Frank Van Eynde

1.0k citations
83 papers · 480 indexed · h-index 11
Topics
Natural Language Processing Techniques (54 papers)Syntax, Semantics, Linguistic Variation (29 papers)Lexicography and Language Studies (12 papers)

In The Last Decade

Frank Van Eynde

65 papers receiving 347 citations

Peers

Frank Van Eynde
Comparison fields: 5 of 43
  • Artificial Intelligence 362
  • Language and Linguistics 236
  • Experimental and Cognitive Psychology 78
  • Linguistics and Language 48
  • Signal Processing 28
Replace Benoît Sagot with:
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Heike Zinsmeister Germany
Berthold Crysmann Germany
Raúl Aranovich United States
Alain Polguère Canada
Paola Monachesi Netherlands
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Frank Van Eynde relative to Benoît Sagot France Benoît Sagot's profile →
Citations per field
00.5×2.9×
Benoît Sagot · 1×
Citations per year

Countries citing papers authored by Frank Van Eynde

Since Specialization
Citations

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

Fields of papers citing papers by Frank Van Eynde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Van Eynde. 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 Frank Van Eynde. The network helps show where Frank Van Eynde may publish in the future.

Co-authorship network of co-authors of Frank Van Eynde

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Van Eynde. A scholar is included among the top collaborators of Frank Van Eynde 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 Frank Van Eynde. Frank Van Eynde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3
AfriBooms: an online treebank for Afrikaans
3
4 1
5 2
6 3
7
Example-Based Treebank Querying
22
8
A treebank-driven investigation of predicative complements in Dutch : An efficient, practical, actually usable approach
1
9 6
10
Proceedings of the Seventh International Workshop on Treebanks and Linguistic Theories (TLT 7)
0
11 19
12
Discovery of association rules between syntactic variables. Data mining the Syntactic Atlas of the Dutch dialects.
1
13
Argument Realization in Dutch.
1
14 2
15
Minor prepositions in nominal projections
1
16 3
17 6
18
Experiences from the Spoken Dutch Corpus Project
90
19 1
20
Lemmatisation and morphosyntactic annotation for the spoken Dutch corpus
3

About Frank Van Eynde

Frank Van Eynde is a scholar working on Language and Linguistics, Artificial Intelligence and Linguistics and Language, having authored 83 papers that have together received 480 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (54 papers), Syntax, Semantics, Linguistic Variation (29 papers) and Lexicography and Language Studies (12 papers). The work is most often cited by research in Language and Linguistics (236 citations), Artificial Intelligence (362 citations) and Linguistics and Language (48 citations). Frank Van Eynde has collaborated with scholars based in Belgium, Germany and South Korea. Frequent co-authors include Vincent Vandeghinste, R. Harald Baayen, Louis Boves, Michael Moortgat, Nelleke Oostdijk, Jean‐Pierre Martens, Dafydd Gibbon, Ineke Schuurman, Jakub Zavrel and Walter Daelemans. Their work appears in journals such as Computational Linguistics, Language Resources and Evaluation and Lingua.

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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