title: Discourse factor of semantic uncertainty in reverse machine translation of media texts
metadata.name: dc.contributor.author
metadata.value: Irkova, Anna V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-08-27T20:03:37Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-08-27T20:03:37Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2024-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Irkova A. V. (2024). Discourse factor of semantic uncertainty in reverse machine translation of media texts. Media Linguistics, 11 (2), 209–223. https://doi.org/10.21638/spbu22.2024.204 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2024.204
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/47367
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article is devoted to the study of semantic uncertainty in the texts of legal and media discourses
  using online programs. The object of the study is conflict factors caused by semantic
  uncertainty in problem areas. An assessment and description of problem areas in machine
  translation of media texts was carried out, taking into account lexical ambiguity. The prerequisites
  for possible conflict situations when translating texts on legal and environmental
  topics are described. In achieving this goal, both traditional linguistic and innovative methods
  of analysis (use of artificial intelligence technologies) were used. The characteristics of
  the philosophical category of uncertainty are given according to the following methodology:
  1) assessment of the semantic uncertainty of reverse machine translation texts, taking into
  account the discursive factor; 2) comparison of legislative and media texts for their similarity
  to the original after machine translation. The comparative analysis took into account the
  following parameters: the total number of words in the texts; similarity of texts in percentage
  terms; presence of various fragments. It is shown that discursive and linguistic means of realizing
  semantic uncertainty have a significant impact on the reader’s perception of the text.
  A comparison of two discourses of the same thematic focus on environmental management revealed the influence of the context (discourse) and the intermediary language on the degree
  of translatability of the text. It has been established that semantic uncertainty and tension
  zones as conflict-generating factors depend on the quality of translation programs. The study
  took into account possible errors associated with the limited capabilities of the online programs
  used. Prospects for studying problem areas in reverse machine translation include expanding
  sources of empirical material, involving other computer-assisted translation systems,
  and the possibility of applying research results in an expanded context of “potential conflict.”
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 11; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: media text
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: conflict of interpretations
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: discourse factor
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: semantic uncertainty
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: reverse machine translation
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Discourse factor of semantic uncertainty in reverse machine translation of media texts
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 04.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/47367/1/04.pdf
resources.format: Adobe PDF
resources.size: 2,13 MB