A Transformer-Based Orthographic Standardiser for Scottish Gaelic
Junfan Huang,
Beatrice Alex,
Michael Bauer
et al.
Abstract: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 performance of deep-learning approaches correlates with the availability of training data, and low-resource languages have limited data reserves by definition. Historical and non-standard orthographic texts could be used to supplement training data, but manual conversion of these texts is expensive and timeconsuming. This pap… Show more
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