In contrast to the word-level alignment methods, we attempt to mine burst-level alignment to largely narrow down candidates, and introduce powerful clues for improving accuracy and discovering various language knowledge.
formally, for a node c ∈ V c in the Chinese BINet, its candidate nodes in the English BINet can be derived as: where e ∈ V e , and P(c) and P(e) are the burst periods of c and e respectively.