The neural network algorithm-based quality assessment method for university English translation

Figures & data

Figure 1. Quality assessment method of university English translation.

Table 1. Quality assessment results.

Evaluation Method	Average Quality Score	Pearson Correlation Coefficient
Human Evaluation	3.9	N/A
Neural Network Model	N/A	0.84

Figure 2. Result of accuracy.

Figure 3. Result of F-measure.

Figure 4. Result of precision.

Figure 5. Result of recall.

Data availability statement

“The datasets generated during and/or analysed during the current study will be available from the corresponding author on reasonable request”.