Peter Berck

402 citations
13 papers · 266 · h-index 7

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Algorithms and Data Compression
    • Text Readability and Simplification
    • Speech Recognition and Synthesis
    • Lexicography and Language Studies

Papers in

Peter Berck

13 papers receiving 218 citations

Peers

Peter Berck
Comparison fields: 5 of 46
  • Artificial Intelligence 224
  • Language and Linguistics 22
  • Software 5
  • Statistics, Probability and Uncertainty 9
  • Linguistics and Language 5
Replace Aleš Horák with:
Aleš Horák Czechia
Stephan Busemann Germany
Koustuv Sinha Canada
Eşref Adalı Türkiye
Manoj Pooleery United States
Bin Umino Japan
David Fagan Ireland
Santanu Pal India
Bob Carpenter United States
Weihua Luo China
Peter Berck relative to Aleš Horák Czechia Aleš Horák's profile →
Citations per field
00.5×
Aleš Horák · 1×
Citations per year

Countries citing papers authored by Peter Berck

Since Specialization
Citations

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

Fields of papers citing papers by Peter Berck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Peter Berck, 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 Peter Berck Line = papers co-authored together Peter Berck links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1996175
2 202026
3 200911
4 199711
5 201910
6 19968
7 20067
8 20176
9
Memory-based Grammatical Error Correction
20134
10
Memory-Based Part of Speech tagging
19963
11
Memory-based text correction for preposition and determiner errors
20122
12
Extending memory-based machine translation to phrases
20092
13 20081

About Peter Berck

Peter Berck is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Literature and Literary Theory and Information Systems, having authored 13 papers that have together received 266 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Topic Modeling (7 papers), Speech and dialogue systems (4 papers), Handwritten Text Recognition Techniques (2 papers), Text Readability and Simplification (2 papers), Fault Detection and Control Systems (2 papers), Digital Humanities and Scholarship (2 papers) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Artificial Intelligence (224 citations), Language and Linguistics (22 citations), Software (5 citations), Statistics, Probability and Uncertainty (9 citations) and Linguistics and Language (5 citations). Peter Berck has collaborated with scholars based in Netherlands, Belgium and Japan. Frequent co-authors include Steven Gillis, Walter Daelemans, Jakub Zavrel, Antal van den Bosch, Sławomir Nowaczyk, Sepideh Pashami, Reza Khoshkangini, Albert Russel, Iris Hendrickx and Corien Bary. Their work appears in journals such as Language Resources and Evaluation, Folia Linguistica, Information, North American Chapter of the Association for Computational Linguistics and Hogskolan Ihalmstad (Halmstad University).

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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