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Bengali-to-English Forward and Backward Machine Transliteration Using Support Vector Machines

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 776))

Abstract

Name transliteration is an area which deals with transliteration of out-of-vocabulary (OOV) words. It plays an important role in developing automatic machine translation and cross lingual information retrieval system because these systems cannot directly translate out-of-vocabulary (OOV) words. In this article, we present SVM based name transliteration approach that considers transliteration task as a multi-class problem of pattern classification, where the input is a source transliteration unit (chunks of source grapheme) and the classes are the distinct transliteration units (chunks of target grapheme) in the target language. Our proposed approach deals with Bengali-to-English forward and backward name transliteration. Our proposed method has also been compared with some existing transliteration model that uses a modified version of Joint-Source channel model. After the systems have been evaluated, the obtained results show that our proposed SVM based model gives the best results among the others.

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Acknowledgments

This research work has received support from the project entitled ‘‘Design and Development of a System for Querying, Clustering and Summarization for Bengali’’ funded by the Department of Science and Technology, Government of India under the SERB scheme.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Kamal Sarkar & Soma Chatterjee

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  1. Kamal Sarkar
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  2. Soma Chatterjee
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Correspondence to Kamal Sarkar .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Sarkar, K., Chatterjee, S. (2017). Bengali-to-English Forward and Backward Machine Transliteration Using Support Vector Machines. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_43

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  • DOI: https://doi.org/10.1007/978-981-10-6430-2_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6429-6

  • Online ISBN: 978-981-10-6430-2

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