Maximiliana Behnke

Senior Research Engineer

Publications

Afficher par:

- Edinburgh’s Submission to the WMT 2022 Efficiency Task
  
  Nikolay Bogoychev, Maximiliana Behnke, J. van der Linde, Graeme Nail, Kenneth Heafield, Biao Zhang, Sidharth Kashyap
  
  Proceedings of the Seventh Conference on Machine Translation (WMT) | December 2022
  
  Publication
- Structural pruning for speed in neural machine translation
  
  Maximiliana Behnke
  
  The University of Edinburgh School of Informatics | May 2022
  
  Publication
- Pruning Neural Machine Translation for Speed Using Group Lasso
  
  Maximiliana Behnke, Kenneth Heafield
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication PDF
- Efficient Machine Translation with Model Pruning and Quantization
  
  Maximiliana Behnke, Nikolay Bogoychev, Alham Fikri Aji, Kenneth Heafield, Graeme Nail, Qianqian Zhu, Svetlana Tchistiakova, J. V. D. Linde, Pinzhen Chen, Sidharth Kashyap, Roman Grundkiewicz
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication
- Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation
  
  Maximiliana Behnke, Kenneth Heafield
  
  Empirical Methods in Natural Language Processing (EMNLP) 2020 | November 2020
  
  DOI PDF
- Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task
  
  Nikolay Bogoychev, Roman Grundkiewicz, Alham Fikri Aji, Maximiliana Behnke, Kenneth Heafield, Sidharth Kashyap, Emmanouil Farsarakis, M. Chudyk
  
  Proceedings of the Fourth Workshop on Neural Generation and Translation | July 2020
  
  DOI PDF
- Improving Machine Translation of Educational Content via Crowdsourcing
  
  Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanan, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis
  
  11th Edition of the Language Resources and Evaluation Conference | May 2018
  
  Publication

- Edinburgh’s Submission to the WMT 2022 Efficiency Task
  
  Nikolay Bogoychev, Maximiliana Behnke, J. van der Linde, Graeme Nail, Kenneth Heafield, Biao Zhang, Sidharth Kashyap
  
  Proceedings of the Seventh Conference on Machine Translation (WMT) | December 2022
  
  Publication
- Structural pruning for speed in neural machine translation
  
  Maximiliana Behnke
  
  The University of Edinburgh School of Informatics | May 2022
  
  Publication
- Pruning Neural Machine Translation for Speed Using Group Lasso
  
  Maximiliana Behnke, Kenneth Heafield
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication PDF
- Efficient Machine Translation with Model Pruning and Quantization
  
  Maximiliana Behnke, Nikolay Bogoychev, Alham Fikri Aji, Kenneth Heafield, Graeme Nail, Qianqian Zhu, Svetlana Tchistiakova, J. V. D. Linde, Pinzhen Chen, Sidharth Kashyap, Roman Grundkiewicz
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication
- Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation
  
  Maximiliana Behnke, Kenneth Heafield
  
  Empirical Methods in Natural Language Processing (EMNLP) 2020 | November 2020
  
  DOI PDF
- Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task
  
  Nikolay Bogoychev, Roman Grundkiewicz, Alham Fikri Aji, Maximiliana Behnke, Kenneth Heafield, Sidharth Kashyap, Emmanouil Farsarakis, M. Chudyk
  
  Proceedings of the Fourth Workshop on Neural Generation and Translation | July 2020
  
  DOI PDF
- Edinburgh’s Submission to the WMT 2022 Efficiency Task
  
  Nikolay Bogoychev, Maximiliana Behnke, J. van der Linde, Graeme Nail, Kenneth Heafield, Biao Zhang, Sidharth Kashyap
  
  Proceedings of the Seventh Conference on Machine Translation (WMT) | December 2022
  
  Publication
- Structural pruning for speed in neural machine translation
  
  Maximiliana Behnke
  
  The University of Edinburgh School of Informatics | May 2022
  
  Publication
- Pruning Neural Machine Translation for Speed Using Group Lasso
  
  Maximiliana Behnke, Kenneth Heafield
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication PDF
- Efficient Machine Translation with Model Pruning and Quantization
  
  Maximiliana Behnke, Nikolay Bogoychev, Alham Fikri Aji, Kenneth Heafield, Graeme Nail, Qianqian Zhu, Svetlana Tchistiakova, J. V. D. Linde, Pinzhen Chen, Sidharth Kashyap, Roman Grundkiewicz
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication
- Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation
  
