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Betreuer/in: Sarah Ebling, Mathias Müller
The aim of this project is to conduct research into neural machine translation (NMT) between sign language and spoken language text. You will be involved in preparing an existing sign language dataset for use in NMT and performing NMT experiments.
Important contributions will include:
Completion of the following lectures:
Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudrealt, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, and Meredith Ringel Morris. Sign language recognition, generation, and translation: An interdisciplinary perspective. In ASSETS 2019. ACM, October 2019.
Necati Cihan Camgöz, Simon Hadfield, Oscar Koller, Hermann Ney, and Richard Bowden. Neural Sign Language Translation. In Proceedings of CVPR 2018, 2018.