Name
Abstract | ||
|---|---|---|
On-line handwriting text recognition (HTR) could be used as a more natural way of interaction in many interactive applications. However, current HTR technology is far from developing error-free systems and, consequently, its use in many applications is limited. Despite this, there are many scenarios, as in the correction of the errors of fully-automatic systems using HTR in a post-editing step, in which the information from the specific task allows to constrain the search and therefore to improve the HTR accuracy. For example, in machine translation (MT), the on-line HTR system can also be used to correct translation errors. The HTR can take advantage of information from the translation problem such as the source sentence that is translated, the portion of the translated sentence that has been supervised by the human, or the translation error to be amended. Empirical experimentation suggests that this is a valuable information to improve the robustness of the on-line HTR system achieving remarkable results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.patcog.2013.09.035 | Pattern Recognition |
Keywords | Field | DocType |
translation problem,translation error,htr accuracy,fully-automatic system,improving on-line handwritten recognition,on-line htr system,machine translation,current htr technology,source sentence,error-free system,interactive machine translation,valuable information,human interaction | Handwriting,Computer science,Machine translation,Handwriting recognition,Robustness (computer science),Prefix,Artificial intelligence,Natural language processing,Pattern recognition,Interactive machine translation,Speech recognition,Transfer-based machine translation,Sentence | Journal |
Volume | Issue | ISSN |
47 | 3 | 0031-3203 |
Citations | PageRank | References |
10 | 0.48 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vicent Alabau | 1 | 90 | 12.21 |
| Alberto Sanchis | 2 | 73 | 7.67 |
| francisco casacuberta | 3 | 1439 | 161.33 |