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2020 – today
- 2024
[c31]Audrey Mash, Carlos Escolano, Aleix Sant, Maite Melero, Francesca de Luca Fornaciari:
Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset. LREC/COLING 2024: 17144-17153- [c30]Javier García Gilabert, Carlos Escolano, Marta R. Costa-jussà:
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation. EAMT (1) 2024: 37-58 - [c29]Aleix Sant, Daniel Bardanca, José Ramom Pichel Campos, Francesca de Luca Fornaciari, Carlos Escolano, Javier García Gilabert, Pablo Gamallo, Audrey Mash, Xixian Liao, Maite Melero:
Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora. WMT 2024: 925-933 - [i18]Javier García Gilabert, Carlos Escolano, Aleix Sant Savall, Francesca de Luca Fornaciari, Audrey Mash, Xixian Liao, Maite Melero:
Investigating the translation capabilities of Large Language Models trained on parallel data only. CoRR abs/2406.09140 (2024) - [i17]Aleix Sant, Carlos Escolano, Audrey Mash, Francesca de Luca Fornaciari, Maite Melero:
The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs. CoRR abs/2407.18786 (2024) - 2023
- [c28]Neil Torrero, Gerard Sant, Carlos Escolano:
TALP-UPC at ProbSum 2023: Fine-tuning and Data Augmentation Strategies for NER. BioNLP@ACL 2023: 497-502 - [c27]Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Jean Maillard, Javier Ferrando, Carlos Escolano:
Toxicity in Multilingual Machine Translation at Scale. EMNLP (Findings) 2023: 9570-9586 - [c26]Gerard Sant, Carlos Escolano:
Analysis of Acoustic information in End-to-End Spoken Language Translation. INTERSPEECH 2023: 52-56 - [i16]Javier García Gilabert, Carlos Escolano, Marta R. Costa-jussà:
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation. CoRR abs/2305.11761 (2023) - [i15]Casimiro Pio Carrino, Carlos Escolano, José A. R. Fonollosa:
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation. CoRR abs/2309.17134 (2023) - 2022
- [b1]Carlos Escolano:
Learning multilingual and multimodal representations with language-specific encoders and decoders for machine translation. Polytechnic University of Catalonia, Spain, 2022 - [j5]Carlos Escolano, Marta Ruiz Costa-jussà, José A. R. Fonollosa:
Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders. J. Artif. Intell. Res. 73: 1535-1552 (2022) - [c25]Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
:
Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters. AAAI 2022: 11855-11863 - [c24]Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà:
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer. EMNLP 2022: 8756-8769 - [c23]Ioannis Tsiamas, Gerard I. Gállego, Carlos Escolano, José A. R. Fonollosa, Marta R. Costa-jussà:
Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022. IWSLT@ACL 2022: 265-276 - [i14]Oriol Domingo, Marta R. Costa-jussà, Carlos Escolano:
A multi-task semi-supervised framework for Text2Graph & Graph2Text. CoRR abs/2202.06041 (2022) - [i13]Javier Ferrando, Gerard I. Gállego, Belen Alastruey, Carlos Escolano, Marta R. Costa-jussà:
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer. CoRR abs/2205.11631 (2022) - [i12]Marta R. Costa-jussà, Eric Michael Smith, Christophe Ropers, Daniel Licht, Javier Ferrando, Carlos Escolano:
Toxicity in Multilingual Machine Translation at Scale. CoRR abs/2210.03070 (2022) - 2021
- [j4]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
From bilingual to multilingual neural-based machine translation by incremental training. J. Assoc. Inf. Sci. Technol. 72(2): 190-203 (2021) - [c22]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Carlos Segura:
Enabling Zero-Shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders. ASRU 2021: 694-701 - [c21]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. EACL 2021: 944-948 - [c20]Carlos Escolano, Graciela Ojeda, Christine Basta, Marta R. Costa-jussà:
Multi-Task Learning for Improving Gender Accuracy in Neural Machine Translation. ICON 2021: 12-17 - [c19]Gerard I. Gállego, Ioannis Tsiamas, Carlos Escolano, José A. R. Fonollosa, Marta R. Costa-jussà:
End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021. IWSLT 2021: 110-119 - [c18]Jordi Armengol-Estapé, Marta R. Costa-jussà, Carlos Escolano:
Enriching the Transformer with Linguistic Factors for Low-Resource Machine Translation. RANLP 2021: 73-78 - [c17]Carlos Escolano, Ioannis Tsiamas, Christine Basta, Javier Ferrando, Marta R. Costa-jussà, José A. R. Fonollosa:
The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach. WMT@EMNLP 2021: 117-122 - [i11]Gerard I. Gállego, Ioannis Tsiamas, Carlos Escolano, José A. R. Fonollosa, Marta R. Costa-jussà:
UPC's Speech Translation System for IWSLT 2021. CoRR abs/2105.04512 (2021) - 2020
- [c16]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
The TALP-UPC System Description for WMT20 News Translation Task: Multilingual Adaptation for Low Resource MT. WMT@EMNLP 2020: 134-138 - [i10]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders. CoRR abs/2004.06575 (2020) - [i9]Jordi Armengol-Estapé, Marta R. Costa-jussà, Carlos Escolano:
Enriching the Transformer with Linguistic and Semantic Factors for Low-Resource Machine Translation. CoRR abs/2004.08053 (2020) - [i8]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Mikel Artetxe:
