N-gram Classification
N-Gram Classification is a computational linguistic method that categorizes sequences of n-adjacent tokens in textual data according to predefined lexical, syntactic, or semantic criteria within natural language processing tasks.
247
Publications
13.5K
Citations
700
Authors
267
Institutions
Publications per year
2017–2026
88
Parents
247
N-gram-based text categorization
William B. Cavnar, John M. Trenkle · 1994 · 1.5K citations
On the naturalness of software
Abram Hindle, Earl T. Barr, Zhendong Su et al. · 2012 · 569 citations
On the naturalness of software
Abram Hindle, Earl T. Barr, Zhendong Su et al. · 2012 · 418 citations
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267
Dalhousie University
Halifax, Canada
5 h-index
14 publications
1.3K citations
Stanford University
Stanford, United States
4 h-index
9 publications
2.5K citations

University of Alberta
Edmonton, Canada
4 h-index
8 publications
428 citations

Instituto Politécnico Nacional
Mexico City, Mexico
4 h-index
13 publications
1.4K citations
University of Antwerp
Antwerp, Belgium
3 h-index
11 publications
221 citations
Max Planck Institute for Psycholinguistics
Nijmegen, The Netherlands
3 h-index
4 publications
203 citations

University of Belgrade
Belgrade, Serbia
3 h-index
5 publications
150 citations
Max Planck Society
Munich, Germany
3 h-index
4 publications
203 citations
1–8 of 267
Conference · 6 publications · 790 citations
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5 publications · 479 citations
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5 publications · 142 citations
5
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2 publications · 906 citations
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2 publications · 37 citations
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