Name
Abstract | ||
|---|---|---|
We present annotation guidelines and a web-based annotation framework developed as part of an effort to create a manually annotated Arabic corpus of errors and corrections for various text types. Such a corpus will be invaluable for developing Arabic error correction tools, both for training models and as a gold standard for evaluating error correction algorithms. We summarize the guidelines we created. We also describe issues encountered during the training of the annotators, as well as problems that are specific to the Arabic language that arose during the annotation process. Finally, we present the annotation tool that was developed as part of this project, the annotation pipeline, and the quality of the resulting annotations. |
Year | Venue | Keywords |
|---|---|---|
2014 | LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Error Annotation,Arabic,Guidelines |
Field | DocType | Citations |
Annotation,Arabic,Computer science,Text types,Speech recognition,Error detection and correction,Artificial intelligence,Natural language processing | Conference | 31 |
PageRank | References | Authors |
1.50 | 13 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wajdi Zaghouani | 1 | 197 | 21.27 |
| Behrang Mohit | 2 | 188 | 16.06 |
| Nizar Habash | 3 | 1833 | 145.59 |
| Ossama Obeid | 4 | 70 | 6.43 |
| Nadi Tomeh | 5 | 35 | 1.93 |
| Alla Rozovskaya | 6 | 350 | 22.71 |
| Noura Farra | 7 | 35 | 1.93 |
| Sarah Alkuhlani | 8 | 64 | 3.56 |
| Kemal Oflazer | 9 | 781 | 98.46 |