Skip navigation

Transcribing (multilingual) voices: from fieldwork to publication

Transcribing (multilingual) voices: from fieldwork to publication

Kalocsányiová, Erika ORCID: 0000-0002-3535-1084 and Shatnawi, Malika (2022) Transcribing (multilingual) voices: from fieldwork to publication. In: Holmes, Prue, Reynolds, Judith and Ganassin, Sara, (eds.) The Politics of Researching Multilingually. Multilingual Matters. ISBN 9781800410145 (In Press)

[img] Microsoft Word (Author's submitted chapter)
Kalocsanyiova & Shatnawi.docx - Submitted Version
Restricted to Registered users only until 28 February 2022.

Download (143kB) | Request a copy


Several authors have argued in the past that transcribing is a political act: it involves judgements about how to represent voice in writing, what level of detail to choose, in which language(s) and for whom. This chapter provides an in-depth account of the processes and politics of multilingual transcribing. In reflexively analysing different transcript formats, it casts light on the complexities, challenges and opportunities that emerge in making collaborative decisions about the translation of speech to a written medium, as well as into other languages. The transcripts for the analysis have been pulled from a larger qualitative study on forced migrants’ linguistic integration. Special focus is thus given to transcripts that capture the sometimes unorthodox resources and mixed language practices of migrants, and to their reception in an interdisciplinary framework.

Item Type: Book Section
Uncontrolled Keywords: multilingualism, research methods, transcription
Subjects: G Geography. Anthropology. Recreation > GN Anthropology
P Language and Literature > P Philology. Linguistics
Faculty / Department / Research Group: Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Thinking and Learning
Related URLs:
Last Modified: 03 Sep 2021 11:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics