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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...205 Hits 1 – 20 of 4.089 1 From FreEM to D'AlemBERT ; From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French Gabay, Simon; Ortiz Suarez, Pedro; Bartz, Alexandre... In: Proceedings of the 13th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-03596653 ; Proceedings of the 13th Language Resources and Evaluation Conference, European Language Resources Association, Jun 2022, Marseille, France (2022) BASE Show details 2 Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding Sankar, Sanjana; Beautemps, Denis; Hueber, Thomas In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022) BASE Show details 3 Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding Sankar, Sanjana; Beautemps, Denis; Hueber, Thomas In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-03578503 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapour, Singapore (2022) BASE Show details 4 Genetic Neural Architecture Search for automatic assessment of human sperm images Miahi, Erfan; Mirroshandel, Seyedabolghasem; Nasr, Alexis In: ISSN: 0957-4174 ; Expert Systems with Applications ; https://hal.archives-ouvertes.fr/hal-03585035 ; Expert Systems with Applications, Elsevier, 2022 (2022) BASE Show details 5 Automatic Speech Recognition and Query By Example for Creole Languages Documentation MACAIRE, Cécile; Schwab, Didier; Lecouteux, Benjamin... In: Findings of the Association for Computational Linguistics: ACL 2022 ; https://hal.archives-ouvertes.fr/hal-03625303 ; Findings of the Association for Computational Linguistics: ACL 2022, May 2022, Dublin, Ireland (2022) BASE Show details 6 Neural MT and Human Post-editing : a Method to Improve Editorial Quality Barbin, Franck In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022) BASE Show details 7 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 8 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 9 Le modèle Transformer: un « couteau suisse » pour le traitement automatique des langues Yvon, François 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) Abstract: This paper presents an overview of the state of the art in natural language processing, exploring one specific computational architecture, the Transformer model, which plays a central role in a wide range of applications. This architecture condenses many advances in neural learning methods and can be exploited in many ways : to learn representations for linguistic entities ; to generate coherent utterances and answer questions; to perform utterance transformations, an illustration being their automatic translation. These different facets of the architecture will be successively presented, which will also allow us to discuss its limitations. ; Cet article présente un survol de l’état de l’art en traitement automatique des langues, en explorant une architecture computationnelle, le modèle Transformer, qui joue un rôle central dans une large gamme d’applications. Cette architecture condense de nombreuses avancées des méthodes d’apprentissage neuronales et peut être exploitée de multiples manières : pour apprendre à représenter les entités linguistiques ; pour générer des énoncés cohérents et répondre à des questions ; pour réaliser des transformations des énoncés, une illustration étant leur traduction automatique. Ces différentes facettes de l’architecture seront successivement présentées, ce qui permettra également d’évoquer ses limitations. Keyword: [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Apprentissage Automatique; Language Models; Machine Learning; Modèles de Langues; Natural Language Processing; Neural Machine Translation; Traduction automatique neuronale; Traitement Automatique des Langues URL: https://doi.org/10.51257/a-v1-in195 https://hal.archives-ouvertes.fr/hal-03619077/file/Transformers.pdf https://hal.archives-ouvertes.fr/hal-03619077/document https://hal.archives-ouvertes.fr/hal-03619077 BASE Hide details 10 The use of MT by undergraduate translation students for different learning tasks Bindels, Joop; Pluymaekers, Mark In: https://hal.archives-ouvertes.fr/hal-03547415 ; 2022 (2022) BASE Show details 11 Machine Translation and Gender biases in video game localisation: a corpus-based analysis Rivas Ginel, María,; Theroine, Sarah In: https://hal.archives-ouvertes.fr/hal-03540605 ; 2022 (2022) BASE Show details 12 Neural machine translation and language teaching : possible implications for the CEFR ... Delorme Benites, Alice; Lehr, Caroline. - : Vereinigung für Angewandte Linguistik in der Schweiz, 2022 BASE Show details 13 Structure and Learning (Dagstuhl Seminar 21362) Dong, Tiansi; Rettinger, Achim; Tang, Jie. - : Dagstuhl Reports. DagRep, Volume 11, Issue 8, 2022 BASE Show details 14 Estimating Vocal Tract Resonances of Synthesized High-Pitched Vowels Using CNN ... Mikusova, Ivana. - : TU Wien, 2022 BASE Show details 15 MCSQ Translation Models (en-ru) (v1.0) Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 16 MCSQ Translation Models (en-de) (v1.0) Variš, Dušan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 17 Chess AI: Competing Paradigms for Machine Intelligence Shiva Maharaj; Nick Polson; Alex Turk In: Entropy; Volume 24; Issue 4; Pages: 550 (2022) BASE Show details 18 Singing voice separation using waveform-level deep neural networks ... : Διαχωρισμός Φωνητικών χρησιμοποιώντας Βαθιά Νευρωνικά Δίκτυα σε Επίπεδο Κυματομορφών ... Papantonakis, Panagiotis. - : National Technological University of Athens, 2022 BASE Show details 19 Καταστολή ηχητικού θορύβου μέσω τεχνικών μηχανικής μάθησης ... Φιλιππίδης, Σπυρίδων Σταύρου. - : Aristotle University of Thessaloniki, 2022 BASE Show details 20 Can distributional semantics explain performance on the false belief task? ... Trott, Sean. - : Open Science Framework, 2022 BASE Show details Page: 1 2 3 4 5...205

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