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1
Source or target first? Comparison of two post-editing strategies with translation students
In: https://hal.archives-ouvertes.fr/hal-03546151 ; 2022 (2022)
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2
Automatic Normalisation of Early Modern French
In: https://hal.inria.fr/hal-03540226 ; 2022 (2022)
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3
Offline Corpus Augmentation for English-Amharic Machine Translation
In: 2022 The 5th International Conference on Information and Computer Technologies ; https://hal.archives-ouvertes.fr/hal-03547539 ; 2022 The 5th International Conference on Information and Computer Technologies, Mar 2022, New York, United States (2022)
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4
DeepL et Google Translate face à l'ambiguïté phraséologique
In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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5
Language politics in international organisations ; Políticas lingüísticas en las organizaciones internacionales ; Politiques des langues dans les organisations internationales
In: ISSN: 0243-6450 ; EISSN: 1960-6001 ; Mots: les langages du politique ; https://halshs.archives-ouvertes.fr/halshs-03639374 ; Mots: les langages du politique, ENS Éditions (Lyon), 2022, 2022 (128), pp.9-25. ⟨10.4000/mots.29160⟩ (2022)
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6
Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues
In: Techniques de l'Ingenieur ; https://hal.archives-ouvertes.fr/hal-03619077 ; Techniques de l'Ingenieur, Techniques de l'ingénieur, 2022, ⟨10.51257/a-v1-in195⟩ ; https://www.techniques-ingenieur.fr/base-documentaire/innovation-th10/innovations-en-electronique-et-tic-42257210/transformer-des-reseaux-de-neurones-pour-le-traitement-automatique-des-langues-in195/ (2022)
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7
On the use of machine translation and topic-modeling to analyze non-parallel multilingual corpora: A case study in the history of philosophy of science ...
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8
On the use of machine translation and topic-modeling to analyze non-parallel multilingual corpora: A case study in the history of philosophy of science ...
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9
Repository of psychological instruments in Serbian [Repozitorijum psiholoških instrumenata na srpskom jeziku] (REPOPSI) ...
Lazić, Aleksandra. - : Open Science Framework, 2022
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10
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
Crater, David T. - 2022
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11
Translation as a Communication Strategy in Representing National Culture
In: Social Inclusion ; 9 ; 1 ; 5-13 ; Social Inclusion and Multilingualism: The Impact of Linguistic Justice, Economy of Language and Language Policy (2022)
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12
Isotopy as a Tool for the Analysis of Comics in Translation: The Italian 'Rip-Off' of Gilbert Shelton's Freak Brothers
In: Punctum: International Journal of Semiotics ; 7 ; 2 ; 17-43 (2022)
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13
The Routledge handbook of translation and cognition
Jakobsen, Arnt Lykke (Herausgeber); Alves, Fábio (Herausgeber). - New York : Routledge, 2021
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14
Predicting and Critiquing Machine Virtuosity: Mawwal Accompaniment as Case Study
In: International Computer Music Conference ; https://hal.archives-ouvertes.fr/hal-03044066 ; International Computer Music Conference, Jul 2021, Santiago, Chile (2021)
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15
Investigating alignment interpretability for low-resource NMT
In: ISSN: 0922-6567 ; EISSN: 1573-0573 ; Machine Translation ; https://hal.archives-ouvertes.fr/hal-03139744 ; Machine Translation, Springer Verlag, 2021, ⟨10.1007/s10590-020-09254-w⟩ (2021)
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16
Impact of Encoding and Segmentation Strategies on End-to-End Simultaneous Speech Translation
In: INTERSPEECH 2021 ; https://hal.archives-ouvertes.fr/hal-03372487 ; INTERSPEECH 2021, Aug 2021, Brno, Czech Republic (2021)
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17
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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18
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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19
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
In: INTERSPEECH 2021: ; INTERSPEECH 2021: Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-03317730 ; INTERSPEECH 2021: Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
Abstract: International audience ; Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image and natural language processing. Recent works also investigated SSL from speech. They were notably successful to improve performance on downstream tasks such as automatic speech recognition (ASR). While these works suggest it is possible to reduce dependence on labeled data for building efficient speech systems, their evaluation was mostly made on ASR and using multiple and heterogeneous experimental settings (most of them for English). This questions the objective comparison of SSL approaches and the evaluation of their impact on building speech systems. In this paper, we propose LeBenchmark: a reproducible framework for assessing SSL from speech. It not only includes ASR (high and low resource) tasks but also spoken language understanding, speech translation and emotion recognition. We also focus on speech technologies in a language different than English: French. SSL models of different sizes are trained from carefully sourced and documented datasets. Experiments show that SSL is beneficial for most but not all tasks which confirms the need for exhaustive and reliable benchmarks to evaluate its real impact. LeBenchmark is shared with the scientific community for reproducible research in SSL from speech.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; ASR; Automatic Emotion Recognition; Self-Supervised Representation Learning; SLU; Speech Translation
URL: https://hal.archives-ouvertes.fr/hal-03317730v2/file/FLOWBERT_IS2021.pdf
https://hal.archives-ouvertes.fr/hal-03317730v2/document
https://hal.archives-ouvertes.fr/hal-03317730
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20
Parallel Corpora Preparation for English-Amharic Machine Translation
In: IWANN 2021 - International Work on Artificial Neural Networks, Conference Springer LNCS proceedings ; https://hal.inria.fr/hal-03272258 ; IWANN 2021 - International Work on Artificial Neural Networks, Conference Springer LNCS proceedings, Jun 2021, Online, Spain (2021)
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