N-Gram Smoothing is a statistical technique in natural language processing that adjusts probability estimates of n-grams to account for unseen or rare sequences by redistributing probability mass from observed events to unobserved ones.
38
Publications
7.7K
Citations
92
Authors
35
Institutions
Publications per year
2017–2026
5
Parents
Publications
38
1–5 of 38
Authors
92
- JG
4
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- SF
4
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- SI
2
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- JČ
2
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- TM
2
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1–5 of 92
Institutions
35
Harvard University Press
Cambridge, United States
3 h-index
5 publications
2.9K citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
2.3K citations
Microsoft (United States)
Redmond, United States
3 h-index
4 publications
2.1K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
2 h-index
2 publications
2.2K citations
AT&T (United States)
Bedminster, United States
2 h-index
3 publications
326 citations
Universitat Politècnica de València
Valencia, Spain
2 h-index
2 publications
29 citations
University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
112 citations
Stanford University
Stanford, United States
2 h-index
14 publications
1.8K citations
1–8 of 35
Venues
- arXiv (Cornell University)
Repository · 3 publications · 296 citations
3
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- ArXiv.org
Repository · 3 publications · 865 citations
3
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- Speech Communication
1 publications · 48 citations
1
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- Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
1 publications · 23 citations
1
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- IEEE Transactions on Speech and Audio Processing
1 publications · 199 citations
1
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1–5