | Straka, Milan |
| dc.contributor.author | Straková, Jana |
| dc.contributor.author | Rosen, Alexandr |
| dc.date.accessioned | 2022-01-17T09:19:51Z |
| dc.date.available | 2022-01-17T09:19:51Z |
| dc.date.issued | 2022-01-17 |
| dc.identifier.uri | http://hdl.handle.net/11234/1-4639 |
| dc.description | Grammar Error Correction Corpus for Czech (GECCC) consists of 83 058 sentences and covers four diverse domains, including essays written by native students, informal website texts, essays written by Romani ethnic minority children and teenagers and essays written by nonnative speakers. All domains are professionally annotated for GEC errors in a unified manner, and errors were automatically categorized with a Czech-specific version of ERRANT released at https://github.com/ufal/errant_czech The dataset was introduced in the paper Czech Grammar Error Correction with a Large and Diverse Corpus that was accepted to TACL. Until published in TACL, see the arXiv version: https://arxiv.org/pdf/2201.05590.pdf |
| dc.language.iso | ces |
| dc.publisher | Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| dc.relation.isreferencedby | https://arxiv.org/pdf/2201.05590.pdf |
| dc.relation.isreplacedby | http://hdl.handle.net/11234/1-4861 |
| dc.rights | Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) |
| dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ |
| dc.subject | gec |
| dc.subject | grammatical error correction |
| dc.subject | dataset |
| dc.title | GECCC Grammar Error Correction Corpus for Czech |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| dc.rights.label | PUB |
| has.files | yes |
| branding | LINDAT / CLARIAH-CZ |
| contact.person | Jakub Náplava arahusky@seznam.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL) |
| sponsor | Grantová agentura České republiky GX20-16819X LUSyD – Language Understanding: from Syntax to Discourse nationalFunds |
| sponsor | Ministerstvo školství, mládeže a tělovýchovy České republiky LM2018101 LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy nationalFunds |
| sponsor | Grantová agentura Univerzity Karlovy v Praze GAUK 578218 Automatická korekce jazyka pomocí neuronových sítí nationalFunds |
| sponsor | Univerzita Karlova (mimo GAUK) SVV 260 575 Specifický vysokoškolský výzkum nationalFunds |
| sponsor | Ministerstvo školství, mládeže a tělovýchovy České republiky CZ.02.1.01/0.0/0.0/16_019/0000734 Kreativita a adaptabilita jako předpoklad úspěchu Evropy v propojeném světě nationalFunds |
| size.info | 83058 sentences |
| size.info | 24 files |
| files.size | 15817066 |
| files.count | 1 |
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- Name
- geccc.zip
- Size
- 15.08 MB
- Format
- application/zip
- Description
- corpus data and metadata, zipped
- MD5
- c1516ca240d97c6b6fae021cfea57ce4
- data
- meta.tsv3 MB
- dev
- paragraph.m21 MB
- paragraph.meta81 kB
- sentence.meta191 kB
- sentence.input523 kB
- paragraph.gold817 kB
- sentence.gold823 kB
- sentence.m22 MB
- paragraph.input518 kB
- test
- paragraph.m22 MB
- paragraph.meta70 kB
- sentence.meta170 kB
- sentence.input506 kB
- paragraph.gold1009 kB
- sentence.gold1009 kB
- sentence.m22 MB
- paragraph.input507 kB
- train
- paragraph.m213 MB
- paragraph.meta460 kB
- sentence.meta1 MB
- sentence.input3 MB
- paragraph.gold4 MB
- sentence.gold4 MB
- sentence.m215 MB
- paragraph.input3 MB
- detokenizer.perl12 kB
- LICENSE19 kB
- README.md3 kB