Transcribear – Introducing a secure online transcription and annotation tool

Yu-Hua Chen, Radovan Bruncak

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Abstract

Reliable high-quality transcription and/or annotation (a.k.a. ‘coding’) is essential for research in a variety of areas in Humanities and Social Sciences which make use of qualitative data such as interviews, focus groups, classroom observations, or any other audio/video recordings. A good tool can facilitate the work of transcription and annotation because the process is notoriously time-consuming and challenging. However, our survey indicates that few existing tools can accommodate the requirements for transcription and annotation (e.g. audio/video playback, spelling checks, keyboard shortcuts, adding tags of annotation) in one place so that a user does not need to constantly switch between multiple windows, for example, an audio player and a text editor. ‘Transcribear’ (https://transcribear.com) is therefore developed as an easy-to-use online tool which facilitates transcription and annotation on the same interface while this web tool operates offline so that a user’s recordings and transcripts can remain secure and confidential. To minimize human errors, the functionality of tag validation is also added. Originally designed for a multimodal corpus project UNNC CAWSE (https://www.nottingham.edu.cn/en/english/research/cawse/), this browser-based application can be customized for individual users’ needs in terms of the annotation scheme and corresponding shortcut keys. This article will explain how this new tool can make tedious and repetitive manual work faster and easier and at the same time improve the quality of outputs as the process of transcription and annotation tends to be prone to human errors. The limitations of Transcribear and future work will also be discussed.
Original languageEnglish
Pages (from-to)265-275
Number of pages11
JournalDigital Scholarship in the Humanities
Volume35
Issue number2
Early online date25 Mar 2019
DOIs
Publication statusPublished - Jun 2020
Externally publishedYes

Bibliographical note

This is a pre-copyedited, author-produced version of an article accepted for publication in Digital Scholarship in the Humanities following peer review. The version of record Chen, Y-H & Bruncak, R 2020, 'Transcribear – Introducing a secure online transcription and annotation tool', Digital Scholarship in the Humanities, vol. 35, no. 2, pp. 265-275 is available online at:
https://dx.doi.org/10.1093/llc/fqz016

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

ASJC Scopus subject areas

  • Information Systems
  • Language and Linguistics
  • Linguistics and Language
  • Computer Science Applications

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