It is not uncommon to see lists of semantically equivalent phrases in pedagogical materials. However, empirical investigations of the effect of synonymous phrase learning on vocabulary development are rarely attempted. The current study promotes computer-assisted synonymous phrase learning by introducing PREFER, a corpus-based paraphrasing system.…

This study extracts the comments from a large scale of Chinese EFL learners' translation corpus to study the taxonomy of translation errors. Two unsupervised machine learning approaches are used to obtain the computational evidences of translation error taxonomy. After manually revision, ten types of English to Chinese (E2C) and eight types…