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Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

Generation of Bangla Text from Universal Networking Language Expression

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  • @INPROCEEDINGS{10.1007/978-3-642-32573-1_25,
        author={Md. Ali and Shaikh Allayear and M. Ameer Ali and Golam Sorwar},
        title={Generation of Bangla Text from Universal Networking Language Expression},
        proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
        proceedings_a={SPIT \& IPC},
        year={2012},
        month={10},
        keywords={Interlingua Universal Networking Language Universal Word Morphology DeConverter Generation Rules},
        doi={10.1007/978-3-642-32573-1_25}
    }
    
  • Md. Ali
    Shaikh Allayear
    M. Ameer Ali
    Golam Sorwar
    Year: 2012
    Generation of Bangla Text from Universal Networking Language Expression
    SPIT & IPC
    Springer
    DOI: 10.1007/978-3-642-32573-1_25
Md. Ali1,*, Shaikh Allayear1,*, M. Ameer Ali1,*, Golam Sorwar2
  • 1: East West University
  • 2: Southern Cross University
*Contact email: nawab@ewubd.edu, allayear@ewubd.edu, ameer7302002@yahoo.com

Abstract

This paper presents a work on generating Bangla sentences from an interlingua representation called Universal Networking Language (UNL). UNL represents knowledge in the form of semantic network like hyper-graphs which contains disambiguated words, binary semantic relations, and speech act like attributes associated with the words, assisted by the semantically rich lexicon and a set of analysis and generation rules. We have developed a set of generation rules for converting UNL expression to Bangla sentences. Our experiment shows that these rules successfully generate correct Bangla sentences from UNL expressions.

Keywords
Interlingua Universal Networking Language Universal Word Morphology DeConverter Generation Rules
Published
2012-10-08
http://dx.doi.org/10.1007/978-3-642-32573-1_25
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