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Domestication and foreignization in interlingual subtitling: A systematic review of contemporary research
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In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 14, Iss 1, Pp 198-213 (2022) (2022)
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42 |
Encoding transfer of possession events
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5290 ; 2473-8689 (2022)
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Some remarks on the history of transfer in language studies
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5206 ; 2473-8689 (2022)
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FaceTuneGAN: Face Autoencoder for Convolutional Expression Transfer Using Neural Generative Adversarial Networks
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In: https://hal.inria.fr/hal-03462778 ; 2021 (2021)
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The Value and Use of the Telugu Language in Young Adults of Telugu-Speaking Backgrounds in New Zealand
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46 |
The French ditransitive transfer construction and the complementarity between the meta-predicates GIVE, TAKE, KEEP, LEAVE: The hypothesis of a grammatical enantiosemy
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In: The Polysemy of GIVE in ten Languages: from Lexicalization to Grammaticalization ; https://hal.archives-ouvertes.fr/hal-03154428 ; The Polysemy of GIVE in ten Languages: from Lexicalization to Grammaticalization, 2021 (2021)
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Phylogenetic Perspectives on the Relative Importance of Identity by Descent versus Borrowing in the Lexica of Altaic Languages
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In: https://hal.archives-ouvertes.fr/hal-03241668 ; 2021 (2021)
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48 |
Spectral Emissivity of Phonolite Lava at High Temperature
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In: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal-insu.archives-ouvertes.fr/insu-03433900 ; IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2021, Accepted Manuscript, pp.1-15. ⟨10.1109/TGRS.2021.3104657⟩ (2021)
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49 |
Cross-lingual Representation Learning for Natural Language Processing
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50 |
Science research writing: for native and non-native speakers of English
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51 |
Hate speech and offensive language detection using transfer learning approaches ; Détection du discours de haine et du langage offensant utilisant des approches de Transfer Learning
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In: https://tel.archives-ouvertes.fr/tel-03276023 ; Document and Text Processing. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAS007⟩ (2021)
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Fostering teacher language awareness in a primary English-language immersion school in France: supporting teachers on the road to engaging students’ bilingual competencies
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In: ISSN: 0965-8416 ; Language Awareness ; https://hal.univ-lorraine.fr/hal-03573322 ; In press (2021)
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53 |
Investigating data sharing in speech recognition for an underresourced language: the case of algerian dialect
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In: 7th International Conference on Natural Language Processing - NATP 2021 ; https://hal.archives-ouvertes.fr/hal-03137048 ; 7th International Conference on Natural Language Processing - NATP 2021, Mar 2021, Vienna, Austria (2021)
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ARTIFICIAL LANGUAGE TASKS AS A MEASURE TO ASSESS BILINGUALS' LEARNING SKILLS IN THIRD OR ADDITIONAL LANGUAGE ACQUISITION: THE CASE OF LLAMA_F
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In: MOOCs, Language learning and mobility, design, integration, reuse ; https://hal.archives-ouvertes.fr/hal-03216321 ; MOOCs, Language learning and mobility, design, integration, reuse, Apr 2021, Online Conference, Italy (2021)
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Germanistik - eine interkulturelle Wissenschaft?
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In: https://hal-amu.archives-ouvertes.fr/hal-03226338 ; Nicole Colin, Rolf Parr, Catherine Teissier, Joachim Umlauf. Synchron Wissenschaftsverlag der Autoren, 2021, 978-3-947960-07-1 ; https://www.synchron-publishers.com/texte/14-amsterdam/1413germanistik-t.html (2021)
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Near and far transfer: Is music special?
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In: Memory and Cognition ; https://hal.archives-ouvertes.fr/hal-03384381 ; Memory and Cognition, 2021, ⟨10.3758/s13421-021-01226-6⟩ (2021)
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“Working with …” in a primary English-language immersion school in France: opening doors to cross-linguistic transfer and engaging bilingual competencies
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In: 9ème Congrès EDILIC Approches plurielles, compétences plurilingues, appropriations langagières : l’apprenant.e au centre des réalités éducatives ; https://hal.univ-lorraine.fr/hal-03363267 ; 9ème Congrès EDILIC Approches plurielles, compétences plurilingues, appropriations langagières : l’apprenant.e au centre des réalités éducatives, EDILIC, Jul 2021, Thessalonique, Greece ; https://congresedilic2021.web.auth.gr/ (2021)
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End-to-end acoustic modelling for phone recognition of young readers
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-03373156 ; Speech Communication, Elsevier : North-Holland, 2021, 134, pp.71-84. ⟨10.1016/j.specom.2021.08.003⟩ ; https://www.sciencedirect.com/science/article/pii/S0167639321000959?via%3Dihub (2021)
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Abstract:
International audience ; Automatic recognition systems for child speech are lagging behind those dedicated to adult speech in the race of performance. This phenomenon is due to the high acoustic and linguistic variability present in child speech caused by their body development, as well as the lack of available child speech data. Young readers’ speech additionally displays peculiarities, such as slow reading rate and presence of reading mistakes, that hardens the task. This work attempts to tackle the main challenges in phone acoustic modelling for young child speech with limited data and improve understanding of strengths and weaknesses of a wide selection of model architectures in this domain. We find that transfer learning techniques are highly efficient on end-to-end architectures for adult-to-child adaptation with a small amount of child speech data. Through transfer learning, a Transformer model complemented with a Connectionist Temporal Classification (CTC) objective function, reaches a phone error rate of 28.1%, outperforming a state-of-the-art DNN–HMM model by 6.6% relative, as well as other end-to-end architectures by more than 8.5% relative. An analysis of the models’ performance on two specific reading tasks (isolated words and sentences) is provided, showing the influence of the utterance length on attention-based and CTC-based models. The Transformer+CTC model displays an ability to better detect reading mistakes made by children, which can be attributed to the CTC objective function effectively constraining the attention mechanisms to be monotonic.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing; child speech; connectionist temporal classification; low-resource; phone recognition; transfer learning; transformer
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URL: https://hal.archives-ouvertes.fr/hal-03373156 https://doi.org/10.1016/j.specom.2021.08.003
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Automated audio captioning by fine-tuning bart with audioset tags
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In: DCASE 2021 - 6th Workshop on Detection and Classification of Acoustic Scenes and Events ; https://hal.inria.fr/hal-03522488 ; DCASE 2021 - 6th Workshop on Detection and Classification of Acoustic Scenes and Events, Nov 2021, Virtual, Spain (2021)
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Правовая природа передачи коносамента третьему лицу ... : Legal Nature of Transferring a Bill of Lading to a Third Party ...
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