[Retracted] RNN Neural Network Model for Chinese-Korean Translation Learning

Table 2

Comparison of machine translation systems.

Genre	Pros and cons	Percentage
Rule-based	The translation cycle is long, the cost is too high, and it is easy to cause rule conflicts	57
Corpus-based	The cost is low, but there will also be data sparse problems, and expert knowledge needs to be integrated	16
Neural network-based	The system is not perfect yet, and there will be repeated translations or overinterpretation, resulting in mistranslations or missed translations	27