Research Article

An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences

Table 2

Experiments on the existing baseline systems vs. variants of our novel model.

#ModelDevelopment setTest set
ROUGEBLEU-1BLEU-2BLEU-3BLEU-4ROUGEBLEU-1BLEU-2BLEU-3BLEU-4

Existing baseline systems
2aNone29.5428.3315.7110.328.5728.6026.6515.0210.278.24
2bTransformer30.2829.8216.9811.898.9329.8929.4516.7211.788.82
2cLuong31.6732.1818.5612.389.4630.7130.0117.4312.119.02
2dBahdanau31.9331.6618.7012.799.5331.5631.3218.3612.369.25

Our proposed systems
2e+T-Conv32.0830.0818.1512.889.9731.3430.9418.2612.719.76
2f+DH-BiGRUs31.5530.2118.2913.059.8431.2031.4617.6412.409.65
2g+TC-DHBG-Net (+T-Conv + DH-BiGRUs)31.6931.2318.6213.1510.1632.2532.1919.3813.7110.66
2h+FSDC32.1331.7218.8412.989.7931.5231.7219.0413.019.71
2i+FSDC+ TC-DHBG-Net32.7631.4319.1213.4010.3532.9931.8619.5113.8110.73

Bold indicates the best performance.