An iCALL approach to morphophonemic training for Irish using speech technology
Year: 2019
Type: book-chapter
Abstract: A key benefit in intelligent Computer Assisted Language Learning (iCALL) is that it allows complex linguistic phenomena to be incorporated into digital learning platforms, either for the autonomous learner or to complement classroom teaching. The present paper describes (1) complex phonological/morphophonemic alternations of Irish, which are problematic for many learners; (2) an iCALL platform, An Scéalaí, which uses speech technology and Natural Language Processing (NLP) prompts to train writing and aural skills – in this paper the target is the morphophonemic alternations of (1); and (3) a perception experiment to guide how the platform might be used for prompt-based self-correction. The perception experiment has been carried out using newly built synthetic voices based on deep neural network technology.
Authors: Neasa Ní Chiaráin, Ailbhe Ní Chasaide
Institution: Trinity College Dublin
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W2990220151