Dialect Feature Analysis
Dialect Feature Analysis is a forensic linguistic method that identifies and interprets regionally or socially distinctive language patterns in a text to attribute authorship or infer geographic or social provenance.
29
Publications
831
Citations
74
Authors
26
Institutions
Publications per year
2017–2026
18
Parents
29
Systematic Literature Review of Dialectal Arabic: Identification and Detection
Ashraf Elnagar, Sane Yagi, Ali Bou Nassif et al. · IEEE Access · 2021 · 81 citations · Full text
Improved Sentence-Level Arabic Dialect Classification
Christoph Tillmann, Saab Mansour, Yaser Al-Onaizan · 2014 · 43 citations · Full text
Computing, Arabic, Computer Science +15
Exploiting Convolutional Neural Networks for Phonotactic Based Dialect Identification
Maryam Najafian, Sameer Khurana, Suwon Shan et al. · 2018 · 38 citations
1–5 of 29
74
National Institute of Technology Karnataka, India
4 publications · 111 citations
4
h-index
National Institute of Technology Karnataka, India
4 publications · 111 citations
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 74
26

National Institute of Technology Karnataka
Mangaluru, India
4 h-index
9 publications
258 citations
University of Augsburg
Augsburg, Germany
2 h-index
3 publications
69 citations
Siddaganga Institute of Technology
Tumakuru, India
2 h-index
2 publications
59 citations
Sri Siddhartha Medical College
Tumakuru, India
2 h-index
2 publications
64 citations
University of Bern
Bern, Switzerland
1 h-index
1 publications
23 citations
Virginia Tech
Blacksburg, United States
1 h-index
2 publications
26 citations
Queen Mary University of London
London, United Kingdom
1 h-index
2 publications
280 citations
West Virginia University
Morgantown, United States
1 h-index
1 publications
29 citations
1–8 of 26
3 publications · 223 citations
3
h-index
Conference · 2 publications · 55 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 28 citations
1
h-index
IJNLC · 1 publications · 11 citations
1
h-index
1–5