Mohamed Seghir Hadj Ameur


Hadj Ameur Mohamed Seghir

Doctoral Student

USTHB

Mail: mohamedhadjameur@gmail.com

Research areas: Natural Language Processing;

Machine Translation;

Machine Learning;

Metaheuristics;

CV: Mohamed Seghir Hadj Ameur

 

I am a Ph.D. Student at the USTHB University in Algeria. I am currently working on English-Arabic Machine Translation (MT) which is a subfield of the Natural Language Processing (NLP). I am interested in all NLP applications, in particular, those concerning the Arabic language.
2018
Arabic Question Classification Using Support Vector Machines and Convolutional Neural Networks, .Aouichat,A.;Hadj Ameur,M.;Guessoum,A.. 23rd International Conference on Natural Language & Information Systems, 13th June 2018, Springer


An Automatic Approach for WordNet Enrichment Applied to Arabic WordNet, .Hadj Ameur,M.;Khadir,A.;Guessoum,A.;. International Conference on Arabic Language Processing, ICALP 2017, Springer, Cham


Toward a Context-Aware Multilingual Personalized Search, .Hadj Ameur,M.;Moulahoum,Y;Berkani,L.;Guessoum,A.. In: Lachkar A., Bouzoubaa K., Mazroui A., Hamdani A., Lekhouaja A. (eds) Arabic Language Processing: From Theory to Practice. ICALP 2017, Communications in Computer and Information Science, vol 782. Springer, Cham


2017
Arabic Machine Transliteration using an Attention-based Encoder-Decoder Model, Hadj Ameur,M.;Guessoum,A. To appear in the proceedings of the Third International Conference on Arabic Computational Linguistics (ACLing),


2015
Restoration of Arabic Diacritics Using a Multilevel Statistical Model , Guessoum,A.; Hadj Ameur,M. A. Abdelmalek, L.Bellatreche, Z.Elberrichi, E.J. Neuhold, and R. Wrembel (eds.): Computer Science and Its Applications - 5th IFIP TC 5 International Conference, CIIA 2015, Springer