Studi e ricerche

Series | Studi e ricerche
Volume 35 | Edited book | Human Translation and Natural Language Processing

Human Translation and Natural Language Processing

Towards a New Consensus?

open access | peer reviewed
    edited by
  • Nicolas Froeliger - Université Paris Cité - email
  • Claire Larsonneur - Universitè Paris VIII de Vicennes à Saint-Denis, France
  • Giuseppe Sofo - Università Ca’ Foscari Venezia, Italia - email

Abstract
The last decade has seen major technological changes related to artificial intelligence, particularly in the fields of machine translation and natural language processing. Convinced that translation and language technologies play an essential role in society, in this volume we propose to seek a new consensus between the human uses of language and the contributions of the machine; our aim is not only to enable exchanges and contribute to the development and dissemination of knowledge, but also to exercise our social sense of responsibility. Furthering digital literacy in the field of language technologies and promoting a better understanding of the social, economic and ethical stakes are indeed imperative.

Keywords ToolsDigital toolsMT literacyMaster’s Programme in TranslationTranslation competence frameworkCognitionNMT specialisationTranslationTranslation technologyInformation technologyArtificial IntelligenceThe Free Energy Principle and Active InferenceAutomatic metricsOnline corporaOnline dictionariesDigital HumanitiesNMT toolkitsMachine translation (mt)Project managementTranslation workflowService translationMachine translationNeural machine translationEmbodiment and enactivism in translationNMT literacyLanguage learning and teachingDigitalComputer-assisted translation (cat)Interdisciplinary approachIntegrated translation projectDirectorate-general for translationMachine TranslationHuman translationPost-editingBody functionalismBody enactivismTranslator trainingNatural language processingTranslation competencePost-editing (pe)Boundaries of the translating mindComputer-assisted and machine translation technoloInstitutional translation

Permalink http://doi.org/10.30687/978-88-6969-762-3 | e-ISBN 978-88-6969-762-3 | ISBN (PRINT) 978-88-6969-763-0 | Published Dec. 7, 2023 | Language en, FR, it, fr

Se trovi interessanti le nostre pubblicazioni e vuoi ricevere aggiornamenti sulle prossime uscite, iscriviti ora alla nostra newsletter.

x

Newsletter