Recordings Vol.4
Symposium – Papering Over the Audiovisual Archives
Call for Papers
Recordings Vol.4

Last May, the FIAT/IFTA Media Management Commission (MMC) and BBC hosted the Media Management Seminar 2025 in Cardiff, Wales.
The 12th edition of FIAT/IFTA’s Changing Sceneries, Changing Roles seminars had “AI and Human Collaboration: Partners in Archiving?” as its theme.
Over the following weeks, the recordings from the Media Management Seminar will be published on the FIAT/IFTA website and YouTube page. Three video presentations will be shared weekly each Friday, with the final recording being shared on Friday, August 29th, 2025.
This week’s sessions are:
You can access all current and future recordings on the Media Management Seminar 2025 page.
Developing Language Technologies for the Welsh language
by Gruffudd Prys
Bangor University
Tasked by the Welsh Government to develop a foundation of Language Technology resources for the Welsh language, the Language Technologies Unit at Bangor University has developed a range of technologies aimed at facilitating the use of Welsh in digital environments. These include bilingual speech recognition models, a number of different synthetic voices and domain-specific machine translation engines as well as finetuning commercial and open source AI models. This presentation will provide an overview of the available technologies, and demonstrate their use within: Macsen, an Alexa-like app for Welsh; Trawsgrifiwr, a subtitling website; and Trosleisio, a service for adding synthesized Welsh-language voiceovers to videos. Finally, some of the challenges facing improving such models and making them available under open-source licenses will be discussed.
Gruffudd Prys is the Head of the Language Technologies Unit at Bangor University, a multidisciplinary team of 8 linguists and 5 software developers specializing in the creation of Welsh language resources for the digital age. Having worked as a terminologist developing technical terms for Welsh-medium education, Gruff ventured into the field of Natural Language Processing (NLP), developing part-of-speech taggers and named entity recognition models for Welsh. Currently he leads a Welsh Government funded project sourcing Welsh-language data in the form of speech and text to enable the creation of open source language models, open datasets and associated resources to create a strong foundation of language technologies for Welsh.
Reviving Ireland’s Linguistic Legacy: A Groundbreaking Digital Preservation of Irish Dialects
by Anja Mahler & Brian Ó Raghallaigh
RTÉ, Dublin City University
This presentation, co-presented by RTÉ and Dublin City University, explores a pioneering effort to digitally preserve and analyse Ireland’s rich linguistic heritage. With over a century’s worth of broadcast recordings, the project leverages advanced digitization and linguistic research, unlocking a vast dataset for scholars, educators, and the wider public. Attendees will gain insights into the methodologies, discoveries, and future applications of this vital resource, now publicly accessible via the dialect repository Canúint.ie.
Anja Mahler is the Senior Archivist for Sound at Radió Teilifis Éireann (RTÉ), Ireland’s national public service broadcaster. She oversees the digitization of RTÉ’s audio archive, which includes quarter-inch tapes and optical disc media, to ensure the preservation of Ireland’s audio heritage for future generations. With over a decade of experience in audio-visual and digital preservation, Anja has held roles at the IFI Irish Film Archive and the Digital Repository of Ireland. She brings expertise in archival workflows, media archaeology, metadata standards, and sustainable preservation strategies that are internationally recognized.
Dr Brian Ó Raghallaigh is an Assistant Professor at Dublin City University (DCU), where he is a member of the Gaois research group. He is Principal Investigator (PI) on the Placenames Database of Ireland project and Co-Investigator (Co-I) on the Canúint project. He has a BA (Mod.) in computer science, linguistics and Irish, and a PhD in speech technology, both from Trinity College Dublin. His current research is focused on the creation of digital Irish-language resources for general and specialist users, language technology and other applications. He is a Board Member of the Digital Repository of Ireland (DRI).
Could AI Save Gaelic? Language Technology, Big Tech and the Future of Minority Languages
by William Lamb
University of Edinburgh
The future of Gaelic, like many minority languages, is uncertain. Could language technology help secure its survival? While AI systems like ChatGPT now permit real-time English interactions, achieving this for Gaelic is challenging. This lecture examines key technological advances needed to bridge this gap and their impact on language revitalisation. Research at the University of Edinburgh explores two promising solutions to data scarcity in low-resource languages: speech recognition and synthetic data augmentation using Large Language Models. A key approach involves leveraging archival data to develop language technology and then using technology to annotate and enhance archival materials, creating a virtuous circle of resource expansion. However, technological progress also raises concerns, particularly in collaborations between major tech companies and minority language communities, where issues of data ownership and cultural preservation must be carefully managed.
Prof William Lamb (University of Edinburgh) holds a Personal Chair in Gaelic Ethnology and Linguistics. Since joining the University in 2010, Professor Lamb has made significant contributions to Gaelic dialectology, oral tradition and language technology. He is the author of Scottish Gaelic: A Comprehensive Grammar (Routledge, 2024) and has published extensively in peer-reviewed venues on Digital Humanities topics. Lamb recently completed an MSc in Speech and Language Processing (UoE) with distinction and, over the past 5 years, has secured substantial grants from the Arts and Humanities Research Council (AHRC) and other funders focusing on Digital Humanities and Artificial Intelligence. Outwith his academic role, Professor Lamb serves on the Board of Management for Faclair na Gàidhlig and several other executive committees dedicated to Gaelic language and culture. He is also a Fellow of the Generative Artificial Intelligence Laboratory (GAIL) and an Affiliate of the Edinburgh Futures Institute (EFI).