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Automatic translation system for characters of foreign literary works based on sparse representation

机译：基于稀疏表示的外国文学作品特征自动翻译系统

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摘要

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.
机译：本研究研究了基于稀疏表示的外国文学作品特征的自动翻译系统。 计算机辅助翻译的强大优势和广泛应用证明了机器翻译和人类翻译并不反对，两者之间的关系实际上是互补的。 本文使用稀疏编码理论来构建智能模型，可以分析具有戏剧理解的人物模式。 组合图像处理和计算机系统模型以构建系统。 该方法在公共数据库上验证，并与最新算法进行比较。

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