A model for ranking sentence pairs in parallel corpora
Yidong Chen, Xiaodong Shi, Changle Zhou, Qingyang Hong · 2005
In this paper, the problem of ranking sentence pairs in parallel corpora was addressed for the first time. To solve this problem, a novel model was proposed. In this model, both syntax features and semantics features of sentence pairs are considered. Since most today's statistical machine translation models depend on word alignment, features related to word alignment information are also included. Two experiments were carried out and the results showed that the model had promising performance.