Statistical Text Normalization
Statistical Text Normalization is a text normalization approach that employs probabilistic models and statistical learning techniques to map non-standard text into standardized forms based on data-driven inference of linguistic regularities.
48
Publications
3.7K
Citations
124
Authors
53
Institutions
Publications per year
2017–2026
9
Parents
48
A phrase-based statistical model for SMS text normalization
AiTi Aw, Min Zhang, Juan Xiao et al. · 2006 · 280 citations · Full text
Computing, Computer Science, Corpus-based Translation Studies +15
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Pennsylvania State University
State College, United States
2 h-index
2 publications
489 citations
New York University
New York, United States
2 h-index
2 publications
489 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
756 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
4 publications
166 citations
Institute for Infocomm Research
Singapore, Singapore
2 h-index
8 publications
1.2K citations

Saint Louis University
St Louis, United States
1 h-index
1 publications
14 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
3 publications
39 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
1 publications
33 citations
1–8 of 53
Repository · 1 publications · 10 citations
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1 publications · 30 citations
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1 publications · 93 citations
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Repository · 1 publications · 81 citations
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LLC · 1 publications · 37 citations
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