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Recognition of Non-Manual Content in Continuous Japanese Sign Language

The quality of recognition systems for continuous utterances in signed languages could be largely advanced within the last years. However, research efforts often do not address specific linguistic features of signed languages, as e.g., non-manual expressions. In this work, we evaluate the potential...

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Detalles Bibliográficos
Autores principales: Brock, Heike, Farag, Iva, Nakadai, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582855/
https://www.ncbi.nlm.nih.gov/pubmed/33019608
http://dx.doi.org/10.3390/s20195621