Aleš Tamchyna
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Information Systems
- Language and Linguistics top 10%
- Co-authors
- Ondřej BojarPavel PecinaJohannes LevelingLucia SpeciaChristian FedermannPhilipp KoehnMatt PostHervé Saint-Amand
- Topics
- Natural Language Processing Techniques (26 papers)Topic Modeling (25 papers)Text Readability and Simplification (6 papers)
- Journals
- Artificial Intelligence in MedicineLanguage Resources and EvaluationMeeting of the Association for Computational Linguistics
In The Last Decade
Aleš Tamchyna
27 papers receiving 541 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 580
- Computer Vision and Pattern Recognition 124
- Molecular Biology 60
- Information Systems 32
- Language and Linguistics 22
Countries citing papers authored by Aleš Tamchyna
This map shows the geographic impact of Aleš Tamchyna'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 Aleš Tamchyna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleš Tamchyna more than expected).
Fields of papers citing papers by Aleš Tamchyna
This network shows the impact of papers produced by Aleš Tamchyna. 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 Aleš Tamchyna. The network helps show where Aleš Tamchyna may publish in the future.
Co-authorship network of co-authors of Aleš Tamchyna
This figure shows the co-authorship network connecting the top 25 collaborators of Aleš Tamchyna. A scholar is included among the top collaborators of Aleš Tamchyna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aleš Tamchyna. Aleš Tamchyna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Lexical and Morphological Choices in Machine Translation | 1 |
| 2 | 7 | |
| 3 | Czech Aspect-Based Sentiment Analysis: A New Dataset and Preliminary Results | 5 |
| 4 | 3 | |
| 5 | 335 | |
| 6 | HindEnCorp - Hindi-English and Hindi-only Corpus for Machine Translation | 63 |
| 7 | Improving Evaluation of English-Czech MT through Paraphrasing | 3 |
| 8 | 7 | |
| 9 | 17 | |
| 10 | Machine Translation within One Language as a Paraphrasing Technique Online. | 0 |
| 11 | 11 | |
| 12 | 11 | |
| 13 | Chimera -- Three Heads for English-to-Czech Translation | 14 |
| 14 | Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis | 6 |
| 15 | 4 | |
| 16 | Selecting Data for English-to-Czech Machine Translation | 5 |
| 17 | The Joy of Parallelism with CzEng 1.0 | 33 |
| 18 | Improving Translation Model by Monolingual Data | 33 |
| 19 | Named entities from Wikipedia for machine translation. | 11 |
| 20 | Czech-English Parallel Corpus 1.0 (CzEng 1.0) | 0 |
About Aleš Tamchyna
Aleš Tamchyna is a scholar working on Artificial Intelligence, Language and Linguistics and Developmental and Educational Psychology, having authored 29 papers that have together received 623 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (26 papers), Topic Modeling (25 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Artificial Intelligence (580 citations), Computer Vision and Pattern Recognition (124 citations) and Language and Linguistics (22 citations). Aleš Tamchyna has collaborated with scholars based in Czechia, Germany and Ireland. Frequent co-authors include Ondřej Bojar, Pavel Pecina, Johannes Leveling, Lucia Specia, Christian Federmann, Philipp Koehn, Matt Post, Hervé Saint-Amand, Christof Monz and Christian Buck. Their work appears in journals such as Artificial Intelligence in Medicine, Language Resources and Evaluation and Meeting of the Association for Computational Linguistics.
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.