The UOB-Telecom ParisTech Arabic Handwriting Recognition and Translation Systems for the OpenHart 2013 Competition
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| Titel: | The UOB-Telecom ParisTech Arabic Handwriting Recognition and Translation Systems for the OpenHart 2013 Competition |
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| Autoren: | Morillot, Olivier, Oprean, Cristina, Likforman-Sulem, Laurence, Mokbel, Chafic, Chammas, Edgar, Grosicki, Emmanuèle |
| Weitere Verfasser: | Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS), University of Balamand Liban (UOB), CEP Arcueil (DGA/CTA/DT/GIP), Délégation Générale pour l'Armement |
| Quelle: | OpenHaRT 2013 Workshop Proceedings ; 12th International Conference on Document Analysis and Recognition (ICDAR), 2013 ; https://hal.science/hal-00948985 ; 12th International Conference on Document Analysis and Recognition (ICDAR), 2013, Aug 2013, Washington DC, United States. pp.NIST |
| Verlagsinformationen: | HAL CCSD |
| Publikationsjahr: | 2013 |
| Bestand: | Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
| Schlagwörter: | [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing |
| Geographisches Schlagwort: | Washington DC, United States |
| Time: | Washington DC, United States |
| Beschreibung: | International audience ; This article is a description of the two systems proposed for the recognition of Arabic handwritten text lines and for the automatic translation of text-line and sentence images into English text. The recognition systems are based on HMMs (Hidden Markov Models) and BLSTMs (bi-directional long short term memory) recurrent networks. Two SMT (Statistical Machine Translation) systems based on MOSES [1] were built for the evaluation system: one on text-line translation and one for sentence translation. |
| Publikationsart: | conference object |
| Sprache: | English |
| Relation: | hal-00948985; https://hal.science/hal-00948985; https://hal.science/hal-00948985/document; https://hal.science/hal-00948985/file/article_final_openhart_rewied_v2.pdf |
| Verfügbarkeit: | https://hal.science/hal-00948985 https://hal.science/hal-00948985/document https://hal.science/hal-00948985/file/article_final_openhart_rewied_v2.pdf |
| Rights: | info:eu-repo/semantics/OpenAccess |
| Dokumentencode: | edsbas.E41036F1 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | International audience ; This article is a description of the two systems proposed for the recognition of Arabic handwritten text lines and for the automatic translation of text-line and sentence images into English text. The recognition systems are based on HMMs (Hidden Markov Models) and BLSTMs (bi-directional long short term memory) recurrent networks. Two SMT (Statistical Machine Translation) systems based on MOSES [1] were built for the evaluation system: one on text-line translation and one for sentence translation. |
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