Artiklar med krav på offentlig åtkomst - Christof MonzLäs mer
Tillgängliga någonstans: 22
Findings of the 2017 Conference on Machine Translation (WMT17)
O Bojar, R Chatterjee, C Federmann, Y Graham, B Haddow, S Huang, ...
Proceedings of the Second Conference on Machine Translation, 169-214, 2017
Krav: European Commission
Findings of the 2019 Conference on Machine Translation (WMT19)
L Barrault, O Bojar, MR Costa-jussà, C Federmann, M Fishel, Y Graham, ...
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
Krav: German Research Foundation, Science Foundation Ireland, European Commission …
Findings of the 2022 Conference on Machine Translation (WMT22)
T Kocmi, R Bawden, O Bojar, A Dvorkovich, C Federmann, M Fishel, ...
Proceedings of the Seventh Conference on Machine Translation (WMT), 1-45, 2022
Krav: Science Foundation Ireland, European Commission, Agence Nationale de la …
Ensemble Learning for Multi-Source Neural Machine Translation
E Garmash, C Monz
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Krav: Netherlands Organisation for Scientific Research
Findings of the 2023 conference on machine translation (WMT23): LLMs are here but not quite there yet
T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ...
WMT23-Eighth Conference on Machine Translation, 198--216, 2023
Krav: German Research Foundation, Science Foundation Ireland, European Commission …
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
P Ren, Z Chen, C Monz, J Ma, M de Rijke
Proceedings of the AAAI Conference on Artificial Intelligence, 8697-8704, 2020
Krav: National Natural Science Foundation of China
Conversations with search engines: SERP-based conversational response generation
P Ren, Z Chen, Z Ren, E Kanoulas, C Monz, M De Rijke
ACM Transactions on Information Systems (TOIS) 39 (4), 1-29, 2021
Krav: National Natural Science Foundation of China, Netherlands Organisation for …
RefNet: A Reference-Aware Network for Background Based Conversation
C Meng, P Ren, Z Chen, C Monz, J Ma, M de Rijke
Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI …, 2019
Krav: National Natural Science Foundation of China
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data
P Dakwale, C Monz
Proceedings of the 16th Machine Translation Summit (MT-Summit 2017), 156-169, 2017
Krav: Netherlands Organisation for Scientific Research
Make pre-trained model reversible: From parameter to memory efficient fine-tuning
B Liao, S Tan, C Monz
Advances in Neural Information Processing Systems 36, 15186-15209, 2023
Krav: Netherlands Organisation for Scientific Research
A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation
M van der Wees, A Bisazza, C Monz
Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT), 43-50, 2016
Krav: Netherlands Organisation for Scientific Research
Findings of the WMT24 general machine translation shared task: the LLM era is here but mt is not solved yet
T Kocmi, E Avramidis, R Bawden, O Bojar, A Dvorkovich, C Federmann, ...
Proceedings of the Ninth Conference on Machine Translation, 1–46, 2024
Krav: Science Foundation Ireland, European Commission, Agence Nationale de la …
Evaluation of Machine Translation Performance Across Multiple Genres and Languages
M van der Wees, A Bisazza, C Monz
Language Resources and Evaluation Conference (LREC-2018), 3822-3827, 2018
Krav: Netherlands Organisation for Scientific Research
Measuring the Effect of Conversational Aspects on Machine Translation Quality
M van der Wees, A Bisazza, C Monz
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Krav: Netherlands Organisation for Scientific Research
NonFactS: NonFactual summary generation for factuality evaluation in document summarization
A Soleimani, C Monz, M Worring
Findings of the association for computational linguistics: ACL 2023, 6405-6419, 2023
Krav: Netherlands Organisation for Scientific Research
Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation
P Dakwale, C Monz
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
Krav: Netherlands Organisation for Scientific Research
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog
K Naszádi, P Manggala, C Monz
Findings of the Association for Computational Linguistics: EMNLP 2023, 14988 …, 2023
Krav: Netherlands Organisation for Scientific Research
Improving Neural Machine Translation Using Noisy Parallel Data through Distillation
P Dakwale, C Monz
Proceedings of the 17th Machine Translation Summit (MT-Summit), 118-127, 2019
Krav: Netherlands Organisation for Scientific Research
How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data
D Wu, S Tan, Y Meng, D Stap, C Monz
Findings of the Association for Computational Linguistics ACL 2024, 15092-15108, 2024
Krav: Netherlands Organisation for Scientific Research
Uva-MT’s participation in the WMT24 general translation shared task
S Tan, D Stap, S Aycock, C Monz, D Wu
Proceedings of the Ninth Conference on Machine Translation, 176-184, 2024
Krav: Netherlands Organisation for Scientific Research
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