We simply map traditional Chinese characters to simplified Chinese, and optimize on the same character embedding matrix across datasets, which is pre-trained on Chinese Wikipedia corpus, using word2vec toolkit (Mikolov et al., 2013).
each character in a sentence is labeled as one of L = {B, M, E, S}, indicating the begin, middle, end of a word, or a word with single character.