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders. CoRR abs/2006.01594 (2020) - [i7]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa, Carlos Segura:
Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders. CoRR abs/2011.01097 (2020) - [i6]Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova:
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters. CoRR abs/2012.13176 (2020)
2010 – 2019
- 2019
- [j3]Marta R. Costa-jussà, Noe Casas, Carlos Escolano, José A. R. Fonollosa:
Chinese-Catalan: A Neural Machine Translation Approach Based on Pivoting and Attention Mechanisms. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(4): 43:1-43:8 (2019) - [c15]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
From Bilingual to Multilingual Neural Machine Translation by Incremental Training. ACL (2) 2019: 236-242 - [c14]Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez:
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations. EMNLP/IJCNLP (3) 2019: 151-156 - [c13]Noe Casas, José A. R. Fonollosa, Carlos Escolano, Christine Basta, Marta R. Costa-jussà:
The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT. WMT (2) 2019: 155-162 - [i5]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
Towards Interlingua Neural Machine Translation. CoRR abs/1905.06831 (2019) - [i4]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
From Bilingual to Multilingual Neural Machine Translation by Incremental Training. CoRR abs/1907.00735 (2019) - [i3]Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux, Pere-Pau Vázquez:
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations. CoRR abs/1907.00810 (2019) - 2018
- [c12]Laura Cross Vila, Carlos Escolano, José A. R. Fonollosa, Marta R. Costa-jussà:
End-to-End Speech Translation with the Transformer. IberSPEECH 2018: 60-63 - [c11]Noe Casas, Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
The TALP-UPC Machine Translation Systems for WMT18 News Shared Translation Task. WMT (shared task) 2018: 355-360 - [i2]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation. CoRR abs/1810.06351 (2018) - 2017
- [j2]Carlos Escolano, Marta R. Costa-jussà:
Generación morfológica con algoritmos de aprendizaje profundo integrada en un sistema de traducción automática estadística. Proces. del Leng. Natural 59: 107-114 (2017) - [c10]Marta R. Costa-jussà, Carlos Escolano, José A. R. Fonollosa:
Byte-based Neural Machine Translation. SWCN@EMNLP 2017: 154-158 - [c9]Gernot R. Müller-Putz, Patrick Ofner, Andreas Schwarz, Joana Pereira, Granit Luzhnica, Cecilia di Sciascio, Eduardo E. Veas, Sebastian Stein, John Williamson, Roderick Murray-Smith, Carlos Escolano, Luis Montesano, Bjoern Hessing, Matthias Schneiders, Rüdiger Rupp:
Moregrasp: restoration of upper limb function in Individuals with High spinal cord injury by Multimodal Neuroprostheses for Interaction in Daily Activities. GBCIC 2017 - [c8]Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa:
The TALP-UPC Neural Machine Translation System for German/Finnish-English Using the Inverse Direction Model in Rescoring. WMT 2017: 283-287 - 2016
- [c7]Marta R. Costa-jussà, Cristina España-Bonet, Pranava Swaroop Madhyastha, Carlos Escolano, José A. R. Fonollosa:
The TALP-UPC Spanish-English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System. WMT 2016: 463-468 - [i1]Marta R. Costa-jussà, Carlos Escolano:
Morphology Generation for Statistical Machine Translation using Deep Learning Techniques. CoRR abs/1610.02209 (2016) - 2013
- [c6]Carlos Escolano, M. Navarro-Gil, Javier García-Campayo, Javier Minguez:
EEG-based upper-alpha neurofeedback for cognitive enhancement in major depressive disorder: A preliminary, uncontrolled study. EMBC 2013: 6293-6296 - 2012
- [j1]Carlos Escolano, Javier Mauricio Antelis, Javier Minguez:
A Telepresence Mobile Robot Controlled With a Noninvasive Brain-Computer Interface. IEEE Trans. Syst. Man Cybern. Part B 42(3): 793-804 (2012) - [c5]Eduardo Lopez-Larraz, Carlos Escolano, Javier Minguez:
Upper alpha neurofeedback training over the motor cortex increases SMR desynchronization in motor tasks. EMBC 2012: 4635-4638 - [c4]Carlos Escolano, Bárbara Oliván, Yolanda López-del-Hoyo, Javier García-Campayo, Javier Minguez:
Double-blind single-session neurofeedback training in upper-alpha for cognitive enhancement of healthy subjects. EMBC 2012: 4643-4647 - 2011
- [c3]Carlos Escolano, Monica Aguilar, Javier Minguez:
EEG-based upper alpha neurofeedback training improves working memory performance. EMBC 2011: 2327-2330 - [c2]Eduardo Lopez-Larraz, Iñaki Iturrate, Carlos Escolano, Isabel Garcia, Luis Montesano, Javier Minguez:
Single-trial classification of feedback potentials within neurofeedback training with an EEG brain-computer interface. EMBC 2011: 4596-4599
2000 – 2009
- 2009
- [c1]Carlos Escolano, Javier Mauricio Antelis, Javier Minguez:
Human brain-teleoperated robot between remote places. ICRA 2009: 4430-4437
Coauthor Index
aka: Marta Ruiz Costa-jussà
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last updated on 2024-11-22 20:41 CET by the dblp team
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