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1
DeepL et Google Translate face à l'ambiguïté phraséologique
In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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2
VEREINDEUTIGUNG ZUR KLASSIFIZIERUNG LEXIKALISCHER OBJEKTE ; DISAMBIGUATION FOR THE CLASSIFICATION OF LEXICAL ITEMS ; DÉSAMBÏGUISATION POUR LA CLASSIFICATION DE LEXÈMES
In: https://hal.archives-ouvertes.fr/hal-03598242 ; France, Patent n° : EP3937059A1. 2022 (2022)
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3
mGPT: Few-Shot Learners Go Multilingual ...
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4
Parkinson's disease diagnostics using AI and natural language knowledge transfer ...
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5
Scusate il ritardo. Retrasos y retornos del katechon
Sacchi, Martino. - : Universitat de Barcelona, 2022
In: TDX (Tesis Doctorals en Xarxa) (2022)
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6
A Neural Few-Shot Text Classification Reality Check
In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume ; 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal-ujm.archives-ouvertes.fr/ujm-03267869 ; 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kyiv (virtual), Ukraine (2021)
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7
3D Serious Game Modeling and Design: Contributions to Language Learning ; Modélisation et Conception de jeu sérieux tridimensionnel : Contributions à l’apprentissage des langues
Tazouti, Yassine. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03315793 ; Environnements Informatiques pour l'Apprentissage Humain. Université Ibn Tofail, Kénitra (Maroc), 2021. Français (2021)
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8
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines ...
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9
Efficient sign language recognition system and dataset creation method based on deep learning and image processing ...
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10
Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features ...
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11
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment ...
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12
Wortschatztraining zu Tibull I, 2, 1 bis 27 und II, 5, 89 bis 119 ...
Glockemann, Brunhild. - : Zenodo, 2021
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13
Wortschatztraining zu Tibull I, 2, 1 bis 27 und II, 5, 89 bis 119 ...
Glockemann, Brunhild. - : Zenodo, 2021
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14
Wortschatztraining zu Tibull I, 2, 1 bis 27 und II, 5, 89 bis 119 ...
Glockemann, Brunhild. - : Zenodo, 2021
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15
Semantic Description of Plant Phenological Development Stages, starting with Grapevine
In: ISSN: 1865-0929 ; Communications in Computer and Information Science ; Communications in Computer and Information Science (CCIS) ; 14th international conference on Metadata and Semantics Research Conference (MTSR) ; https://hal.archives-ouvertes.fr/hal-02996846 ; 14th international conference on Metadata and Semantics Research Conference (MTSR), Dec 2020, Madrid, Spain. pp.257-268, ⟨10.1007/978-3-030-71903-6_25⟩ ; http://www.mtsr-conf.org/home (2020)
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16
A French corpus annotated for multiword expressions and named entities
In: ISSN: 2299-856X ; EISSN: 2299-8470 ; Journal of Language Modelling ; https://hal.archives-ouvertes.fr/hal-03016721 ; Journal of Language Modelling, Institute of Computer Science, Polish Academy of Sciences, Poland, 2020, 8 (2), pp.415-479. ⟨10.15398/jlm.v8i2.265⟩ (2020)
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17
NTeALan Dictionaries Platforms: An Example Of Collaboration-Based Model
In: Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020) ; https://hal.archives-ouvertes.fr/hal-02701912 ; Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020), 2020, pp.11 - 16 (2020)
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18
Exploring deep learning techniques in the task of English-Arabic Machine Translation ; Exploration des techniques de l’apprentissage profond au service de la traduction automatique Anglais-Arabe
Hadj Ameur, Mohamed Seghir. - : HAL CCSD, 2020
In: https://tel.archives-ouvertes.fr/tel-03202829 ; Computation and Language [cs.CL]. Université des Sciences et de la Technologie Houari Boumediene (Algérie), 2020. English (2020)
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19
Proof-theoretic aspects of NLλ
In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-02973980 ; 2020 (2020)
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20
NLU-Co at SemEval-2020 Task 5: NLU/SVM based model apply to characterise and extract counterfactual items on raw data
In: COLING ; SemEval-2020 (International Workshop on Semantic Evaluation 2020) ; https://hal.archives-ouvertes.fr/hal-03119450 ; SemEval-2020 (International Workshop on Semantic Evaluation 2020), Dec 2020, Barcelone, Spain. pp.670-676 ; https://www.aclweb.org/anthology/2020.semeval-1.87 (2020)
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