MĚCHURA, Michal. Data Structures in Lexicography: from Trees to Graphs. In Aleš Horák, Pavel Rychlý, Adam Rambousek. Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2016. Brno: Tribun EU, 2016, p. 97-104. ISBN 978-80-263-1095-2.
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Basic information
Original name Data Structures in Lexicography: from Trees to Graphs
Name in Czech Datové struktury v lexikografii: od stromů ke grafům
Authors MĚCHURA, Michal (203 Czech Republic, guarantor, belonging to the institution).
Edition Brno, Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2016, p. 97-104, 8 pp. 2016.
Publisher Tribun EU
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/00216224:14330/16:00092269
Organization unit Faculty of Informatics
ISBN 978-80-263-1095-2
ISSN 2336-4289
UT WoS 000466886400011
Keywords in English e-lexicography; dictionary writing systems; placement of multi-word items in dictionaries; bilingual dictionary reversal
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2020 19:29.
Abstract
In lexicography, a dictionary entry is typically encoded in XML as a tree: a hierarchical data structure of parent-child relations where every element has at most one parent. This choice of data structure makes some aspects of the lexicographer’s work unnecessarily difficult, from deciding where to place multi-word items to reversing an entire bilingual dictionary. This paper proposes that these and other notorious areas of difficulty can be made easier by remodelling dictionaries as graphs rather than trees. However, unlike other authors who have proposed a radical departure from tree structures and whose proposals have remained largely unimplemented, this paper proposes a conservative compromise in which existing tree structures become augmented with specific types of inter-entry relations designed to solve specific problems.
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