Training Strategies for Neural Multilingual Morphological Inflection


Abstract in English

This paper presents the submission of team GUCLASP to SIGMORPHON 2021 Shared Task on Generalization in Morphological Inflection Generation. We develop a multilingual model for Morphological Inflection and primarily focus on improving the model by using various training strategies to improve accuracy and generalization across languages.

References used

https://aclanthology.org/

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