The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Quality Assessment in Audio Description: Lessons Learned From Interpreting
Abstract
Audio description (AD) is one of the younger modes of translation. It shares many similarities with interpreting, although AD users have specific needs because they are blind or partially sighted. As quality is of concern in both fields, this chapter explores the overlaps to see what can be learned for AD from research already carried out in interpreting. Macro and micro criteria suggested for each discipline are compared, and describer competencies are discussed in the context of AdlabPRO, a European research project that seeks to define the professional profile of an audio describer and develop training materials and courses. The chapter concludes that assessment protocols and rating scales developed for interpreting might be adopted for AD, after appropriate adaptation to accommodate areas where the fit is incomplete. These include synchrony and the need for the AD to be considered, not in isolation, but in relation to the existing audio elements of the source text (ST).
Related Content
Sunil Kumar, Nishi Patel, Paturi Jagadeeswar Reddy.
© 2024.
18 pages.
|
Soumya Sankar Ghosh.
© 2024.
24 pages.
|
Hilda Abraham Mwangakala.
© 2024.
21 pages.
|
Alaattin Parlakkılıç.
© 2024.
22 pages.
|
Subir Sinha.
© 2024.
22 pages.
|
Minaxi Parmar.
© 2024.
19 pages.
|
Poonam Arora, Nidhi Arora.
© 2024.
17 pages.
|
|
|