GECCC Grammar Error Correction Corpus for Czech (2022-09-28)

Title:

GECCC Grammar Error Correction Corpus for Czech (2022-09-28)

Creator:

Náplava, Jakub, Straka, Milan, Straková, Jana, and Rosen, Alexandr

Contributor:

Grantová agentura České republiky@@GX20-16819X@@LUSyD – Language Understanding: from Syntax to Discourse@@nationalFunds@@, Ministerstvo školství, mládeže a tělovýchovy České republiky@@LM2018101@@LINDAT/CLARIAH-CZ: Digitální výzkumná infrastruktura pro jazykové technologie, umění a humanitní vědy@@nationalFunds@@, Grantová agentura Univerzity Karlovy v Praze@@GAUK 578218@@Automatická korekce jazyka pomocí neuronových sítí@@nationalFunds@@, Univerzita Karlova (mimo GAUK)@@SVV 260 575@@Specifický vysokoškolský výzkum@@nationalFunds@@, and 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@@

Publisher:

Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)

Identifier:

http://hdl.handle.net/11234/1-4861

Subject:

gec, grammatical error correction, and dataset

Type:

text and corpus

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 This version fixes double annotation errors in train and dev M2 files, and also contains more metadata information.

Language:

Czech

Rights:

Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
PUB
http://creativecommons.org/licenses/by-sa/4.0/

Relation:

https://arxiv.org/pdf/2201.05590.pdf
https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00470/110536
http://hdl.handle.net/11234/1-4639

Harvested from:

LINDAT/CLARIAH-CZ repository

Metadata only:

false

Date:

2022-01-17