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Name : Bassam Haddad

Academic Rank: Associate Professor

Administrative Position : Faculty Academic Member

Office 7305       Ext No 7305

Email :

Specialization: Computer Science

Graduate Of: Vienna University of Technology






    Dortmund University
    Dortmund University
    Vienna University of Technology

  • Book

      Bassam Haddad and M., " A Compositional Approach towards Semantic Representation and Construction of ARABIC " , "Notes in Artificial Intelligence, LNAI 3492",Vol.,No., Springer-Verlag, Bordeaux, France, 05/02/2005 Abstract:

      Ahmad Awwad, Bassam , " Efficient Grid and Pipeline on the OTIS-ARRANGMENT NETWORK " , "Lecture Notes in Computer Science,The 2010 International Symposium on Frontiers of Parallel and Distributed Computing(FPDC 2010), in conjunction with The 10th International Conference on Algorithms and Architecture for Parallel Processing (ICA3PP 2010)",Vol.,No., Springer Verlag, Busan, Korea, 05/20/2010 Abstract:

  • Journal Paper

      Bassam Haddad abd M., " Detection and Correction of Non-Words in Arabic: A Hybrid Approach " , "International Journal of Computer Processing of Oriental Languages, IJCPOL",Vol.Vol. 20, ,No.Number 4, World Scientific Publishing , New Jersey, London, Singapore, Beijing, Shanghai, Hong Kong, Taipei, Chennai, 12/01/2007 Abstract: Download

      Bassam Haddad, " Semantic Representation of Arab A Logical Approach to­wards Compositionality and Generalized Arabic Quantifiers " , "International Jour­nal of Computer Processing of Oriental Languages, IJCPOL",Vol.20,No.1, World Scientific Publishing and Imperial College Press, New Jersey, London, Singa­pore, Beijing, Shanghai, Hong Kong, Taipei, Chennai, 03/01/2007 Abstract: Download

      Awwad, A., Al-Sadi, , " Structural Outlooks for the OTIS-Arrangement Network. " , " International Journal of Grid and High Performance Computing (IJGHPC)",Vol.,No., IGI Global, , 10/17/2011

      Bassam Haddad, " Cognitive Aspects of a Statistical Language Model for Arabic based on Associative Probabilistic Root-PATtern Relations: A-APRoPAT " , "Infocommunications Journal ",Vol. 5,No. 3, Scientific Association for Infocommunications (HTE), , 09/01/2013 Abstract:
      Motivated by the nature of Arabic and encouraged by the delivered indications by psycho-cognitive research in retrieval of linguistic constituents of a word, a statistical language model for Arabic based on Associative Probabilistic bi-directional Root-PATtern relations”, (A-APRoPAT) was formalized. The basic components of this model are relying on bi-directional probabilistic root-pattern relationships acting as cognitive morphological factors for word recognition in addition to semantic classes capturing textual and contextual root associative network. Considering a root in the mental representation as the highest level of symbolic semantic abstraction for a morphological unit allows the perception of words as a probabilistic applicative process instantiating the most plausible or known pattern to the most conceivable root, in an Associative Root-Pattern Network. As Arabic is known for its highly inflectional morphological structure and its high tendency to pattern and root ambiguity (Pattern Polysemy and Root-Homonymy) this model is assuming bi-directional morphological background knowledge for resolving ambiguities in the form of a probabilistic semantic network. As a major consequence, this paper is stressing the significance of this phenomenon in designing Artificial Cognitive Systems and Cognitive Infocommunications Applications concerned with Arabic interactive systems particularly those related to Arabic natural language understanding and human visual word identification and corrections besides the overall domination of Arabic morphology as a non-linear or non-concatenated processing system in the case of word identification. Key words— Cognitive Informatics, Cognitive Linguistics, Cognitive Infocommunications, Statistical Language Model, Arabic Morphology, Visual Word Identification, Probabilistic Root- Pattern Associative Relation, Root-Homonymy, Pattern Polysemy, Pattern Syntax, Pattern Semantic.

