KOVÁŘ, Vojtěch. Corpus Query System Bonito - Recent Development. In Proceedings of Recent Advances in Slavonic Natural Language Processing. Brno: Masaryk University, 2007, p. 71-76. ISBN 978-80-210-4471-5.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Corpus Query System Bonito - Recent Development
Name in Czech Korpusový manažer Bonito - současný vývoj
Authors KOVÁŘ, Vojtěch (203 Czech Republic, guarantor, belonging to the institution).
Edition Brno, Proceedings of Recent Advances in Slavonic Natural Language Processing, p. 71-76, 2007.
Publisher Masaryk University
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
RIV identification code RIV/00216224:14330/07:00019528
Organization unit Faculty of Informatics
ISBN 978-80-210-4471-5
UT WoS 000268015500009
Keywords in English corpus; cqs; manatee; bonito; xml; localization
Tags bonito, corpus, cqs, localization, manatee, XML
Tags International impact, Reviewed
Changed by Changed by: RNDr. Vojtěch Kovář, Ph.D., učo 139915. Changed: 26/5/2021 21:18.
Abstract
This paper presents two of the new features of corpus query system Bonito: 1. Saving the outputs of the system in the XML format and 2. Localization mechanism used to enable easy translation of the system into different languages. In both cases, the developing process is described and examples of the new functionality are given. In the first sections, we also outline the general system functionality and features.
Abstract (in Czech)
Článek představuje dvě z vlastností nově přidaných do systému Bonito: 1. Ukládání výstupů ve formátu XML a 2. Mechanismus podpory lokalizace systému pro snadný překlad do různých jazyků. V obou případech je popsán proces vývoje a jsou předvedeny příklady nové funkcionality.
Links
1ET100300414, research and development projectName: Inteligentní metody pro zvýšení spolehlivosti elektrických sítí
Investor: Academy of Sciences of the Czech Republic, Intelligentmethods for incresing of reliability of electrical networks
PrintDisplayed: 25/7/2024 19:17