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Practice and Evaluation of an Intelligent Translation System for English Language Teaching in the Classroom

  
24 sept. 2025
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Figure 1.

System requirements analysis schematic
System requirements analysis schematic

Figure 2.

The overall architecture of the translation system of English teaching
The overall architecture of the translation system of English teaching

Figure 3.

Neural probability language model
Neural probability language model

Figure 4.

The distribution of the height of the wmt17zh-en data collection
The distribution of the height of the wmt17zh-en data collection

Figure 5.

The BLEU scores of the three models
The BLEU scores of the three models

Figure 6.

Experiment 1 results
Experiment 1 results

Figure 7.

The three algorithms are values of different recent neighbors
The three algorithms are values of different recent neighbors

Figure 8.

The probability of mastering five properties
The probability of mastering five properties

Figure 9.

The learning path of b and c
The learning path of b and c

Figure 10.

The results of the analysis of the differences in the previous period
The results of the analysis of the differences in the previous period

Figure 11.

The results of the interaction difference between teachers and students
The results of the interaction difference between teachers and students

Figure 12.

Satisfaction difference analysis results
Satisfaction difference analysis results

Parallel material information of experiment

Data type Name Size
Training set WMT20zh-en 234k
Verification set newsdev2020 8k
Test set newstest2020 8k

The sequence of learning materials selected by genetic algorithm

Learners Learning material Knowledge point Media Content Disciplines Difficulty
B D A4 Image Examples English 0.627
E A5 Image Examples English 0.618
C D A4 Image Examples English 0.627