N-gram Extraction
N-Gram Extraction is a computational linguistics technique that identifies and isolates contiguous sequences of n items—such as words, syllables, or characters—from a given text corpus to enable quantitative language analysis, distinguished by its focus on fixed-length co-occurring linguistic units for downstream natural language processing tasks.
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3.3K
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317
Authors
132
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2017–2026
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Susan Dumais, Michele Banko, Eric Brill et al. · 2002 · 289 citations
Vector-based natural language call routing
Jennifer Chu‐Carroll, Bob Carpenter · 1999 · 172 citations
Locating complex named entities in web text
Doug Downey, Matthew Broadhead, Oren Etzioni · 2007 · 155 citations
MutantX-S: scalable malware clustering based on static features
Xin Hu, Sandeep Bhatkar, Kent Griffin et al. · 2013 · 89 citations
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IBM Research - Thomas J. Watson Research Center, United States
2 publications · 204 citations
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Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
12 publications
210 citations

University of Alberta
Edmonton, Canada
3 h-index
4 publications
118 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
2 h-index
3 publications
132 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
143 citations
University of Rio Grande and Rio Grande Community College
Rio Grande, United States
2 h-index
4 publications
146 citations
Universidade Federal do Rio Grande
Rio Grande, Brazil
2 h-index
2 publications
73 citations

National Taiwan University
Taipei, Taiwan
2 h-index
4 publications
81 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
72 citations
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Repository · 2 publications · 34 citations
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Conference · 2 publications · 23 citations
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Conference · 2 publications · 28 citations
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1 publications · 21 citations
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Repository · 1 publications · 34 citations
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