Improving on-line handwritten recognition in interactive machine translation

This work presents an e-pen enabled system where handwriting is used to amend the errors of a machine translation system. Handwriting recognition is performed in such a way that the contextual information (source, prefix, translation, and error) is integrated to improve the final recognition accuracy.164