Classifications of Electronic Dictionaries
DOI:
https://doi.org/10.31548/philolog2021.02.060Abstract
Abstract. The article deals with the problem of a typology of electronic dictionaries. The purpose of the article is to analyze modern approaches to determine the criteria for the classification of electronic lexicographic resources. Such methods as an analysis of scientific sources, comparison, generalization and systematization have been applied in the research. Based on the analysis of scientific literature, it was found that among researchers there is no single point on the criteria for classifying electronic dictionaries, which are a relatively new phenomenon on the market of lexicographic products and have evolved from machine-readable lexicons, exact copies of paper editions to complex digital lexicographic systems with a powerful arsenal of functions for several decades.
In general, there are two common approaches to the classification of dictionaries among scholars. Some researchers (N. Kameneva, А. Baranov et al.) believe that the same classification criteria should be applied to electronic dictionaries as to traditional dictionaries, others (V. Shyrokov, L. Belyaeva, R. Mysak, А. Lehr, І. Sazhenin et al.) believe that the accepted division of traditional dictionaries is not relevant to computer dictionaries and lexicographic databases. Electronic dictionaries are often classified according to criteria such as form, location, purpose, linguistic characteristics, printed prototype, interactivity, the presence of multimedia objects, and so on. And they are classified according to specific technical criteria: minimum hardware requirements, development environment, software, installation, method of execution and download, the number of dictionary databases, the amount of random access memory, the ability to expand the vocabulary, conversion dictionary databases in text format, etc.
It has been established that modern electronic dictionaries tend to hybridize, often combining alphabetical and thematic methods of material organization, lexical and encyclopedic information, which complicates the possibility of distinguishing clear differential features of a particular lexicographic resource and its rigid, strict classification. The multiplicity of criteria for comparing dictionaries complicates the construction of a single general classification of dictionaries of different types, and multifaceted characterization of a particular dictionary can be carried out by the facet method using a basic list of parameters, which remains open and can be supplemented with the development of lexicographic resources system.
References
Balalaieva, O. Yu. (2013). Fasetni klasyfikatsii elektronnykh zasobiv navchalnoho pryznachennia [Facet classification of e-learning tools]. Information Technologies and Learning Tools.Vol. 38, no 6, 41-52.
https://doi.org/10.33407/itlt.v38i6.926
Belyaeva, L. N. (2010). Potencial avtomatizirovannoj leksikografii [Automatic lexicography scope]. Izvestija RGPU im. A. I. Gercena. No 134, 70-79.
DSTU 7157:2010. Vydannia elektronni. Osnovni vydy ta vykhidni vidomosti. [Editions electronic. Basic types and imprint]. (2010). Kyiv: Derzhpozhyvstandart Ukrainy.
Dubichynskyi, V. V. (2011). Leksykohrafia [Lexicography]. Kharkiv: KhPI.
Linhvistychno-informatsiini studii: Pratsi Ukrainskoho movno-informatsiinoho fondu NAN Ukrainy (2018). Vol. 3: Tlumachna leksykohrafiia. Kn. 1: Slovnyk ukrainskoi movy u dvadtsiaty tomakh / V. A. Shyrokov (ed.). Kyiv: Ukrainskyi movno-informatsiinyi fond NAN Ukrainy. 276 p.
Mysak, R. (2008). Kompiuterni slovnyky: klasyfikatsiia ta ukladannia [Computer dictionaries: classification and compilation], Problemy ukrainskoi terminolohii:10 Mizhnar. nauk. konf., Lviv, 30/09-20/10/2008. Lviv: «Lvivska politekhnika», 52-55.
Nikolaienko, S., Shynkaruk, V., Kovalchuk, V., Kocharian, A. (2017). Vykorystannia BIG DATA v osvitnomu protsesi suchasnoho universytetu [The use of big data in the educational process of a modern university]. Information Technologies and Learning Tools. Vol. 60, no.4, 239-253.
https://doi.org/10.33407/itlt.v60i4.1681
Sazhenin, I. I. (2013). Korpusnye metody v leksikografii: opyt sozdanija modeli slovarnogo korpusa [Corpus methods in lexicography: experience in designing a model of the vocabulary corpus] (Doctoral dissertation). Novosibirsk, NGPU.
Sheremeteva, S. O., Osminin, P. G., Scherbakov, E. S. (2014). K voprosu ob elektronnyih resursah professionalnoy leksiki [On electronic resources for professional lexicon]. Bulletin of YuUrGU. Seriya: Lingvistika. No 1, 57-63.
Kameneva, N. A. (2015). Computer lexicography and compilation of electronic dictionaries. Philology. Issues of theory and practice. No 3 (45), 86-89.
Lehr, A. (1996). Electronic Dictionaries. Lexicographica 12, 310-317.
Downloads
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).