Lien Soetemans

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2023

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GoSt-ParC-Sign: Gold Standard Parallel Corpus of Sign and spoken language
Mirella De Sisto | Vincent Vandeghinste | Lien Soetemans | Caro Brosens | Dimitar Shterionov
Proceedings of the 24th Annual Conference of the European Association for Machine Translation

Good quality training data for Sign Language Machine Translation (SLMT) is extremely scarce, and this is one of the challenges that any project focusing on Machine Translation (MT) which also targets sign languages is currently facing. The goal of this ongoing project is to create a parallel corpus of authentic Flemish Sign Language (VGT) and written Dutch which can be employed as gold standard in automated sign language translation. The availability of a gold standard corpus like Gost-ParC-Sign can facilitate the advances of SLMT; consequently, it supports and promotes inclusiveness in MT and, on a more general level, in language technology
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