Machine-readable Transliteration
Machine-Readable Transliteration is a transliteration convention that systematically represents characters from one writing system into another using standardized, algorithmically processable formats to ensure unambiguous interpretation by computational systems.
20
Publications
495
Citations
55
Authors
16
Institutions
Publications per year
2017–2026
11
Parents
20
A generic framework for machine transliteration
A. Kumaran, Tobias Kellner · 2007 · 60 citations
Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration
Shreya Khare, Ashish Mittal, Anuj Diwan et al. · 2021 · 34 citations
Reading Akkadian cuneiform using natural language processing
Shai Gordin, Gai Gutherz, Ariel Elazary et al. · PLoS ONE · 2020 · 30 citations · Full text
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Universitas Pendidikan Ganesha
Singaraja, Indonesia
4 h-index
14 publications
278 citations
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
188 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
141 citations
New York University
New York, United States
1 h-index
1 publications
26 citations
GLA University
Mathura, India
1 h-index
2 publications
30 citations
Ludwig-Maximilians-Universität München
Munich, Germany
1 h-index
1 publications
30 citations
Microsoft Research (India)
Bengaluru, India
1 h-index
2 publications
120 citations
Laboratoire Informatique, Image et Interaction (L3i)
La Rochelle, France
1 h-index
2 publications
26 citations
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2 publications · 50 citations
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Conference · 1 publications · 15 citations
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1 publications · 15 citations
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1 publications · 15 citations
1
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1 publications · 30 citations
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