Much scholarship has been done on Indo-European language processing with the goal of accurate machine translation. However, little work has been done so far in the Chinese language, because it is character-based and lacking spaces between words. Our project aims to explore whether Recurrent Neural Network (RNN), a new algorithm based on Neural Network, is capable of performing better than previous approaches that rely heavily on human choices of features.