  Maximiliana Behnke, Kenneth Heafield
  
  Empirical Methods in Natural Language Processing (EMNLP) 2020 | November 2020
  
  DOI PDF
- Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task
  
  Nikolay Bogoychev, Roman Grundkiewicz, Alham Fikri Aji, Maximiliana Behnke, Kenneth Heafield, Sidharth Kashyap, Emmanouil Farsarakis, M. Chudyk
  
  Proceedings of the Fourth Workshop on Neural Generation and Translation | July 2020
  
  DOI PDF
- Improving Machine Translation of Educational Content via Crowdsourcing
  
  Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanan, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis
  
  11th Edition of the Language Resources and Evaluation Conference | May 2018
  
  Publication

- Edinburgh’s Submission to the WMT 2022 Efficiency Task
  
  Nikolay Bogoychev, Maximiliana Behnke, J. van der Linde, Graeme Nail, Kenneth Heafield, Biao Zhang, Sidharth Kashyap
  
  Proceedings of the Seventh Conference on Machine Translation (WMT) | December 2022
  
  Publication
- Pruning Neural Machine Translation for Speed Using Group Lasso
  
  Maximiliana Behnke, Kenneth Heafield
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication PDF
- Efficient Machine Translation with Model Pruning and Quantization
  
  Maximiliana Behnke, Nikolay Bogoychev, Alham Fikri Aji, Kenneth Heafield, Graeme Nail, Qianqian Zhu, Svetlana Tchistiakova, J. V. D. Linde, Pinzhen Chen, Sidharth Kashyap, Roman Grundkiewicz
  
  Proceedings of the Sixth Conference on Machine Translation | November 2021
  
  Publication
- Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation
  
  Maximiliana Behnke, Kenneth Heafield
  
  Empirical Methods in Natural Language Processing (EMNLP) 2020 | November 2020
  
  DOI PDF
- Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task
  
  Nikolay Bogoychev, Roman Grundkiewicz, Alham Fikri Aji, Maximiliana Behnke, Kenneth Heafield, Sidharth Kashyap, Emmanouil Farsarakis, M. Chudyk
  
  Proceedings of the Fourth Workshop on Neural Generation and Translation | July 2020
  
  DOI PDF
- Improving Machine Translation of Educational Content via Crowdsourcing
  
  Maximiliana Behnke, Antonio Valerio Miceli Barone, Rico Sennrich, Vilelmini Sosoni, Thanasis Naskos, Eirini Takoulidou, Maria Stasimioti, Menno van Zaanan, Sheila Castilho, Federico Gaspari, Panayota Georgakopoulou, Valia Kordoni, Markus Egg, Katia Lida Kermanidis
  
  11th Edition of the Language Resources and Evaluation Conference | May 2018
  
  Publication
- Structural pruning for speed in neural machine translation
  
  Maximiliana Behnke
  
  The University of Edinburgh School of Informatics | May 2022
  
  Publication

Maximiliana Behnke

Publications

Edinburgh’s Submission to the WMT 2022 Efficiency Task

Structural pruning for speed in neural machine translation

Pruning Neural Machine Translation for Speed Using Group Lasso

Efficient Machine Translation with Model Pruning and Quantization

Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task

Improving Machine Translation of Educational Content via Crowdsourcing

Edinburgh’s Submission to the WMT 2022 Efficiency Task

Structural pruning for speed in neural machine translation

Pruning Neural Machine Translation for Speed Using Group Lasso

Efficient Machine Translation with Model Pruning and Quantization

Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task

Edinburgh’s Submission to the WMT 2022 Efficiency Task

Structural pruning for speed in neural machine translation

Pruning Neural Machine Translation for Speed Using Group Lasso

Efficient Machine Translation with Model Pruning and Quantization

Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task

Improving Machine Translation of Educational Content via Crowdsourcing

Edinburgh’s Submission to the WMT 2022 Efficiency Task

Pruning Neural Machine Translation for Speed Using Group Lasso

Efficient Machine Translation with Model Pruning and Quantization

Losing Heads in the Lottery: Pruning Transformer Attention in Neural Machine Translation

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task

Improving Machine Translation of Educational Content via Crowdsourcing

Structural pruning for speed in neural machine translation

Contact Maximiliana Behnke

Microsoft Research Lab – Cambridge