Before revision:  This shows potential for further improvement in SLT by either jointly training the SLR and translation systems or by revising the gloss annotation system .
After revision:  This contradicts previous claims that GT gloss translation acts as an upper bound for SLT performance and reveals that glosses are an inefficient representation of sign language. For future SLT research, we therefore suggest an end-to-end training of the recognition and translation models, or using a different sign language annotation scheme .