KOVÁŘ, Vojtěch, Jakub MACHURA, Kristýna ZEMKOVÁ and Michal ROTT. Evaluation and Improvements in Punctuation Detection for Czech. In Sojka, Petr; Horák, Aleš; Kopeček, Ivan; Pala, Karel. Text, Speech, and Dialogue 19th International Conference, TSD 2016 Brno, Czech Republic, September 12–16, 2016 Proceedings. Cham (CH): Springer, 2016, p. 287-294. ISBN 978-3-319-45509-9. Available from: https://dx.doi.org/10.1007/978-3-319-45510-5_33.
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Basic information
Original name Evaluation and Improvements in Punctuation Detection for Czech
Authors KOVÁŘ, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Jakub MACHURA (203 Czech Republic, belonging to the institution), Kristýna ZEMKOVÁ (203 Czech Republic, belonging to the institution) and Michal ROTT (203 Czech Republic).
Edition Cham (CH), Text, Speech, and Dialogue 19th International Conference, TSD 2016 Brno, Czech Republic, September 12–16, 2016 Proceedings, p. 287-294, 8 pp. 2016.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14210/16:00088271
Organization unit Faculty of Arts
ISBN 978-3-319-45509-9
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-45510-5_33
UT WoS 000389707400033
Keywords in English automatic punctuation detection
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: Mgr. Jakub Machura, Ph.D., učo 415795. Changed: 16/1/2018 16:56.
Abstract
Punctuation detection and correction belongs to the hardest automatic grammar checking tasks for the Czech language. The paper compares available grammar and punctuation correction programs on several data sets. It also describes a set of improvements of one of the available tools, leading to significantly better recall, as well as precision.
Links
GA15-13277S, research and development projectName: Hyperintensionální logika pro analýzu přirozeného jazyka
Investor: Czech Science Foundation
MUNI/A/0863/2015, interní kód MUName: Čeština v jednotě synchronie a diachronie - 2016
Investor: Masaryk University, Category A
MUNI/A/0915/2016, interní kód MUName: Čeština v jednotě synchronie a diachronie - 2017
Investor: Masaryk University, Category A
7F14047, research and development projectName: Harvesting big text data for under-resourced languages (Acronym: HaBiT)
Investor: Ministry of Education, Youth and Sports of the CR
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