Research on English Corpus Construction and Optimisation of Language Teaching Strategies Supported by Data Mining Algorithms
17 mar 2025
Acerca de este artículo
Publicado en línea: 17 mar 2025
Recibido: 29 oct 2024
Aceptado: 12 feb 2025
DOI: https://doi.org/10.2478/amns-2025-0179
Palabras clave
© 2025 Hong Zhou, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1.

Figure 2.

Figure 3.

Gender distribution
Frequency | Percent | Valid percent | Cumulative percent | |
---|---|---|---|---|
Male | 52 | 47.27 | 47.27 | 47.27 |
Female | 58 | 52.73 | 52.73 | 100 |
Total | 110 | 100 | 100 |
Error distribution
Error type (marked symbol) | Number of errors in total (number) | The proportion of the errors |
---|---|---|
Etymology | 4802 | 26.57% |
Verb phrase | 3241 | 17.94% |
Noun phrase | 1348 | 7.46% |
Pronoun | 334 | 1.85% |
Adjective phrase | 92 | 0.51% |
Adverb | 110 | 0.61% |
Prepositional phrase | 223 | 1.23% |
Conjunction | 42 | 0.23% |
Vocabulary | 3514 | 19.45% |
Collocation | 492 | 2.72% |
Syntax | 3872 | 21.43% |
Total | 18070 | 100% |
Appoint usage statistics
No. | Typical period | Frequency |
---|---|---|
1 | Was appointed to/by/as | 68 |
2 | Sb appointed position/sb appointed name as | 34 |
3 | Have/has been appointed to/by/as/for | 28 |
4 | Should/shall/will/may/can be appointd | 14 |
5 | Has/had appointed sb as | 10 |
6 | Appointed attributive | 30 |
English performance
Frequency | Percent | Valid percent | Cumulative percent | |
---|---|---|---|---|
Good | 8 | 7.27% | 7.27% | 7.27 |
General | 48 | 43.64% | 43.64% | 50.91 |
Bad | 54 | 49.09% | 49.09% | 100 |
Total | 110 | 100% | 100% |