Hélène Bonneau-Maynard
- Artificial Intelligence top 5%
- Signal Processing
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Language and Linguistics
- Co-authors
- Sophie RossetLaurence DevillersLori LamelAlexandre AllauzenJean‐Luc GauvainFlorence LefèvreS. BennacefChristelle Ayache
- Topics
- Natural Language Processing Techniques (15 papers)Speech and dialogue systems (13 papers)Topic Modeling (6 papers)
- Journals
- Language Resources and EvaluationProcedia Computer ScienceSPIRE - Sciences Po Institutional REpository
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Hélène Bonneau-Maynard
22 papers receiving 234 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 269
- Signal Processing 22
- Experimental and Cognitive Psychology 17
- Computer Vision and Pattern Recognition 9
- Language and Linguistics 9
Countries citing papers authored by Hélène Bonneau-Maynard
This map shows the geographic impact of Hélène Bonneau-Maynard'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 Hélène Bonneau-Maynard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Bonneau-Maynard more than expected).
Fields of papers citing papers by Hélène Bonneau-Maynard
This network shows the impact of papers produced by Hélène Bonneau-Maynard. 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 Hélène Bonneau-Maynard. The network helps show where Hélène Bonneau-Maynard may publish in the future.
Co-authorship network of co-authors of Hélène Bonneau-Maynard
This figure shows the co-authorship network connecting the top 25 collaborators of Hélène Bonneau-Maynard. A scholar is included among the top collaborators of Hélène Bonneau-Maynard 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 Hélène Bonneau-Maynard. Hélène Bonneau-Maynard 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 | LIMSI English-French speech translation system. | 1 |
| 3 | LIMSI @ WMT11 | 7 |
| 4 | 6 | |
| 5 | Training and Evaluation of POS Taggers on the French MULTITAG Corpus | 18 |
| 6 | 16 | |
| 7 | Modèles statistiques enrichis par la syntaxe pour la traduction automatique | 3 |
| 8 | A state-of-the-art Statistical Machine Translation System based on Moses | 4 |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 42 | |
| 12 | 14 | |
| 13 | Annotations for Dynamic Diagnosis of the Dialog State | 8 |
| 14 | Predictive Performance of Dialog Systems | 14 |
| 15 | 9 | |
| 16 | 19 | |
| 17 | Recent Developments in Spoken Language Sytems for Information Retrieval | 3 |
| 18 | 14 | |
| 19 | 32 | |
| 20 | 6 |
About Hélène Bonneau-Maynard
Hélène Bonneau-Maynard is a scholar working on Artificial Intelligence, Communication and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 281 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Speech and dialogue systems (13 papers) and Topic Modeling (6 papers). The work is most often cited by research in Artificial Intelligence (269 citations), Signal Processing (22 citations) and Experimental and Cognitive Psychology (17 citations). Hélène Bonneau-Maynard has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Sophie Rosset, Laurence Devillers, Lori Lamel, Alexandre Allauzen, Jean‐Luc Gauvain, Florence Lefèvre, S. Bennacef, Christelle Ayache, Djamel Mostefa and Adrian Kuhn. Their work appears in journals such as Language Resources and Evaluation, Procedia Computer Science and SPIRE - Sciences Po Institutional REpository.
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.