Transcription tools

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Authors: Wing Yee Jenifer Ho
Cited by: 0
References: 27

Abstract

Abstract Applied linguistics researchers are increasingly working with a wider range of data, including audio-recording data, and video-recording data collected in online and internet-based contexts. Transcription of such multimodal data with digital affordances is an important part of the research process. Moreover, the emergence of transcription tools that make use of generative artificial intelligence technologies has made available a variety of web-based transcription tools and apps to choose from, such as Otter.ai and Happy Scribe. This chapter will introduce readers to different types of transcription and transcription tools, specifically in the context of multimodal transcription. In addition, several example studies which adopt such tools will be described, along with ethical considerations related to the use of transcription tools. Finally, directions for future research will be discussed.

Fields of Study & Subjects

Language and cultural evolution Music and Audio Processing Digital Storytelling and Education

Publication details

Journal / source
Research methods in applied linguistics
Pages
412–432
Publication date
5 January 2026
Language
EN
Document type
Book chapter