Antti-Veikko Rosti
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition
- Information Systems
- Signal Processing
- Co-authors
- Spyros MatsoukasRichard SchwartzBing ZhangNecip Fazıl AyanBing XiangBonnie J. DorrVisa KoivunenJacob Devlin
- Topics
- Natural Language Processing Techniques (10 papers)Topic Modeling (8 papers)Speech Recognition and Synthesis (4 papers)
- Journals
- Empirical Methods in Natural Language ProcessingNorth American Chapter of the Association for Computational LinguisticsMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Antti-Veikko Rosti
14 papers receiving 327 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 387
- Molecular Biology 35
- Computer Vision and Pattern Recognition 35
- Information Systems 28
- Signal Processing 19
Countries citing papers authored by Antti-Veikko Rosti
This map shows the geographic impact of Antti-Veikko Rosti'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 Antti-Veikko Rosti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antti-Veikko Rosti more than expected).
Fields of papers citing papers by Antti-Veikko Rosti
This network shows the impact of papers produced by Antti-Veikko Rosti. 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 Antti-Veikko Rosti. The network helps show where Antti-Veikko Rosti may publish in the future.
Co-authorship network of co-authors of Antti-Veikko Rosti
This figure shows the co-authorship network connecting the top 25 collaborators of Antti-Veikko Rosti. A scholar is included among the top collaborators of Antti-Veikko Rosti 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 Antti-Veikko Rosti. Antti-Veikko Rosti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding | 3 |
| 4 | System Combination Using Discriminative Cross-Adaptation | 2 |
| 5 | Expected BLEU Training for Graphs: BBN System Description for WMT11 System Combination Task | 16 |
| 6 | Combining Unsupervised and Supervised Alignments for MT: An Empirical Study | 2 |
| 7 | BBN System Description for WMT10 System Combination Task | 21 |
| 8 | 1 | |
| 9 | 80 | |
| 10 | 12 | |
| 11 | 37 | |
| 12 | Improved Word-Level System Combination for Machine Translation | 86 |
| 13 | Combining Outputs from Multiple Machine Translation Systems | 114 |
| 14 | 16 |
About Antti-Veikko Rosti
Antti-Veikko Rosti is a scholar working on Artificial Intelligence, Signal Processing and Human-Computer Interaction, having authored 14 papers that have together received 397 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Artificial Intelligence (387 citations), Signal Processing (19 citations) and Computer Vision and Pattern Recognition (35 citations). Antti-Veikko Rosti has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Spyros Matsoukas, Richard Schwartz, Bing Zhang, Necip Fazıl Ayan, Bing Xiang, Bonnie J. Dorr, Bing Zhang, Bing Zhang, Bing Zhang and Visa Koivunen. Their work appears in journals such as Empirical Methods in Natural Language Processing, North American Chapter of the Association for Computational Linguistics 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.