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1
Neural MT and Human Post-editing : a Method to Improve Editorial Quality
In: ISSN: 1134-8941 ; Interlingüística ; https://halshs.archives-ouvertes.fr/halshs-03603590 ; Interlingüística, Alacant [Spain] : Universitat Autònoma de Barcelona, 2022, pp.15-36 (2022)
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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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3
Neural machine translation and language teaching : possible implications for the CEFR ...
Delorme Benites, Alice; Lehr, Caroline. - : Vereinigung für Angewandte Linguistik in der Schweiz, 2022
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Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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Language of AI ...
Bylieva, Daria. - : Technology and Language, 3(1), 111-126, 2022
Abstract: In the modern world human-robot relations, language plays a significant role. One used to view language as a purely human technology, but today language is being mastered by non-humans. Chatbots, voice assistants, embodied conversational agents and robots have acquired the capacity for linguistic interaction and often present themselves as humanoid persons. Humans begin to perceive them ambivalently as they would acknowledge an Other inside the make-believe of a game. Using artificial neural nets instead of symbolic representation of human cognitive processes in AI technology leads to self-learning models. Thus AI uses language in a manner that is not predetermined by human ways of using it. How language is interpreted and employed by AI may influence, even alter social reality. – This is one of six commentaries on a 2011-paper by Mark Coeckelbergh: “You, robot: on the linguistic construction of artificial others.” Coeckelbergh‘s response also appears in this issue of Technology and Language. ... : Technology and Language, 3(1), 111-126 ...
Keyword: AI; FOS Languages and literature; Neural Machine Translation; Virtual personal assistant
URL: https://soctech.spbstu.ru/en/article/2022.6.11/
https://dx.doi.org/10.48417/technolang.2022.01.11
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6
Lexical Diversity in Statistical and Neural Machine Translation
In: Information; Volume 13; Issue 2; Pages: 93 (2022)
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7
A Survey of Automatic Source Code Summarization
In: Symmetry; Volume 14; Issue 3; Pages: 471 (2022)
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8
Neural Models for Measuring Confidence on Interactive Machine Translation Systems
In: Applied Sciences; Volume 12; Issue 3; Pages: 1100 (2022)
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9
Impact of Sentence Representation Matching in Neural Machine Translation
In: Applied Sciences; Volume 12; Issue 3; Pages: 1313 (2022)
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10
Retrieval-Based Transformer Pseudocode Generation
In: Mathematics; Volume 10; Issue 4; Pages: 604 (2022)
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11
Evaluating the Impact of Integrating Similar Translations into Neural Machine Translation
In: Information; Volume 13; Issue 1; Pages: 19 (2022)
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12
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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13
Gender Bias in Neural Translation: a preliminary study ; Biais de genre dans un système de traduction automatique neuronale : une étude préliminaire
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265895 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.11-25 ; https://talnrecital2021.inria.fr/ (2021)
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14
MultiTraiNMT: training materials to approach neural machine translation from scratch ; MultiTraiNMT: des outils pour se former à la traduction automatique neuronale
In: TRITON 2021 (Translation and Interpreting Technology Online) ; https://hal.archives-ouvertes.fr/hal-03272570 ; TRITON 2021 (Translation and Interpreting Technology Online), Jul 2021, Online, United Kingdom (2021)
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15
Can You Traducir This? Machine Translation for Code-Switched Input
In: Workshop on Computational Approaches to Linguistic Code Switching ; https://hal.archives-ouvertes.fr/hal-03218889 ; Workshop on Computational Approaches to Linguistic Code Switching, Association for Computational Linguistics, Jun 2021, Online, United States (2021)
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16
Improving Machine Translation of Arabic Dialects through Multi-Task Learning
In: 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021 ; https://hal.archives-ouvertes.fr/hal-03435996 ; 20th International Conference Italian Association for Artificial Intelligence:AIxIA 2021, Dec 2021, MILAN/Virtual, Italy (2021)
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17
LISN @ WMT 2021
In: Proceedings of the Sixth Conference on Machine Translation (WMT), ; 6th Conference on Statistical Machine Translation ; https://hal.archives-ouvertes.fr/hal-03430610 ; 6th Conference on Statistical Machine Translation, Association for Computational Linguistics, Nov 2021, Punta Cuna, Dominica ; http://statmt.org/wmt21/program.html (2021)
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18
Machine translation literacy and undergraduate students in applied languages: report on an exploratory study
In: Revista Tradumàtica: tecnologies de la traducció ; https://hal.archives-ouvertes.fr/hal-03506406 ; Revista Tradumàtica: tecnologies de la traducció, 2021, pp.204-225. ⟨10.5565/rev/tradumatica.281⟩ ; https://revistes.uab.cat/tradumatica (2021)
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19
Re-framing conceptual metaphor translation research in the age of neural machine translation : investigating translators’ added value with products and processes ...
Massey, Gary. - : Peoples' Friendship University of Russia, 2021
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20
Malayalam Visual Genome 1.0
Parida, Shantipriya; Bojar, Ondřej. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021
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