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Research on English Corpus Construction and Optimisation of Language Teaching Strategies Supported by Data Mining Algorithms

  
17. März 2025

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COVER HERUNTERLADEN

Figure 1.

The main process of automatically building corpus
The main process of automatically building corpus

Figure 2.

English collocation words
English collocation words

Figure 3.

Test data and data analysis
Test data and data analysis

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%
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere