Detection and lexicographic treatment of salient features in e-dictionaries for African languages1

Bibliographic Data

ID12205237
AuthorsD J Prinsloo (0000-0003-0054-4676, University of Pretoria, corresponding author)
Year2019
Volume33
Issue3
Pages269-287
Publication date2019-11-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Lexicography (JOURNAL)
Journal identifiersISSN: 0950-3846 • E-ISSN: 1477-4577
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/ijl/ecz031
OpenAlexW2990162014
LanguageEN
Citations received2
References cited4

As for many e-dictionaries across the globe, e-dictionaries for African languages embarked on the unfortunate route of being ‘paper dictionaries on computer’ often simply enhanced with additional search features or simply by perpetuating the practice followed in paper dictionaries of compiling e-dictionaries which are just translated word lists. In this article it will be argued that e-dictionaries for African languages should firstly be compiled through maximum utilization of ‘true electronic’ features enabled by the computer era. Secondly, specific attention should be given to the salient features of the Bantu language family, taking Sepedi (Northern Sotho) as a case in point. Thirdly attention is given to the issue of dictionary survival in the information era and how innovative e-support systems can contribute to ensure that future dictionaries will remain the preferred point of departure for users for information retrieval

Bantu languages · Globe · Lemmatisation · Lexicographical order · Linguistics · Natural language processing · Point (geometry · Salient · Word (group theory · Computer Science · Lexicography and Language Studies · Mathematics · Natural Language Processing Techniques · Psychology · Spanish Linguistics and Language Studies · Artificial Intelligence

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