The Application of Intelligent Translation System Based on Machine Translation in English Education Curriculum Reforms

Model	NIST2005	NIST2008	NIST2012	Average
Transformer	38.14	30.15	28.37	32.22
BERT	39.25	32.15	29.34	33.58
GAN	43.88	35.72	30.48	36.69
BP	43.12	35.18	32.75	37.02
POS	44.12	35.14	30.14	36.47
Model of this article	45.16	38.84	35.37	39.79

Dimension	Test	Class	N	Mean	Standard deviation	T	P
Total English score	Before experiment	Experimental class	43	67.05	10.471	0.383	0.684
	Before experiment	Control class	43	67.65	11.105	0.383	0.684
	After experiment	Experimental class	43	69.66	5.736	2.058	0.041
	After experiment	Control class	43	66.52	6.175	2.058	0.041

Model	WMT2017	WMT2018	WMT2019	Average
Transformer	20.29	32.32	26.18	26.26
BERT	20.69	32.35	26.21	26.42
GAN	21.66	31.48	25.78	26.31
BP	22.15	32.03	26.31	26.83
POS	21.12	33.03	26.31	26.82
Model of this article	22.84	34.18	26.88	27.97

Topic	Cass	N	Mean	Standard deviation	T	P
Translation	Experimental class	43	10.42	1.509	2.066	0.031
Translation	Control class	43	9.63	1.172	2.066	0.031
Writing	Experimental class	43	8.85	2.031	2.036	0.036
Writing	Control class	43	7.69	2.253	2.036	0.036
Vocabulary and structure	Experimental class	43	9.88	1.249	2.038	0.033
Vocabulary and structure	Control class	43	9.01	1.712	2.038	0.033
Hearing comprehension	Experimental class	43	17.08	1.683	0.227	0.088
Hearing comprehension	Control class	43	17.01	2.101	0.227	0.088
Reading comprehension	Experimental class	43	23.43	2.623	0.556	0.608
Reading comprehension	Control class	43	23.18	2.704	0.556	0.608

Częstotliwość wydawania:: 1 razy w roku
Dziedziny czasopisma:: Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne