Laurette Pretorius

548 citations
49 papers · 196 · h-index 7

Impact in

Papers in

    • Natural Language Processing Techniques 30
    • Topic Modeling 8
    • Speech and dialogue systems 7
    • Semantic Web and Ontologies 6
    • Lexicography and Language Studies 9
    • linguistics and terminology studies 8
    • Syntax, Semantics, Linguistic Variation 7

Laurette Pretorius

41 papers receiving 162 citations

Peers

Laurette Pretorius
Comparison fields: 5 of 38
  • Language and Linguistics 81
  • Linguistics and Language 26
  • Artificial Intelligence 139
  • Cultural Studies 19
  • Information Systems and Management 12
Replace Tamás Váradi with:
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Citations per field
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Citations per year

Countries citing papers authored by Laurette Pretorius

Since Specialization
Citations

This map shows the geographic impact of Laurette Pretorius's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laurette Pretorius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurette Pretorius more than expected).

Fields of papers citing papers by Laurette Pretorius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurette Pretorius. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laurette Pretorius. The network helps show where Laurette Pretorius may publish in the future.

Co-authors

The 18 scholars most cited alongside Laurette Pretorius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laurette Pretorius Line = papers co-authored together Laurette Pretorius links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200322
2 200312
3 200811
4 200910
5 200910
6 20039
7 20067
8 20086
9
A finite-state approach to linguistic constraints in Zulu morphological analysis
20066
10
Finite-State Computational Morphology - Treatment of the Zulu Noun
20026
11 20066
12 20056
13 20135
14 20165
15 20085
16 20085
17 20115
18 20034
19 20174
20 20094

About Laurette Pretorius

Laurette Pretorius is a scholar working on Artificial Intelligence, Language and Linguistics, Information Systems, Cultural Studies and Management Information Systems, having authored 49 papers that have together received 196 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Lexicography and Language Studies (9 papers), linguistics and terminology studies (8 papers), Topic Modeling (8 papers), Speech and dialogue systems (7 papers), Syntax, Semantics, Linguistic Variation (7 papers), Language and cultural evolution (6 papers) and Semantic Web and Ontologies (6 papers). The work is most often cited by research in Language and Linguistics (81 citations), Linguistics and Language (26 citations), Artificial Intelligence (139 citations), Cultural Studies (19 citations) and Information Systems and Management (12 citations). Laurette Pretorius has collaborated with scholars based in South Africa, Ireland and Germany. Frequent co-authors include Sonja E. Bosch, Axel Fleisch, Eli Cohen, J Jones, Claudia Soria, Guy De Pauw, Febe de Wet, Paul Buitelaar, Ian Sanders and Lori Levin. Their work appears in journals such as Language Resources and Evaluation, South African Journal of African Languages, Southern African Linguistics and Applied Language Studies, Machine Translation and Literator.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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