Word-level Morpheme segmentation using Transformer neural network
Tsolmon Zundi, Chinbat Avaajargal · 2022
This paper presents the submission of team NUM DI to the SIGMORPHON 2022 Task on Morpheme Segmentation Part 1, word-level morpheme segmentation.We explore the transformer neural network approach to the shared task.We develop monolingual models for world-level morpheme segmentation and focus on improving the model by using various training strategies to improve accuracy and generalization across languages.