‘Transcribear – Introducing An Online Automated Transcription & Annotation Tool’ – Dr Yu-Hua Chen
Wednesday 12 Feb, 4-6pm, George Eliot Building 403
Reliable transcription and annotation (also known as “coding”) is essential for research in many areas of Humanities and Social Sciences, where data is often collected through interviews, focus groups, meeting or classroom observations, or many other types of recordings. Such recordings would then need to be transcribed into text to make the data readable and searchable, and yet transcription is notoriously time-consuming and challenging. A good tool is therefore important in facilitating this type of speech to text conversion.
“Transcribear” was developed to cater for the needs of an easy-to-use tool which integrates automated/manual transcription, audio/video playback, spelling checks, and various shortcut keys into one online interface. To minimize human errors, the functionality of annotation validation in the format of tags <> is also added. A technical paper which documented earlier development of this online tool has been published in the Journal of Digital Scholarship in the Humanities (DSH). Originally designed for a multimodal corpus project (CAWSE), this browser-based application can be customized for individual users’ needs in terms of the annotation scheme and corresponding shortcut keys.
In this talk, the co-founder of Transcribear, Yu-Hua will 1) introduce the development of speech to text technology and its applications in audio transcription; 2) demonstrate how audio transcription tools can make our research work easier while also improve the quality of outputs; 3) discuss various issues from her experience of transcribing and annotating large amounts of written and spoken data.
The participants are encouraged to bring a laptop to the talk and register for a user’s account on https://transcribear.com prior to the talk.
Dr Yu-Hua Chen Bio
Before joining Coventry University, I worked as Assistant Professor in Applied Linguistics/ELT at The University of Nottingham Ningbo China (UNNC). I got extensive experience in language test development for various levels and purposes, including working for the Language Testing Division of Pearson plc (London) and Language Training and Testing Center (Taipei).
My PhD thesis ‘Investigating Lexical Bundles across Learner Writing Development’ was selected as a finalist for the 2013 Jacqueline A. Ross TOEFL Dissertation Award. The publication based on my thesis, ‘Lexical Bundles in L1 and L2 Academic Writing’ (2010) with citations reaching over 400 in 2019 and still growing rapidly, is ranked #185 by Web of Science in the category of Education & Educational Research worldwide.