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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
Non-sexist Language in Vacancy Titles: A Proposal for Drafting and Translation in International Organisations
In: Journal of International Women's Studies (2022)
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5
DeepL et Google Translate face à l'ambiguïté phraséologique
In: https://hal.archives-ouvertes.fr/hal-03583995 ; 2022 (2022)
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6
The Future of Translation in Higher Education: Introduction to the Special Issue
In: L2 Journal, vol 14, iss 2 (2022)
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7
From Disrupted Classrooms to Human-Machine Collaboration? The Pocket Calculator, Google Translate, and the Future of Language Education
In: L2 Journal, vol 14, iss 1 (2022)
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8
Thirty Years of Machine Translation in Language Teaching and Learning: A Review of the Literature
In: L2 Journal, vol 14, iss 1 (2022)
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9
A “Hands-On” Approach to Raise Awareness of Technologies: A Pilot Class and its Lessons
In: L2 Journal, vol 14, iss 1 (2022)
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10
Do You Speak Translate?: Reflections on the Nature and Role of Translation
In: L2 Journal, vol 14, iss 1 (2022)
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11
Current Practices in Translation and L2 Learning in Higher Education: Lessons Learned
In: L2 Journal, vol 14, iss 2 (2022)
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12
Exploring Foreign Language Students’ Perceptions of the Guided Use of Machine Translation (GUMT) Model for Korean Writing
In: L2 Journal, vol 14, iss 1 (2022)
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13
What’s Wrong with “What is your name?” > “Quel est votre nom?”:Teaching Responsible Use of MT through Discursive Competence and Metalanguage Awareness
In: L2 Journal, vol 14, iss 1 (2022)
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14
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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15
From Tamajaght to French. To translate is to betray, but how far? ; De la tamajaght au français. Traduire, c’est trahir, mais jusqu’où ?
In: IFS. Tasɣunt n wannas d tɣerma tamaziɣt / Revue de culture et de civilisation amazighe ; https://halshs.archives-ouvertes.fr/halshs-03650005 ; IFS. Tasɣunt n wannas d tɣerma tamaziɣt / Revue de culture et de civilisation amazighe, Criniere du lion, A paraître, pp.7-28 (2022)
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16
The use of online translators by students not enrolled in a professional translation program: beyond copying and pasting for a professional use
In: EAMT2022 (European Association for Machine Translation) ; https://hal.archives-ouvertes.fr/hal-03656029 ; EAMT2022 (European Association for Machine Translation), Jun 2022, Ghent, Belgium ; https://eamt2022.com/ (2022)
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17
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)
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
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18
The use of MT by undergraduate translation students for different learning tasks
In: https://hal.archives-ouvertes.fr/hal-03547415 ; 2022 (2022)
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19
ВАЖНЕЙШИЕ АСПЕКТЫ ПЕРЕВОДА В КНИГЕ «ЯЗЫК И ПЕРЕВОД» Л.С. БАРХУДАРОВА ... : THE MOST IMPORTANT ASPECTS OF TRANSLATION IN THE BOOK “LANGUAGE AND TRANSLATION” L.S. BARKHUDAROV ...
Лу Чи. - : Мир науки, культуры, образования, 2022
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20
АКТУАЛЬНЫЕ ТЕНДЕНЦИИ ЦИФРОВИЗАЦИИ ИНОЯЗЫЧНОГО ОБУЧЕНИЯ В НЕЯЗЫКОВОМ ВУЗЕ ... : CURRENT TRENDS IN DIGITALIZATION OF FOREIGN LANGUAGE EDUCATION IN A NON-LINGUISTIC UNIVERSITY ...
Е.Б. Манахова. - : Мир науки, культуры, образования, 2022
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Catalogues
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Bibliographies
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Linked Open Data catalogues
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Online resources
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