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Hits 1 – 20 of 34
1
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan
;
Federico, Marcello
;
Ma, Xutai
. - : Association for Computational Linguistics, 2022
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2
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
Wang, Changhan
;
Rivière, Morgane
;
Lee, Ann
. - : HAL CCSD, 2021
In: https://hal.inria.fr/hal-03329290 ; 2021, ⟨10.18653/v1/2021.acl-long.80⟩ (2021)
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3
Lightweight Adapter Tuning for Multilingual Speech Translation
Le, Hang
;
Pino, Juan
;
Wang, Changhan
...
In: The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03294912 ; The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Aug 2021, Bangkok (Virtual), Thailand (2021)
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4
FST: the FAIR Speech Translation System for the IWSLT21 Multilingual Shared Task ...
Tang, Yun
;
Gong, Hongyu
;
Li, Xian
. - : arXiv, 2021
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5
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation ...
Wang, Changhan
;
Rivière, Morgane
;
Lee, Ann
. - : arXiv, 2021
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6
Lightweight Adapter Tuning for Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Wang, Changhan
;
Gu, Jiatao
;
Schwab, Didier
;
Besacier, Laurent
. - : arXiv, 2021
Abstract:
Adapter modules were recently introduced as an efficient alternative to fine-tuning in NLP. Adapter tuning consists in freezing pretrained parameters of a model and injecting lightweight modules between layers, resulting in the addition of only a small number of task-specific trainable parameters. While adapter tuning was investigated for multilingual neural machine translation, this paper proposes a comprehensive analysis of adapters for multilingual speech translation (ST). Starting from different pre-trained models (a multilingual ST trained on parallel data or a multilingual BART (mBART) trained on non-parallel multilingual data), we show that adapters can be used to: (a) efficiently specialize ST to specific language pairs with a low extra cost in terms of parameters, and (b) transfer from an automatic speech recognition (ASR) task and an mBART pre-trained model to a multilingual ST task. Experiments show that adapter tuning offer competitive results to full fine-tuning, while being much more ... : Accepted at ACL-IJCNLP 2021 ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
URL:
https://arxiv.org/abs/2106.01463
https://dx.doi.org/10.48550/arxiv.2106.01463
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7
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling ...
Gong, Hongyu
;
Tang, Yun
;
Pino, Juan
. - : arXiv, 2021
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8
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Genzel, Dmitriy
;
Li, Xian
. - : Underline Science Inc., 2021
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9
Lightweight Adapter Tuning for Multilingual Speech Translation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Besacier, Laurent
;
Besacier, laurent.besacier@univ-grenoble-alpes.fr
. - : Underline Science Inc., 2021
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10
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Auli, Michael
;
Baevski, Alexei
. - : Underline Science Inc., 2021
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11
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Dupoux, Emmanuel
;
Haziza, dhaziza@fb.com
. - : Underline Science Inc., 2021
BASE
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12
Textless Speech-to-Speech Translation on Real Data ...
Lee, Ann
;
Gong, Hongyu
;
Duquenne, Paul-Ambroise
. - : arXiv, 2021
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13
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation
Le, Hang
;
Pino, Juan
;
Wang, Changhan
...
In: COLING 2020 (long paper) ; https://hal.archives-ouvertes.fr/hal-02991564 ; COLING 2020 (long paper), Dec 2020, Virtual, Spain (2020)
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14
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Wang, Changhan
. - : arXiv, 2020
BASE
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15
CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus ...
Wang, Changhan
;
Pino, Juan
;
Wu, Anne
. - : arXiv, 2020
BASE
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16
CoVoST 2 and Massively Multilingual Speech-to-Text Translation ...
Wang, Changhan
;
Wu, Anne
;
Pino, Juan
. - : arXiv, 2020
BASE
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17
Multilingual Speech Translation with Efficient Finetuning of Pretrained Models ...
Li, Xian
;
Wang, Changhan
;
Tang, Yun
. - : arXiv, 2020
BASE
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18
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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19
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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20
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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