This paper discusses our efforts to develop a full automatic speech recognition (ASR)
system for Scottish Gaelic, starting from a point of limited resource. Building ASR technology …

Like most other minority languages, Scottish Gaelic has limited tools and resources
available for Natural Language Processing research and applications. These limitations …

The transition from rule-based to neural-based architectures has made it more difficult for
low-resource languages like Scottish Gaelic to participate in modern language technologies …

The transition from rule-based to neural-based architectures has made it more difficult for
low-resource languages like Scottish Gaelic to participate in modern language technologies …

This research suggests a framework, Digital Humanities Readiness Assessment Framework
(DHuRAF), to assess the maturity level of the required infrastructure for Digital Humanities …

Of the roughly seven thousand languages currently spoken, fewer than fifty have a
significant digital presence. In order for a language to be used digitally and to survive in the …

In this paper, I compare three different methods for part-of-speech tagging Scottish Gaelic, a
lowresourced language. I compare a greedy Markov Model tagger, a Markov Model tagger …