Matthias Huck
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
- Speech Recognition and Synthesis
- Algorithms and Data Compression
-
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 52
- Topic Modeling 46
- Text Readability and Simplification 12
- Speech and dialogue systems 7
- Algorithms and Data Compression 6
- Speech Recognition and Synthesis 5
- Semantic Web and Ontologies 3
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- Biomedical Text Mining and Ontologies 6
- Co-authors
- Hermann Ney (23 shared papers)Philipp Koehn (14 shared papers)Barry Haddow (9 shared papers)Ondřej Bojar (6 shared papers)Christof Monz (3 shared papers)Christian Federmann (3 shared papers)Matt Post (3 shared papers)Markus Freitag (14 shared papers)
- Journals
- Computer Speech & Language (1 paper)Language Resources and Evaluation (1 paper)Machine Translation (1 paper)Le Praticien en Anesthésie Réanimation (1 paper)UvA-DARE (University of Amsterdam) (1 paper)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Matthias Huck
52 papers receiving 799 citations
Matthias Huck's Hit Papers
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 892
- Computer Vision and Pattern Recognition 188
- Human-Computer Interaction 17
- Language and Linguistics 26
- Health Informatics 3
Countries citing papers authored by Matthias Huck
This map shows the geographic impact of Matthias Huck'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 Matthias Huck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Huck more than expected).
Fields of papers citing papers by Matthias Huck
This network shows the impact of papers produced by Matthias Huck. 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 Matthias Huck. The network helps show where Matthias Huck may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthias Huck, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Findings of the 2019 Conference on Machine Translation (WMT19) Hit paper breakdown → | 2019 | 256 |
| 2 | 2015 | 159 | |
| 3 | Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models | 2010 | 66 |
| 4 | Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation | 2012 | 33 |
| 5 | 2017 | 31 | |
| 6 | Proceedings of the Ninth Workshop on Statistical Machine Translation | 2014 | 30 |
| 7 | Proceedings of the International Workshop on Spoken Language Translation (IWSLT 2013) | 2013 | 29 |
| 8 | 2014 | 26 | |
| 9 | The RWTH Aachen Machine Translation System for WMT 2010 | 2010 | 19 |
| 10 | 2012 | 15 | |
| 11 | A Phrase Orientation Model for Hierarchical Machine Translation | 2013 | 14 |
| 12 | Mixed domain vs. multi-domain statistical machine translation | 2015 | 14 |
| 13 | 2014 | 13 | |
| 14 | 2017 | 12 | |
| 15 | A Comparison of Various Types of Extended Lexicon Models for Statistical Machine Translation | 2010 | 11 |
| 16 | 2016 | 11 | |
| 17 | 2019 | 10 | |
| 18 | Discriminative Reordering Extensions for Hierarchical Phrase-Based Machine Translation | 2012 | 10 |
| 19 | 2013 | 10 | |
| 20 | 2019 | 9 |
About Matthias Huck
Matthias Huck is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 928 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (52 papers), Topic Modeling (46 papers), Text Readability and Simplification (12 papers), Speech and dialogue systems (7 papers), Biomedical Text Mining and Ontologies (6 papers), Algorithms and Data Compression (6 papers), Speech Recognition and Synthesis (5 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Artificial Intelligence (892 citations), Computer Vision and Pattern Recognition (188 citations), Human-Computer Interaction (17 citations), Language and Linguistics (26 citations) and Health Informatics (3 citations). Matthias Huck has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Hermann Ney, Philipp Koehn, Barry Haddow, Ondřej Bojar, Christof Monz, Christian Federmann, Matt Post, Markus Freitag, David Vilar and Dan J. Stein. Their work appears in journals such as Computer Speech & Language, Language Resources and Evaluation, Machine Translation, Le Praticien en Anesthésie Réanimation and UvA-DARE (University of Amsterdam).
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.