title: Machine voice-over translation in social media: Perceived quality of translation of YouTube travel vlogs
metadata.name: dc.contributor.author
metadata.value: Kalinin, Andrei Y.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-02-02T17:36:15Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-02-02T17:36:15Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Kalinin A. Yu. (2023). Machine voice-over translation in social media: Perceived quality of translation of YouTube travel vlogs. Media Linguistics, 10 (4), 568–597. https://doi.org/10.21638/spbu22.2023.408 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2023.408
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44806
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: One of the challenges of social media as a means of interaction is to ensure media accessibility,
  i. e. to provide users with a free and unhindered access to the content of computer-mediated
  communication platforms. In the context of global networking, linguistic constraints due to
  the use of a verbal code different from the language of the potential user while creating media
  content, are not the least of the obstacles to such access. Given the obvious dominance of English
  in the online space, this is mainly a matter of expanding the audience by engaging individuals
  whose source language proficiency is not sufficient for unimpeded use of social media, in
  particular for viewing, listening and understanding video content uploaded on video hosting
  sites and other digital platforms. Since user-generated video content is generally characterised
  by individual and independent production, free accessibility and target audiences sharing a
  common interest for a specific subject matter, regardless of their residence area and language
  affiliation, human audio-visual translation is not considerable in such circumstances. For this
  reason, as a way to overcome language barriers and ensure media accessibility, the most advanced
  Internet portals are beginning to implement Web-based online machine translation
  solutions, made possible by the development of linguistic digital technologies. The survey
  conducted as a part of this study has shed light on the users’ perception of machine voice-over
  translation of English-language travel vlogs into Russian, and formulated some hypotheses
  regarding the ways to further improve its quality. The empirical evidence for this study was
  obtained from a two-step survey involving users and experts (audiovisual translators) who
  assessed the quality of machine voice translation of English-language travel vlog into Russian.
  According to the results ontained machine translation seems to be conceptually acceptable as
  a means of enabling language media accessibility in social media.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Media Linguistics;Volume 10; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: media accessibility
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: machine voice-over translation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: translation quality assessment
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: video blogging
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: travel vlog
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Machine voice-over translation in social media: Perceived quality of translation of YouTube travel vlogs
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 568-597.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44806/1/568-597.pdf
resources.format: Adobe PDF
resources.size: 1,43 MB