David Chiang
Impact in
- Artificial Intelligence top 0.2%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
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- semigroups and automata theory
Papers in
-
- Natural Language Processing Techniques 72
- Speech Recognition and Synthesis 10
- Topic Modeling 10
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- semigroups and automata theory 22
- Co-authors
- Liang Huang (3 shared papers)Liang Huang (2 shared papers)Antonios Anastasopoulos (7 shared papers)Kevin K. Knight (7 shared papers)Yee Seng Chan (2 shared papers)Hwee Tou Ng (2 shared papers)Philip Resnik (4 shared papers)Yuval Marton (2 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (3 papers)Journal of Computational Biology (2 papers)Computational Linguistics (2 papers)Machine Translation (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
David Chiang
102 papers receiving 4.1k citations
David Chiang's Hit Papers
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 4.3k
- Computational Theory and Mathematics 180
- Language and Linguistics 97
- Computer Vision and Pattern Recognition 96
- Information Systems 82
Countries citing papers authored by David Chiang
This map shows the geographic impact of David Chiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chiang more than expected).
Fields of papers citing papers by David Chiang
This network shows the impact of papers produced by David Chiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Chiang. The network helps show where David Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside David Chiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hierarchical Phrase-Based Translation Hit paper breakdown → | 2007 | 864 |
| 2 | A hierarchical phrase-based model for statistical machine translation Hit paper breakdown → | 2005 | 836 |
| 3 | Forest Rescoring: Faster Decoding with Integrated Language Models | 2007 | 225 |
| 4 | 2005 | 221 | |
| 5 | Word Sense Disambiguation Improves Statistical Machine Translation | 2007 | 214 |
| 6 | 2008 | 188 | |
| 7 | 2009 | 170 | |
| 8 | 2013 | 150 | |
| 9 | 2000 | 129 | |
| 10 | 2018 | 128 | |
| 11 | 2016 | 104 | |
| 12 | 2017 | 101 | |
| 13 | Learning to Translate with Source and Target Syntax | 2010 | 84 |
| 14 | 2006 | 83 | |
| 15 | 2018 | 81 | |
| 16 | 2000 | 68 | |
| 17 | 2002 | 57 | |
| 18 | Hope and fear for discriminative training of statistical translation models | 2012 | 57 |
| 19 | 2018 | 49 | |
| 20 | An Introduction to Synchronous Grammars | 2006 | 46 |
About David Chiang
David Chiang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Language and Linguistics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 106 papers that have together received 4.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (72 papers), semigroups and automata theory (22 papers), Speech Recognition and Synthesis (10 papers), Topic Modeling (10 papers), Syntax, Semantics, Linguistic Variation (7 papers), RNA and protein synthesis mechanisms (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Graph Theory and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Computational Theory and Mathematics (180 citations), Language and Linguistics (97 citations), Computer Vision and Pattern Recognition (96 citations) and Information Systems (82 citations). David Chiang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Liang Huang, Liang Huang, Antonios Anastasopoulos, Kevin K. Knight, Yee Seng Chan, Hwee Tou Ng, Philip Resnik, Yuval Marton, Daniel M. Bikel and Wei Wang. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Journal of Computational Biology, Computational Linguistics, Machine Translation and IEEE Transactions on Pattern Analysis and Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.