Informal Text Normalization
Informal Text Normalization is a computational methodology within text normalization that specifically transforms non-standard, colloquial, or user-generated textual variants into standardized forms while preserving semantic accuracy, distinguishing itself from general text normalization by its focus on informal linguistic phenomena such as slang, abbreviations, and orthographic variations.
20
Publications
562
Citations
48
Authors
20
Institutions
Publications per year
2017–2026
5
Parents
20
1–5 of 20
48
4
h-index
3
h-index
1
h-index
1
h-index
1
h-index
1–5 of 48
20
The University of Texas at Dallas
Richardson, United States
3 h-index
6 publications
172 citations

Johns Hopkins University
Baltimore, United States
2 h-index
5 publications
111 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
106 citations
New York University
New York, United States
2 h-index
3 publications
91 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
3 publications
51 citations
Oregon Health & Science University
Portland, United States
1 h-index
1 publications
19 citations
FC Barcelona
Barcelona, Spain
1 h-index
3 publications
51 citations
Photon Spot (United States)
Monrovia, United States
1 h-index
1 publications
13 citations
1–8 of 20
1 publications · 34 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 17 citations
1
h-index
IJACSA · 1 publications · 21 citations
1
h-index
1–5