Gideon Kotzé

672 citations
13 papers · 351 indexed · h-index 5
Topics
Natural Language Processing Techniques (12 papers)Topic Modeling (9 papers)Speech and dialogue systems (2 papers)
Journals
Language Resources and EvaluationSouth African Computer JournalLiterator

In The Last Decade

Gideon Kotzé

13 papers receiving 322 citations

Peers

Gideon Kotzé
Comparison fields: 5 of 54
  • Artificial Intelligence 274
  • Language and Linguistics 56
  • Information Systems 33
  • Computer Vision and Pattern Recognition 33
  • Molecular Biology 28
Replace Balázs Kis with:
Balázs Kis Sweden
Ines Rehbein Germany
Bente Mægaard Denmark
Tim Van de Cruys France
Stefanie Dipper Germany
E.F. Tjong Kim Sang Netherlands
Jan Odijk Netherlands
Vasilis Karaiskos United Kingdom
Mick O’Donnell Spain
Thomas Eckart Germany
Gideon Kotzé relative to Balázs Kis Sweden Balázs Kis's profile →
Citations per field
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Countries citing papers authored by Gideon Kotzé

Since Specialization
Citations

This map shows the geographic impact of Gideon Kotzé'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 Gideon Kotzé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gideon Kotzé more than expected).

Fields of papers citing papers by Gideon Kotzé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gideon Kotzé. 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 Gideon Kotzé. The network helps show where Gideon Kotzé may publish in the future.

Co-authorship network of co-authors of Gideon Kotzé

This figure shows the co-authorship network connecting the top 25 collaborators of Gideon Kotzé. A scholar is included among the top collaborators of Gideon Kotzé based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gideon Kotzé. Gideon Kotzé is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4
Experiments with syllable-based English-Zulu alignment
1
5 11
6
Transformation-based tree-to-tree alignment
2
7
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
235
8
Proceedings of the 18th Nordic Conference of Computational Linguistics NODALIDA 2011
65
9
Improving syntactic tree alignment through rule-based error correction
3
10
Rule-induced error correction of aligned parallel treebanks
3
11
Building a Large Machine-Aligned Parallel Treebank
15
12
A Discriminative Approach to Tree Alignment
8
13 4

About Gideon Kotzé

Gideon Kotzé is a scholar working on Artificial Intelligence, Software and Hardware and Architecture, having authored 13 papers that have together received 351 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Topic Modeling (9 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (274 citations), Language and Linguistics (56 citations) and Linguistics and Language (14 citations). Gideon Kotzé has collaborated with scholars based in South Africa, Sweden and Netherlands. Frequent co-authors include Jörg Tiedemann, Vincent Vandeghinste and Scott N. Martens. Their work appears in journals such as Language Resources and Evaluation, South African Computer Journal 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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