Please use this identifier to cite or link to this item:
|Title:||The UOB-Telecom ParisTech Arabic Handwriting Recognition and Translation Systems for the OpenHart 2013 Competition||Authors:||Morillot , Olivier
|Affiliations:||Department of Electrical Engineering||Keywords:||Arabic handwriting recognition
|Subjects:||Translation||Issue Date:||2013||Conference:||International Conference on Document Analysis and Recognition (ICDAR) (12th : 25-28 Aug 2013 : Washington DC, United States)||Abstract:||
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  were built for the evaluation system: one on text-line translation and one for sentence translation.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/1346||Open URL:||Link to full text||Type:||Conference Presentation|
|Appears in Collections:||Department of Electrical Engineering|
Show full item record
checked on May 5, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.