Analysis and research on lexical errors in machine translation in Chinese and Korean translation
Lina Leng, Guangyong Shan · International Journal of Frontiers in Engineering Technology · 2019
In the current Korean language major learning, there are not a few students who rely on machine translation to complete the learning, Especially for beginner and intermediate students. Due to their lack of Korean proficiency, they cannot make a correct judgment on the quality of the translation, and the current machine translation quality has not reached a high level. Therefore, it is particularly important to analyze the errors in machine translation to improve the quality of the output text of machine translation and to make appropriate post-editing.