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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)
Abstract: International audience ; Boosted by the simultaneous translation shared task at IWSLT 2020, promising end-to-end online speech translation approaches were recently proposed. They consist in incrementally encoding a speech input (in a source language) and decoding the corresponding text (in a target language) with the best possible trade-off between latency and translation quality. This paper investigates two key aspects of end-to-end simultaneous speech translation: (a) how to encode efficiently the continuous speech flow, and (b) how to segment the speech flow in order to alternate optimally between reading (R: encoding input) and writing (W: decoding output) operations. We extend our previously proposed end-to-end online decoding strategy and show that while replacing BLSTM by ULSTM encoding degrades performance in offline mode, it actually improves both efficiency and performance in online mode. We also measure the impact of different methods to segment the speech signal (using fixed interval boundaries, oracle word boundaries or randomly set boundaries) and show that our best end-to-end online decoding strategy is surprisingly the one that alternates R/W operations on fixed size blocks on our English-German speech translation setup.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; efficient speech technologies; online sequenceto-sequence models; simultaneous speech translation; speech segmentation
URL: https://hal.archives-ouvertes.fr/hal-03372487/file/2104.14470.pdf
https://hal.archives-ouvertes.fr/hal-03372487/document
https://hal.archives-ouvertes.fr/hal-03372487
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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)
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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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