| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10360397 | Pattern Recognition | 2014 | 12 Pages |
Abstract
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
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Vicent Alabau, Alberto Sanchis, Francisco Casacuberta,