Carlos Escolano
Carlos Escolano
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Zitiert von
Zitiert von
End-to-End Speech Translation with the Transformer.
LC Vila, C Escolano, JAR Fonollosa, MR Costa-Jussa
IberSPEECH, 60-63, 2018
Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders
C Escolano, MR Costa-jussà, JAR Fonollosa, M Artetxe
arXiv preprint arXiv:2004.06575, 2020
From bilingual to multilingual neural‐based machine translation by incremental training
C Escolano, MR Costa‐Jussà, JAR Fonollosa
Journal of the Association for Information Science and Technology 72 (2 …, 2021
Towards opening the black box of neural machine translation: Source and target interpretations of the transformer
J Ferrando, GI Gállego, B Alastruey, C Escolano, MR Costa-jussà
arXiv preprint arXiv:2205.11631, 2022
Byte-based neural machine translation
M Ruiz Costa-Jussà, C Escolano Peinado, JA Rodríguez Fonollosa
Proceedings of the First Workshop on Subword and Character Level Models in …, 2017
The TALP-UPC machine translation systems for WMT19 news translation task: Pivoting techniques for low resource MT
N Casas, JAR Fonollosa, C Escolano, C Basta, MR Costa-jussà
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
Gender bias in multilingual neural machine translation: The architecture matters
MR Costa-jussà, C Escolano, C Basta, J Ferrando, R Batlle, ...
arXiv preprint arXiv:2012.13176, 2020
Interpreting gender bias in neural machine translation: Multilingual architecture matters
MR Costa-jussà, C Escolano, C Basta, J Ferrando, R Batlle, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11855 …, 2022
End-to-end speech translation with pre-trained models and adapters: Upc at iwslt 2021
GI Gállego, I Tsiamas, C Escolano, JAR Fonollosa, MR Costa-jussà
arXiv preprint arXiv:2105.04512, 2021
Enabling zero-shot multilingual spoken language translation with language-specific encoders and decoders
C Escolano, MR Costa-jussà, JAR Fonollosa, C Segura
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
Toxicity in multilingual machine translation at scale
MR Costa-jussà, E Smith, C Ropers, D Licht, J Maillard, J Ferrando, ...
arXiv preprint arXiv:2210.03070, 2022
The TALP-UPC system description for WMT20 news translation task: Multilingual adaptation for low resource MT
C Escolano, MR Costa-jussà, JAR Fonollosa
Proceedings of the Fifth Conference on Machine Translation, 134-138, 2020
Training multilingual machine translation by alternately freezing language-specific encoders-decoders
C Escolano, MR Costa-jussà, JAR Fonollosa, M Artetxe
arXiv preprint arXiv:2006.01594, 2020
The talp–upc spanish–english wmt biomedical task: Bilingual embeddings and char-based neural language model rescoring in a phrase-based system
M Ruiz Costa-Jussà, C España-i-Bonet, P Madhyastha, ...
ACL 2016: the 54th Annual Meeting of the Association for Computational …, 2016
Chinese-catalan: A neural machine translation approach based on pivoting and attention mechanisms
MR Costa-Jussa, N Casas, C Escolano, JAR Fonollosa
ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019
The TALP-UPC neural machine translation system for German/Finnish-English using the inverse direction model in rescoring
C Escolano, MR Costa-jussà, JAR Fonollosa
Proceedings of the Second Conference on Machine Translation, 283-287, 2017
Pretrained speech encoders and efficient fine-tuning methods for speech translation: UPC at IWSLT 2022
I Tsiamas, GI Gállego, C Escolano, J Fonollosa, MR Costa-jussà
Proceedings of the 19th International Conference on Spoken Language …, 2022
MR Costa-jussa, and JA Fonollosa,“
C Escolano
From bilingual to multilingual neural machine translation by incremental …, 2019
MR Costa-jussa,“
GI Gállego, I Tsiamas, C Escolano, JA Fonollosa
End-to-end speech translation with pretrained models and adapters: Upc at …, 2021
Multilingual, multi-scale and multi-layer visualization of intermediate representations
C Escolano, MR Costa-jussà, E Lacroux, PP Vázquez
arXiv preprint arXiv:1907.00810, 2019
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