      Nuha El-Khalili, Bassam Haddad, Haya El-Ghalayini, " Language Engineering for Creating Relevance Corpu " , "International Journal of  Software Engineering and Its Applications",Vol.00,No., s e, Amman, 01/01/2015 Abstract:
      Language Engineering for Creating Relevance Corpu

      Bassam Haddad, Ahmad Awwad , Mamoun Hattab and Ammar Hattab , " Associative Root–Pattern Data and Distribution in Arabic Morphology " , "Data",Vol.00,No., MDPI AG Basel Switzerland, Zarqa, Jordan, 03/29/2018 Abstract:
      Associative Root–Pattern Data and Distribution in Arabic Morphology

  • Conference paper

      Mamoun Hattab, Bassa, " Addaall Arabic Search Engine: Improving Search based on Combination of Morphological Analysis and Generation Considering Semantic Patterns " , "The second International Confe­rence on Arabic Language Resources and Tools",Vol.,No., , Cairo, Egypt, 04/15/2009 Abstract: Download

      Bassam Haddad and M., " Morpho-Probabilistic Approach Towards Arabic Non-Words Detection & Correction " , "International Conference on Machine Intelligence, ACIDCA-ICMI’2005",Vol.,No., , Tunisia, 2005., 11/05/2005 Abstract:

      Bassam Haddad, M. Ya, " Logical Aspect of Unification-Based Arabic Semantic Construction " , "Arabic Language Resources and Evaluation: Status and Prospects, Conference Workshop of LREC-2002",Vol.,No., , Las Palmas, Spain, 06/01/2002 Abstract:

      Bassam Haddad and M., " Towards Understanding Arabic: A Logical Approach for Semantic Representation " , " Association for Computational Linguistics (ACL-2001), 10th Conference of the European Chapter, Arabic Language Processing: Status and Prospects",Vol.,No., Morgan Kaufman Publisher, Toulouse, France, 07/15/2001 Abstract:

      Bassam Haddad and M., " Composition of ARABIC: A Lambda-DRT Based Approach " , "MT Summit IX Workshop on Machine Translation for Semantic Languages",Vol.,No., , New Orleans, USA, 07/15/2003 Abstract:

      Bassam Haddad, M. Y, " Compositional Semantic for Arabic " , "Conference on the Processing of Arabic, University of Manouba",Vol.,No., , Manouba, Tunisia, 09/15/2002 Abstract:

      Yaseen M., Atiyya M., " Building Annotated Written and Spoken Arabic Cor­pora Resources in NEMLAR Project " , "Fifth International Confe­rence on Lan­guage Resources and Evaluation, LREC-2006",Vol.,No., , Genoa-Italy, 06/01/2006 Abstract: Download

      Yaseen M., Haddad B., " A Term Base Translator Over The Web " , "10th Conference of the European Chapter,Arabic Language Processing: Status and Prospects",Vol.,No., Morgan Kaufman Publisher, Toulouse, France, 07/07/2001 Abstract: Download

      Bassam Haddad, " Probabilistic Bi-directional Root-Pattern Relationships as Cognitive Model for Semantic Processing of Arabic " , " IEEE Conference on Cognitive Infocommunications, (IEEE CogInfoCom 2012) ",Vol.,No., , , 12/02/2012

      Bassam Haddad, Nuha , " A Cognitive Query Model for Arabic based on Probabilistic Associative Morpho-Phonetic Sub-Networks " , " IEEE 5th International Conference on Cognitive Infocommunications – CogInfoCom ‎‎2014‎",Vol.,No., IEEE, , 10/02/2014 Abstract:
      This paper is discussing some novel aspects related to formalizing a Cognitive Query Model for Arabic based on constructing query associative morpho-phonetic Sub-Networks in the context of Arabic query analysis and expansion. As Humans tend to use limited number of words with possibly incomplete and ambiguous representation for requesting information, predicting the intended information conveyed in a query keywords might affect an inter-cognitive communication dramatically. Based on Associative Probabilistic Bi-directional Root-Pattern Relations introduced in APRoPAT Statistical Language Model, a cognitively motivated representation for query semantic network construction is proposed. This Model attempts to predicting the most plausible intended query information by constructing a morphophonetic cognitive Sub-Network based on the query terms and instantiation of the most probable query root-pattern phonetic vectors within the global Associative Network expressed by the APRoPAT Mod
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