KOCINCOVÁ, Lucia, Miloš JAKUBÍČEK, Vojtěch KOVÁŘ and Vít BAISA. Interactive Visualizations of Corpus Data in Sketch Engine. Online. In Gintaré Grigonyté, Simon Clematide, Andrius Utka, Martin Volk. Proceedings of the Workshop on Innovative Corpus Query and Visualization Tools at NODALIDA 2015. Vilnius, Lithuania: Linköping University Electronic Press, Linköpings universitet, 2015, p. 17-22. ISBN 978-91-7519-035-8.
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Basic information
Original name Interactive Visualizations of Corpus Data in Sketch Engine
Authors KOCINCOVÁ, Lucia (703 Slovakia, guarantor, belonging to the institution), Miloš JAKUBÍČEK (203 Czech Republic, belonging to the institution), Vojtěch KOVÁŘ (203 Czech Republic, belonging to the institution) and Vít BAISA (203 Czech Republic, belonging to the institution).
Edition Vilnius, Lithuania, Proceedings of the Workshop on Innovative Corpus Query and Visualization Tools at NODALIDA 2015, p. 17-22, 6 pp. 2015.
Publisher Linköping University Electronic Press, Linköpings universitet
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Lithuania
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/15:00082917
Organization unit Faculty of Informatics
ISBN 978-91-7519-035-8
ISSN 1650-3686
Keywords (in Czech) vizualizace informací; interaktivní vizualizace; korpus; Sketch Engine; tezaurus; word sketch; Data-Driven Documents; generativní design
Keywords in English information visualization; interactive visualization; corpora; Sketch Engine; thesaurus; word sketch; Data-Driven Documents; generative design
Tags International impact, Reviewed
Changed by Changed by: Mgr. Lucia Kocincová, učo 374080. Changed: 26/5/2015 15:59.
Abstract
Automatic analysis of large text corpora produces large amounts of figures as result of various functions. These provide empirical evidence for a research hypothesis or serve in numerous practical applications of natural language processing. Usually, the results are presented in the form of tables containing raw data to be interpreted by domain experts. This paper describes an ongoing work on new visualizations and user interface enhancements in Sketch Engine corpus management system which aim at easing the interpretation of the data for both novice users and language professionals.
Links
LM2010013, research and development projectName: LINDAT-CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat (Acronym: LINDAT-Clarin)
Investor: Ministry of Education, Youth and Sports of the CR
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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