Translation-Inspired OCR
| Autor: | Andrew W. Senior, Frank Yung-Fong Tang, Ashok C. Popat, Eugene Ie, Nemanja Spasojevic, Dmitriy Genzel, Michael Edward Jahr |
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| Rok vydání: | 2011 |
| Předmět: |
Machine translation
Computer science business.industry Speech recognition Word error rate Optical character recognition Transfer-based machine translation computer.software_genre Example-based machine translation Text mining Rule-based machine translation Cache language model Artificial intelligence Language model Computational linguistics business computer Natural language processing |
| Zdroj: | ICDAR |
| DOI: | 10.1109/icdar.2011.269 |
| Popis: | Optical character recognition is carried out using techniques borrowed from statistical machine translation. In particular, the use of multiple simple feature functions in linear combination, along with minimum-error-rate training, integrated decoding, and $N$-gram language modeling is found to be remarkably effective, across several scripts and languages. Results are presented using both synthetic and real data in five languages. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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