Abstract
To develop a system for translation of one language to another is one of the most important research challenges in Artificial Intelligence (AI). In Machine Translation (MT) the name entity recognition (NER) is one of the most challenging task. In this paper we propose a new statistical method for transliterating the identified name entities based on the linguistic knowledge of possible conjuncts and diphthongs in source and target language. The work presented in this paper is part of a larger effort to develop MT system which can take care of name entities.
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© 2009 Indian Institute of Information Technology, India
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Balabantaray, R.C., Mohanty, S., Das, R.K. (2009). A Hybrid Approach for Transliteration of Name Entities. In: Tiwary, U.S., Siddiqui, T.J., Radhakrishna, M., Tiwari, M.D. (eds) Proceedings of the First International Conference on Intelligent Human Computer Interaction. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-203-1_22
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DOI: https://doi.org/10.1007/978-81-8489-203-1_22
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-8489-404-2
Online ISBN: 978-81-8489-203-1
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