Open AccessTowards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization
Author(s) -
Pierre Poitier,
Jérôme Fink,
Benoît Frénay
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.14428/esann/2022.es2022-50
Subject(s) - computer science , lexical analysis , sign (mathematics) , natural language processing , sign language , transition (genetics) , artificial intelligence , recurrent neural network , artificial neural network , linguistics , mathematics , mathematical analysis , philosophy , biochemistry , chemistry , gene