Character N-gram Analysis

Character N-Gram Analysis is a computational linguistic method that identifies authorship patterns by analyzing sequences of *n* contiguous characters within text, distinguishing itself from other stylometric techniques through its focus on sub-lexical, character-level n-grams as discriminative features for attributing authorship.

156

Publications

8.8K

Citations

379

Authors

178

Institutions

Publications per year

2017–2026

Parents

Authorship Attribution

Publications

156

chrF: character n-gram F-score for automatic MT evaluation

Maja Popović · 2015 · 970 citations · Full text

Computing, Computer Science, Computational Linguistics +15

Neural Machine Translation of Rare Words with Subword Units

Rico Sennrich, Barry Haddow, Alexandra Birch · 2016 · 446 citations · Full text

Computing, Computer Science, Translation Studies +14

N-GRAM-BASED AUTHOR PROFILES FOR AUTHORSHIP ATTRIBUTION

Vlado Ke, Fuchun Peng, Nick Cercone et al. · 2003 · 382 citations

Computing, Computer Science, Computational Linguistics +14

Character N-Gram Tokenization for European Language Text Retrieval

Paul McNamee, James Mayfield · Information Retrieval · 2003 · 329 citations · Full text

Computing, Computer Science, Computational Linguistics +13

chrF++: words helping character n-grams

Maja Popović · 2017 · 267 citations · Full text

Language Studies, English, Computational Linguistics +15

1–5 of 156

Authors

379

VK
Vlado Kešelj
Dalhousie University, Canada
5 publications · 320 citations
5
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GS
Grigori Sidorov
Instituto Politécnico Nacional, Mexico
4 publications · 93 citations
4
h-index
FP
Fuchun Peng
Yahoo (United States), United States
4 publications · 692 citations
4
h-index
EM
Evangelos Milios
Dalhousie University, Canada
4 publications · 101 citations
4
h-index
ES
Efstathios Stamatatos
University of the Aegean, Greece
4 publications · 343 citations
4
h-index