Browsing College of Computing and Information Sciences (CoCIS) by Author "Nabende, Peter"

Now showing items 1-7 of 7

    • Evaluation of dynamic bayesian network models for entity name transliteration 

      Nabende, Peter (BeNeLearn 09, 2009-05-17)
      This paper proposes an evaluation of DBN models so as to identify DBN configurations that can improve machine transliteration accuracy

    • An expert system for diagnosing heavy-duty diesel engine faults 

      Nabende, Peter; Wanyama, Tom (Springer Verlag, 2008-09)
      Heavy-Duty Diesel Engines (HDDEs) support critical and high cost services, thus failure of such engines can have serious economic and health impacts. It is necessary that diagnosis is done during both preventive maintenance ...

    • Relationship between information systems development paradigms and methods 

      Nabende, Peter; Ahimbisibwe, Benjamin; Lubega, Jude T. (2009)
      There are well established paradigms for information systems development but the methods used for Information Systems Development (ISD) have not been tied to most of these paradigms. Researchers have attempted to document ...

    • Relationship between information systems development paradigms and methods 

      Nabende, Peter; Ahimbisibwe, Benjamin; Lubega, Jude T. (Fountain Publishers, Kampala., 2009-08-03)
      There are well established paradigms for information systems development but the methods used for Information Systems Development (ISD) have not been tied to most of these paradigms. Researchers have attempted to document ...

    • Translating transliterations 

      Tiedemann, Jörg; Nabende, Peter (Fountain Publishers, Kampala., 2009-08-03)
      Translating new entity names is important for improving performance in Natural Language Processing (NLP) applications such as Machine Translation (MT) and Cross Language Information Retrieval (CLIR). Usually, transliteration ...

    • Translating transliterations 

      Tiedemann, Jörg; Nabende, Peter (Fountain Publishers, Kampala, 2009)
      Translating new entity names is important for improving performance in Natural Language Processing (NLP) applications such as Machine Translation (MT) and Cross Language Information Retrieval (CLIR). Usually, transliteration ...

    • Transliteration system using pair HMM with weighted FSTs 

      Nabende, Peter (World Scientific Publishing Co Pte Ltd, 2009-08-07)
      This paper presents a transliteration system based on pair Hidden Markov Model (pair HMM) training and weighted Finite State Transducer (WFST)techniques. Parameters used by WFSTs for transliteration generation are learned ...