The maximum entropy (ME) framework is a recent learning approach which has been successfully used in various NLP tasks such as sentence segmentation, part-of-speech tagging, and parsing (Ratnaparkhi, 1998).
to our knowledge, ours is the first research effort to have applied ME learning to the full-scale ST task.