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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
Subjects: Translation
Issue Date: 2013
Conference: International Conference on Document Analysis and Recognition (ICDAR) (12th : 25-28 Aug 2013 : Washington DC, United States) 
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.
Open URL: Link to full text
Type: Conference Presentation
Appears in Collections:Department of Electrical Engineering

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