RYCHLÝ, Pavel, Miloš HUSÁK, Adam KILGARRIFF, Michael RUNDELL and Katy MCADAM. GDEX: Automatically finding good dictionary examples in a corpus. In Proceedings of the XIII EURALEX International Congress. 1st ed. Barcelona: Institut Universitari de Lingüística Aplicada, 2008, p. 425-432, 7 pp. ISBN 9788496742673.
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Basic information
Original name GDEX: Automatically finding good dictionary examples in a corpus
Name in Czech GDEX: Automatické vyhledávání dobrých slovníkových příkladů v korpusu
Authors RYCHLÝ, Pavel (203 Czech Republic, guarantor), Miloš HUSÁK (203 Czech Republic), Adam KILGARRIFF (826 United Kingdom of Great Britain and Northern Ireland), Michael RUNDELL (826 United Kingdom of Great Britain and Northern Ireland) and Katy MCADAM (826 United Kingdom of Great Britain and Northern Ireland).
Edition 1. vyd. Barcelona, Proceedings of the XIII EURALEX International Congress, p. 425-432, 7 pp. 2008.
Publisher Institut Universitari de Lingüística Aplicada
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/08:00024233
Organization unit Faculty of Informatics
ISBN 9788496742673
Keywords in English good dictionary examples; evaluation of sentence informativeness and readability
Tags good dictionary examples
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Pavel Rychlý, Ph.D., učo 3692. Changed: 8/1/2009 09:50.
Abstract
Users appreciate examples. If a dictionary entry includes contextualized examples of the different senses a word may have, then the user generally gets what they want in a quick and straightforward way. Thus, there are grounds for including lots of examples and contexts. Producing good examples, however, can be labour-intensive, thus, expensive. We automatically found good candidate sentences in a corpus, with which lexicographers could work. The technology used to add examples to an online version of a leading dictionary: we describe and evaluate the project. We consider a range of other ways in which the finding of good examples can bridge the gap between corpuses, dictionaries, and language learning.
Abstract (in Czech)
Příklady užití slov či frází v heslem slovníků jsou cenným zdrojem informací. Vytváření vhodných příkladů je ovšem náročná manuální práce. Článek popisuje algoritmus automatické identifikace vět z korpusu, které mohou sloužit jako dobré příklady užití pro slovníková hesla.
Links
LC536, research and development projectName: Centrum komputační lingvistiky
Investor: Ministry of Education, Youth and Sports of the CR, Centrum komputační lingvistiky
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
1ET200610406, research and development projectName: Jazyková poradna na internetu
Investor: Academy of Sciences of the Czech Republic, Internet Language Consulting Service
2C06009, research and development projectName: Prostředky tvorby komplexní báze znalostí pro komunikaci se sémantickým webem v přirozeném jazyce (Acronym: COT-SEWing)
Investor: Ministry of Education, Youth and Sports of the CR
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