Audiovisual translation, translators, and technology: From automation pipe dream to human-machine convergence

被引:0
|
作者
Granell, Ximo [1 ]
Chaume, Frederic [1 ]
机构
[1] Univ Jaume 1, Plana, Spain
关键词
digitalization; machine translation; MT; audiovisual translation; AVT; translation technology; INFORMATION LITERACY; COMPETENCES; CHALLENGES; PRODUCT; USER;
D O I
暂无
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
Audiovisual translation (AVT), broadly understood as a synonym for media content localization, and not only as a particular practice of linguistic transfer, is undergoing a revolution that was unthinkable only a few years ago - even in those territories where viewers are less accustomed to localized content. Digitalization and technological changes, which have had such an impact on the way audiovisual texts - whether original, localized, or adapted - are produced, distributed, edited, consumed, and shared have also had a substantial impact on the AVT profession. This article explores the ways in which technology has been evolving as an aid to translators: from being merely a clerical aid for transcribing digital texts to automating tasks and integrating machine translation into human translation processes. This it does by providing a range of tools to assist translators in their work processes, progressively migrating both tools and processes to cloud-based environments. The focus is then on AVT, and more particularly on dubbing, where digitalization has shaped the consumer market and posed several challenges to language technology developments and AVT professional practices. Academia has also paid attention to such developments and has increasingly dealt with a number of matters affecting both practice and training to cater to the needs of current media markets. A final word is devoted to proposing a literacy-based framework for the training of translators that embraces technology so as to incorporate automation as an additional aid and which redefines the audiovisual translator's workstation.
引用
收藏
页码:20 / 40
页数:21
相关论文
共 50 条
  • [41] Acknowledging the needs of computer-assisted translation tools users: the human perspective in human-machine translation
    Taravella, AnneMarie
    Villeneuve, Alain O.
    JOURNAL OF SPECIALISED TRANSLATION, 2013, (19): : 62 - 74
  • [42] Design and control a hybrid human-machine collaborative manufacturing system in operational management technology to enhance human-machine collaboration
    Wang, Tao
    Zhan, Weiming
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024,
  • [43] The Role of Audiovisual Feedback Delays and Bimodal Congruency for Visuomotor Performance in Human-Machine Interaction
    Dix, Annika
    Arlinghaus, Clarissa Sabrina
    Pannasch, Sebastian
    Harkin, A. Marie
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2023, 2023, : 555 - 563
  • [44] Modeling the intention to use machine translation for student translators: An extension of Technology Acceptance Model
    Yang, Yanxia
    Wang, Xiangling
    COMPUTERS & EDUCATION, 2019, 133 : 116 - 126
  • [45] A New Input Method for Human Translators: Integrating Machine Translation Effectively and Imperceptibly
    Huang, Guoping
    Zhang, Jiajun
    Zhou, Yu
    Zong, Chengqing
    PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015, : 1163 - 1169
  • [46] English-Turkish Literary Translation Through Human-Machine Interaction
    Sahin, Mehmet
    Gurses, Sabri
    TRADUMATICA-TRADUCCIO I TECNOLOGIES DE LA INFORMACIO I LA COMUNICACIO, 2021, (19): : 179 - 203
  • [47] Human factors in machine translation and post-editing among institutional translators
    Cadwell, Patrick
    Castilho, Sheila
    O'Brien, Sharon
    Mitchell, Linda
    TRANSLATION SPACES, 2016, 5 (02) : 222 - 243
  • [48] MODELING AND UTILIZATION OF SYNTHETIC DATA FOR IMPROVED AUTOMATION AND HUMAN-MACHINE INTERFACE CONTINUITY
    Miltner, Matt
    Duan, Pengfei
    de Haag, Maarten Uijt
    2014 IEEE/AIAA 33RD DIGITAL AVIONICS SYSTEMS CONFERENCE (DASC), 2014,
  • [49] Human-Machine Adaptive Shared Control for Safe Driving Under Automation Degradation
    Huang, Chao
    Lv, Chen
    Hang, Peng
    Hu, Zhongxu
    Xing, Yang
    IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2022, 14 (02) : 53 - 66
  • [50] Improving Human-Machine Interaction with a Digital Twin Adaptive Automation in Container Unloading
    Wilhelm, Jasper
    Beinke, Thies
    Freitag, Michael
    DYNAMICS IN LOGISTICS (LDIC 2020), 2020, : 527 - 540