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Hits 1 – 20 of 23
1
Findings of the IWSLT 2020 Evaluation campaign
Niehues, Jan
;
Federico, Marcello
;
Ma, Xutai
. - : Association for Computational Linguistics, 2022
BASE
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2
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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3
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
BASE
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4
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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5
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
BASE
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6
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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7
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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8
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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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 ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
. - : Zenodo, 2020
BASE
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12
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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13
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation ...
Le, Hang
;
Pino, Juan
;
Changhan Wang
;
Jiatao Gu
;
Schwab, Didier
;
Besacier, Laurent
. - : Zenodo, 2020
Abstract:
We introduce dual-decoder Transformer, a new model architecture that jointly performs auto- matic speech recognition (ASR) and multilingual speech translation (ST). Our models are based on the original Transformer architecture (Vaswani et al., 2017) but consist of two decoders, each responsible for one task (ASR or ST). Our major contribution lies in how these decoders interact with each other: one decoder can attend to different information sources from the other via a dual-attention mechanism. We propose two variants of these architectures corresponding to two different levels of dependencies between the decoders, called the parallel and cross dual decoder Transformers, respectively. Extensive experiments on the MuST-C dataset show that our models outperform the previously reported highest translation performance in the multilingual settings, and outperform as well bilingual one-to-one results. Furthermore, our parallel models demon- strate no trade-off between ASR and ST compared to the vanilla multi-task ...
Keyword:
Dual-decoder Transformer, multilingual speech translation
URL:
https://zenodo.org/record/4559841
https://dx.doi.org/10.5281/zenodo.4559841
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14
Findings of the IWSLT 2020 Evaluation campaign ...
Ansari, Ebrahim
;
Axelrod, Amittai
;
Bach, Nguyen
. - : Association for Computational Linguistics, 2020
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15
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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16
Frectext: una aplicación de ayuda a la elaboración de documentos
Rodríguez-del-Pino, Juan Carlos
;
Santana Suárez, Octavio
;
González Domínguez, Juan Daniel
In: Procesamiento del lenguaje natural. n. 13, p. 451-462 (2018)
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17
Frectext: una aplicación de ayuda a la elaboración de documentos
Rodríguez-del-Pino, Juan Carlos
;
Santana Suárez, Octavio
;
González Domínguez, Juan Daniel
In: Procesamiento del lenguaje natural. n. 13, p. 451-462 (2018)
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18
Simple and efficient model filtering in statistical machine translation
Pino, Juan
;
Byrne, William
;
Waite, Aurelien
In:
The Prague bulletin of mathematical linguistics. - Praha : Univ.
(2012) 98, 5-24
BLLDB
OLC Linguistik
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19
Proposal to adapt computer programs assessment processes and computational linguistics tools to support evaluation of documents written in natural language as a result of learning tasks
Hernandez-Figueroa, Z.
;
Rodríguez del Pino, Juan Carlos
;
Afonso-Suarez, M. D.
In: Inted2012: International Technology, Education And Development Conference [ISSN 2340-1079], p. 3344-3349 (2012)
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20
Software application for parasynthesis in spanish automatic processing
Carreras, Francisco J.
;
Pérez Aguiar, José Rafael
;
Santana, Octavio
...
In: Proceedings of the 2005 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA'05, p. 46-52 (2005)
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