Name
Abstract | ||
|---|---|---|
This paper reports about our work in the HOO shared task 2011. The task is to automatically correct the English of a given document. For that, we have developed a hybrid system of a statistical CRF based model along with a rule-based technique has been used. The system has been trained on the HOO shared task training datasets and run on the test set given by the organizer of HOO. We have submitted one run, which has been demonstrated F-score of 0.204, 0.178 and 0.167 for detection, recognition and correction respectively. |
Year | Venue | Keywords |
|---|---|---|
2011 | ENLG | statistical crf,hybrid system,task training datasets,paper report,rule-based technique |
Field | DocType | Citations |
Computer science,Speech recognition,Artificial intelligence,Natural language processing,Hybrid system,Test set | Conference | 2 |
PageRank | References | Authors |
0.39 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pinaki Bhaskar | 1 | 106 | 12.52 |
| Aniruddha Ghosh | 2 | 140 | 11.32 |
| Santanu Pal | 3 | 38 | 17.31 |
| Sivaji Bandyopadhyay | 4 | 929 | 107.30 |