Abstract
Like most other minority languages, Scottish Gaelic has limited tools and resources available for Natural Language Processing research and applications. These limitations restrict the potential of the language to participate in modern speech technology, while also restricting research in fields such as corpus linguistics and the Digital Humanities. At the same time, Gaelic has a long written history, is well-described linguistically, and is unusually well-supported in terms of potential NLP training data. For instance, archives such as the School of Scottish Studies hold thousands of digitised recordings of vernacular speech, many of which have been transcribed as paper-based, handwritten manuscripts. In this paper, we describe a project to digitise and recognise a corpus of handwritten narrative transcriptions, with the intention of re-purposing it to develop a Gaelic speech recognition system.
Original language | English |
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Publication status | Accepted/In press - 6 May 2022 |
Event | The 4th Celtic Language Technology Workshop at LREC 2022 - Marseille, France Duration: 20 Jun 2022 → 20 Jun 2022 http://techiaith.bangor.ac.uk/celticlt/cltw/?lang=en |
Workshop
Workshop | The 4th Celtic Language Technology Workshop at LREC 2022 |
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Abbreviated title | CLTW 2022 |
Country/Territory | France |
City | Marseille |
Period | 20/06/22 → 20/06/22 |
Internet address |