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We evaluate on two publicly available large vocabulary databases representing lab-data (SIGNUM database: 25 signers, 455 sign vocabulary, 19k sentences) and unconstrained 'real-life' sign language (RWTH-PHOENIX-Weather database: 9 signers, 1081 sign vocabulary, 7k sentences) and achieve up to 10.0%/16.4% and respectively up to 34.3%/53.0% word error rate for single signer/multi-signer setups.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com