Rule-based Machine Translation
Rule-Based Machine Translation is a machine translation paradigm that belongs to the class of knowledge-driven translation approaches, distinguished by its reliance on handcrafted linguistic rules and dictionaries to convert source language texts into target language outputs through systematic syntactic and semantic transformations.
244
Publications
7.6K
Citations
594
Authors
186
Institutions
Publications per year
2017–2026
46
244
Scalable inference and training of context-rich syntactic translation models
Michel Galley, Jonathan Graehl, Kevin Knight et al. · 2006 · 419 citations · Full text
Statistical Phrase-Based Post-Editing
Michel Simard, Cyril Goutte, Pierre Isabelle · NPARC · 2007 · 168 citations · Full text
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186

University of Alicante
Alicante, Spain
10 h-index
24 publications
1.8K citations

Banaras Hindu University
Varanasi, India
7 h-index
12 publications
240 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
16 publications
671 citations

University of Edinburgh
Edinburgh, United Kingdom
6 h-index
10 publications
427 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
6 h-index
15 publications
635 citations
Columbia University
New York, United States
5 h-index
8 publications
726 citations
Dublin City University
Dublin, Ireland
5 h-index
7 publications
172 citations
NTT (Japan)
Tokyo, Japan
5 h-index
19 publications
565 citations
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5 publications · 147 citations
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4 publications · 107 citations
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4 publications · 374 citations
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Repository · 3 publications · 46 citations
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Repository · 3 publications · 94 citations
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