Name
Abstract | ||
|---|---|---|
•A novel two-step OOV words detection and recovery method is proposed.•The proposed method is generic and independent of the recognition engine.•The proposed method uses various sub-lexical modeling to improve the detection step.•The recovery process relies on dynamic lexicons built from large text corpora.•The proposed method significantly improves the recognition results. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2019.05.003 | Pattern Recognition |
Keywords | Field | DocType |
Arabic Handwriting recognition,Out of vocabulary detection and recovery,Static lexicon,Dynamic lexicon,Statistical language model,Deep learning,Multi-dimensional long short term memory network | Arabic,Arabic handwriting recognition,Exploit,Lexicon,Artificial intelligence,Natural language processing,Out of vocabulary,Vocabulary,Text recognition,Mathematics,Machine learning,Benchmarking | Journal |
Volume | Issue | ISSN |
93 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sana Khamekhem Jemni | 1 | 1 | 1.72 |
| Yousri Kessentini | 2 | 100 | 15.39 |
| Slim Kanoun | 3 | 209 | 20.14 |