David Mareček
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
- Speech Recognition and Synthesis
- Language and Linguistics top 10%
Papers in
-
- Natural Language Processing Techniques 39
- Topic Modeling 33
- Text Readability and Simplification 15
- Semantic Web and Ontologies 7
- Speech and dialogue systems 7
- Authorship Attribution and Profiling 2
- Algorithms and Data Compression 2
-
- Biomedical Text Mining and Ontologies 2
- Co-authors
- Rudolf Rosa (14 shared papers)Zdeněk Žabokrtský (16 shared papers)Martin Popel (14 shared papers)Daniel Zeman (7 shared papers)Ondřej Bojar (9 shared papers)Jan Hajič (3 shared papers)Milan Straka (1 shared paper)Ondřej Dušek (7 shared papers)
- Journals
- Language Resources and Evaluation (5 papers)Artificial Intelligence in Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)Digital Repository (National Repository of Grey Literature) (1 paper)UvA-DARE (University of Amsterdam) (1 paper)
- Partner nations
- CzechiaUnited StatesNorway
In The Last Decade
David Mareček
41 papers receiving 346 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 382
- Language and Linguistics 37
- Health Informatics 4
- Cultural Studies 13
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by David Mareček
This map shows the geographic impact of David Mareček'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 Mareček with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mareček more than expected).
Fields of papers citing papers by David Mareček
This network shows the impact of papers produced by David Mareček. 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 Mareček. The network helps show where David Mareček may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mareček, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Joy of Parallelism with CzEng 1.0 | 2012 | 33 |
| 2 | DEPFIX: A System for Automatic Correction of Czech MT Outputs | 2012 | 32 |
| 3 | HamleDT: To Parse or Not to Parse? | 2012 | 32 |
| 4 | 2014 | 30 | |
| 5 | HamleDT 2.0: Thirty Dependency Treebanks Stanfordized | 2014 | 24 |
| 6 | Coordination Structures in Dependency Treebanks | 2013 | 22 |
| 7 | Two-step translation with grammatical post-processing | 2011 | 21 |
| 8 | 2018 | 18 | |
| 9 | Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing | 2013 | 17 |
| 10 | 2014 | 17 | |
| 11 | Maximum Entropy Translation Model in Dependency-Based MT Framework | 2010 | 16 |
| 12 | 2018 | 12 | |
| 13 | 2009 | 11 | |
| 14 | Tackling Sparse Data Issue in Machine Translation Evaluation | 2010 | 10 |
| 15 | Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors | 2012 | 9 |
| 16 | Formemes in English-Czech Deep Syntactic MT | 2012 | 9 |
| 17 | 2022 | 8 | |
| 18 | Automatic alignment of Czech and English deep syntactic dependency trees | 2008 | 7 |
| 19 | Gibbs Sampling with Treeness Constraint in Unsupervised Dependency Parsing | 2011 | 7 |
| 20 | Influence of Parser Choice on Dependency-Based MT | 2011 | 6 |
About David Mareček
David Mareček is a scholar working on Artificial Intelligence, Molecular Biology, Control and Systems Engineering, Computer Vision and Pattern Recognition and Organic Chemistry, having authored 44 papers that have together received 399 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (39 papers), Topic Modeling (33 papers), Text Readability and Simplification (15 papers), Semantic Web and Ontologies (7 papers), Speech and dialogue systems (7 papers), Biomedical Text Mining and Ontologies (2 papers), Authorship Attribution and Profiling (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Artificial Intelligence (382 citations), Language and Linguistics (37 citations), Health Informatics (4 citations), Cultural Studies (13 citations) and Computer Vision and Pattern Recognition (27 citations). David Mareček has collaborated with scholars based in Czechia, United States and Norway. Frequent co-authors include Rudolf Rosa, Zdeněk Žabokrtský, Martin Popel, Daniel Zeman, Ondřej Bojar, Jan Hajič, Milan Straka, Ondřej Dušek, Jan Štěpánek and Aleš Tamchyna. Their work appears in journals such as Language Resources and Evaluation, Artificial Intelligence in Medicine, SHILAP Revista de lepidopterología, Digital Repository (National Repository of Grey Literature) 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.