Holger Schwenk
- Artificial Intelligence top 0.2%
- Natural Language Processing Techniques 71
- Topic Modeling 55
- Speech Recognition and Synthesis 24
- Speech and dialogue systems 15
- Text Readability and Simplification 9
- Semantic Web and Ontologies 9
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- Multimodal Machine Learning Applications 5
- Signal Processing top 2%
- Speech and Audio Processing 9
- Information Systems top 2%
- General Social Sciences top 2%
- Co-authors
- Alexis ConneauLoïc BarraultMikel ArtetxeDouwe KielaAntoine BordesYoshua BengioJean‐Luc GauvainGuillaume Lample
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Holger Schwenk
83 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 3.5k
- Computer Vision and Pattern Recognition 816
- Signal Processing 317
- Information Systems 264
- General Social Sciences 26
Countries citing papers authored by Holger Schwenk
This map shows the geographic impact of Holger Schwenk'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 Holger Schwenk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Schwenk more than expected).
Fields of papers citing papers by Holger Schwenk
This network shows the impact of papers produced by Holger Schwenk. 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 Holger Schwenk. The network helps show where Holger Schwenk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Holger Schwenk, 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 | 2023 | 7 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 5 | |
| 5 | Multimodal and Multilingual Embeddings for Large-Scale Speech Mining | 2021 | 17 |
| 6 | Beyond English-Centric Multilingual Machine Translation | 2021 | 11 |
| 7 | Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyondbreakdown → | 2018 | 426 |
| 8 | Supervised Learning of Universal Sentence Representations from Natural\n Language Inference Databreakdown → | 2017 | 1002 |
| 9 | OCR Error Correction Using Statistical Machine Translation | 2015 | 15 |
| 10 | THE MATECAT TOOL | 2014 | 37 |
| 11 | LIUM's SMT Machine Translation Systems for WMT 2012 | 2012 | 0 |
| 12 | A General Framework to Weight Heterogeneous Parallel Data for Model Adaptation in Statistical MT. | 2012 | 1 |
| 13 | N-gram-based machine translation enhanced with neural networks for the French-English BTEC-IWSLT'10 task. | 2010 | 6 |
| 14 | Lium smt machine translation system for wmt 2010 | 2010 | 3 |
| 15 | Translation model adaptation for an Arabic/French news translation system by lightly-supervised training | 2009 | 21 |
| 16 | Investigations on large-scale lightly-supervised training for statistical machine translation | 2008 | 39 |
| 17 | Smooth Bilingual N-gram Translation | 2007 | 26 |
| 18 | Training Methods for Adaptive Boosting of Neural Networks | 1997 | 28 |
| 19 | Transformation Invariant Autoassociation with Application to Handwritten Character Recognition | 1994 | 36 |
| 20 | BEST/1 - Design of a tool for computer system capacity planning. | 1978 | 10 |
About Holger Schwenk
Holger Schwenk is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 3.8k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (71 papers), Topic Modeling (55 papers), Speech Recognition and Synthesis (24 papers), Speech and dialogue systems (15 papers), Speech and Audio Processing (9 papers), Text Readability and Simplification (9 papers), Semantic Web and Ontologies (9 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computer Vision and Pattern Recognition (816 citations) and Signal Processing (317 citations). Holger Schwenk has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Alexis Conneau, Loïc Barrault, Mikel Artetxe, Douwe Kiela, Antoine Bordes, Yoshua Bengio, Jean‐Luc Gauvain, Guillaume Lample, Ruty Rinott and Samuel Bowman.
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.