Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/1346
Title: The UOB-Telecom ParisTech Arabic Handwriting Recognition and Translation Systems for the OpenHart 2013 Competition
Authors: Morillot , Olivier
Oprean, Cristina
Likforman-Sulem, Laurence
Mokbel, Chafic 
Chammas, Edgar
Grosick, Emmanuèle
Affiliations: Department of Electrical Engineering 
Keywords: Arabic handwriting recognition
Textline recognition
Preprocessing
HMM
BLSTM
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 [1] 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

Record view(s)

1
checked on May 5, 2021

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.