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Automatic Construction of a Phonics Curriculum for Reading Education Using the Transformer Neural Network
Abstract : Key to effective phonics instruction is the teaching of graphemephoneme (GP) correspondences in a systematic progression that starts with the most frequent and consistent pronunciation rules. However, discovering the relevant rules is not a an easy task and usually requires subjective analysis by a native speaker and/or expert linguist. We describe GPA4.0, a submodule to the Transformer neural network model that automatizes the task of grapheme-tophoneme (g2p) transcription and alignment. The network is trained with four different languages of decreasing orthographic transparency (Spanish
https://hal.archives-ouvertes.fr/hal-03702075
Contributor : Cassandra Potier Watkins Connect in order to contact the contributor
Submitted on : Wednesday, June 22, 2022 - 5:09:52 PM
Last modification on : Friday, June 24, 2022 - 1:38:38 PM
Contributor : Cassandra Potier Watkins Connect in order to contact the contributor
Submitted on : Wednesday, June 22, 2022 - 5:09:52 PM
Last modification on : Friday, June 24, 2022 - 1:38:38 PM
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potierwatkins_AIED2019.pdf
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