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Hits 1 – 11 of 11
1
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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2
Lightweight Adapter Tuning for Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Wang, Changhan
. - : arXiv, 2021
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3
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
;
Gu, Jiatao
;
Le, Hang
;
Pino, Juan
;
Schwab, Didier
;
Wang, Changhan
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-short.103 Abstract: Adapter modules were recently introduced as an efficient alternative to fine-tuning in NLP. Adapter tuning consists in freezing pre-trained 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 ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
;
Electromagnetism
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Neural Network
;
Semantics
URL:
https://underline.io/lecture/25834-lightweight-adapter-tuning-for-multilingual-speech-translation
https://dx.doi.org/10.48448/tbd2-2t67
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4
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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5
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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6
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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7
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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8
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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9
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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10
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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11
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
The 28th International Conference on Computational Linguistics 2020
;
Besacier, Laurent
;
Gu, Jiatao
. - : Underline Science Inc., 2020
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