Viktor Trón
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Language and Linguistics top 10%
- Lexicography and Language Studies
Papers in ⓘ
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- Natural Language Processing Techniques 6
- Topic Modeling 5
- Text Readability and Simplification 2
- Speech Recognition and Synthesis 2
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- Rough Sets and Fuzzy Logic 1
- Co-authors
- Péter Halácsy (7 shared papers)András Kornai (6 shared papers)László Németh (3 shared papers)Dániel Varga (3 shared papers)Csaba Oravecz (2 shared papers)Viktor Nagy (1 shared paper)Péter Vajda (1 shared paper)Eszter Simon (1 shared paper)
- Journals
- Language Resources and Evaluation (4 papers)SZTAKI Publication Repository (Hungarian Academy of Sciences) (1 paper)
- Partner nations
- United KingdomHungary
In The Last Decade
Viktor Trón
8 papers receiving 150 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 125
- Language and Linguistics 33
- Developmental and Educational Psychology 25
- Linguistics and Language 7
- Experimental and Cognitive Psychology 20
Countries citing papers authored by Viktor Trón
This map shows the geographic impact of Viktor Trón'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 Viktor Trón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Trón more than expected).
Fields of papers citing papers by Viktor Trón
This network shows the impact of papers produced by Viktor Trón. 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 Viktor Trón. The network helps show where Viktor Trón may publish in the future.
Co-authors
The 10 scholars most cited alongside Viktor Trón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Creating open language resources for Hungarian | 2004 | 54 |
| 2 | 2005 | 41 | |
| 3 | 2006 | 28 | |
| 4 | Morphdb.hu: Hungarian lexical database and morphological grammar | 2006 | 21 |
| 5 | Leveraging the open source ispell codebase for minority language analysis | 2004 | 14 |
| 6 | Using a morphological analyzer in high precision POS tagging of Hungarian | 2006 | 10 |
| 7 | On the Durational Reduction of Repeated Mentions: Recency and Speaker Effects | 2008 | 2 |
| 8 | Általános célú morfológiai elemző kimeneti formalizmusa | 2004 | 2 |
About Viktor Trón
Viktor Trón is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Language and Linguistics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 8 papers that have together received 172 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers), Lexicography and Language Studies (2 papers), Text Readability and Simplification (2 papers), Speech Recognition and Synthesis (2 papers), Rough Sets and Fuzzy Logic (1 paper), Phonetics and Phonology Research (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (125 citations), Language and Linguistics (33 citations), Developmental and Educational Psychology (25 citations), Linguistics and Language (7 citations) and Experimental and Cognitive Psychology (20 citations). Viktor Trón has collaborated with scholars based in United Kingdom and Hungary. Frequent co-authors include Péter Halácsy, András Kornai, László Németh, Dániel Varga, Csaba Oravecz, Viktor Nagy, Péter Vajda, Eszter Simon, Péter Rebrus and Péter Vajda. Their work appears in journals such as Language Resources and Evaluation and SZTAKI Publication Repository (Hungarian Academy of Sciences).
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.