Publication Type : Journal Article
Publisher : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering,
Source : Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, Volume 62 LNICST, Amsterdam, p.262-264 (2012)
Keywords : Alphabet, Computer aided language translation, Data processing, Information retrieval systems, Named entities, Phonetic, Sequence Labeling, Signal processing, Support vector machines, Transliteration
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Center for Computational Engineering and Networking (CEN)
Year : 2012
Abstract : Transliteration is the process of replacing the characters in one language with the corresponding phonetically equivalent characters of the other language. India is a language diversified country where people speak and understand many languages but does not know the script of some of these languages. Transliteration plays a major role in such cases. Transliteration has been a supporting tool in machine translation and cross language information retrieval systems as most of the proper nouns are out of vocabulary words. In this paper, a sequence learning method for transliterating named entities from Tamil to Hindi is proposed. Through this approach, accuracy obtained is encouraging. This transliteration system can be embedded with Tamil to Hindi machine translation system in future. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
Cite this Research Publication : Sa Keerthana, Dhanalakshmi, Vb, M Kumar, A., Ajith, V. Pa, and Soman, K. Pa, “Tamil to Hindi machine transliteration using support vector machines”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, vol. 62 LNICST, pp. 262-264, 2012.