Automatic translation system for characters of foreign literary works based on sparse representation
Xiangli Zhai · 2021
Automatic translation system for the characters of foreign literary works based on sparse representation is studied in this study. The powerful advantages and wide application of computer-assisted translation prove that machine translation and human translation are not opposed, and the relationship between the two is actually complementary. This paper uses the sparse coding theory to construct the intelligent model that can analyze the character patterns with semetic understanding. The image processing and computer system models are combined to construct the system. The proposed method is validated on the public database, and compared with the latest algorithms.