This paper proposes an evaluation of DBN models so as to identify DBN configurations that can improve machine transliteration accuracy

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...