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Carlos Escolano
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Cited by
Cited by
Year
End-to-End Speech Translation with the Transformer.
LC Vila, C Escolano, JAR Fonollosa, MR Costa-Jussa
IberSPEECH, 60-63, 2018
442018
Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders
C Escolano, MR Costa-jussą, JAR Fonollosa, M Artetxe
arXiv preprint arXiv:2004.06575, 2020
242020
From bilingual to multilingual neural‐based machine translation by incremental training
C Escolano, MR Costa‐Jussą, JAR Fonollosa
Journal of the Association for Information Science and Technology 72 (2 …, 2021
162021
Byte-based neural machine translation
M Ruiz Costa-Jussą, C Escolano Peinado, JA Rodrķguez Fonollosa
Proceedings of the First Workshop on Subword and Character Level Models in …, 2017
162017
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-jussą
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
112019
Gender bias in multilingual neural machine translation: The architecture matters
MR Costa-jussą, C Escolano, C Basta, J Ferrando, R Batlle, ...
arXiv preprint arXiv:2012.13176, 2020
102020
The TALP-UPC system description for WMT20 news translation task: Multilingual adaptation for low resource MT
C Escolano, MR Costa-jussą, JAR Fonollosa
Proceedings of the Fifth Conference on Machine Translation, 134-138, 2020
102020
Training multilingual machine translation by alternately freezing language-specific encoders-decoders
C Escolano, MR Costa-jussą, JAR Fonollosa, M Artetxe
arXiv preprint arXiv:2006.01594, 2020
92020
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-Jussą, C Espańa-i-Bonet, P Madhyastha, ...
ACL 2016: the 54th Annual Meeting of the Association for Computational …, 2016
92016
The TALP-UPC neural machine translation system for German/Finnish-English using the inverse direction model in rescoring
C Escolano, MR Costa-jussą, JAR Fonollosa
Proceedings of the Second Conference on Machine Translation, 283-287, 2017
72017
End-to-end speech translation with pre-trained models and adapters: UPC at IWSLT 2021
GI Gįllego, I Tsiamas, C Escolano, JAR Fonollosa, MR Costa-jussą
arXiv preprint arXiv:2105.04512, 2021
52021
Multilingual, multi-scale and multi-layer visualization of intermediate representations
C Escolano, MR Costa-jussą, E Lacroux, PP Vįzquez
arXiv preprint arXiv:1907.00810, 2019
52019
Enriching the transformer with linguistic factors for low-resource machine translation
J Armengol-Estapé, MR Costa-jussą, C Escolano
arXiv preprint arXiv:2004.08053, 2020
42020
Enabling zero-shot multilingual spoken language translation with language-specific encoders and decoders
C Escolano, MR Costa-jussą, JAR Fonollosa, C Segura
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021
32021
Towards interlingua neural machine translation
C Escolano, MR Costa-jussą, JAR Fonollosa
arXiv preprint arXiv:1905.06831, 2019
32019
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
32019
Morphology generation for statistical machine translation using deep learning techniques
MR Costa-jussą, C Escolano
arXiv preprint arXiv:1610.02209, 2016
32016
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation
C Escolano, MR Costa-jussą, JAR Fonollosa
arXiv preprint arXiv:1810.06351, 2018
22018
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters
MR Costa-jussą, C Escolano, C Basta, J Ferrando, R Batlle, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 11855 …, 2022
12022
Multilingual machine translation: Deep analysis of language-specific encoder-decoders
C Escolano, MR Costa-jussą, JAR Fonollosa
Journal of Artificial Intelligence Research 73, 1535-1552, 2022
12022
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