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Modern Thamizh Sandhi Rules Generator in NLP
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Thamizh sandhi rules generator deals with addition, deletion, getting changes with existing Information and this adjoining letters/sandhi grammar rules processing with indirect/bi-lingual machine translation. This Modern Thamizh Sandhi Rules Generator is implemented under Unicode based Indic Script. Modern Thamizh sandhi generation is the initial stage of developing the Word Formation rules in Thamizh computational method.
Keywords
Thamizh Unicode, Diacritical Markings, Bilingual Machine Translation, Sandhi Rules, Computational Generator.
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- K. Rajan, V. Ramalingam and M. Ganesan, “Machine Learning for Sandhi Rules in Tamil”, Proceedings of the 11th International Conference INFITT, pp. 141-146, 2012.
- Manji Bhadra, Surjit Kumar Singh, Sachin Kumar, Subash, Muktanand Agrawal, R. Chandrasekhar, Sudhir K. Mishra, Girish Nath Jha, “Sanskrit Analysis System (SAS)”, Sanskrit Computational Linguistics, Vol. 5406, pp 116-133, 2009.
- Pawan Goyal, Vipul Arora and Laxmidhar Behara, “Analysis of Sanskrit Text: Parsing and Semantic Relations”, Sanskrit Computational Linguistics, pp. 200-218, 2009.
- Priyanka Gupta1 and Vishal Goyal, “Implementation of Rule Based Algorithm for Sandhi - Vicheda of Compound Hindi Words”, International Journal of Computer Science Issues, Vol. 3, pp. 45-49, 2009.
- Chimsuk Tawee and Surapong Auwatanamongkol, “An Incremental framework for a Thai-English Machine Translation System using a LFG tree structure as an Interlingual”, International Journal of Computer Science and Engineering, Vol. 2, No. 2, pp. 280-288, 2010.
- Judith Francisca Islam, Mohammad Mamun Mia and Dr. S. M. Monzurur Rahman, “Adapting rule based machine translation from English to Bangla”, Indian Journal of Computer Science and Engineering, Vol. 2, No. 3, pp. 334-342, 2011.
- S. Saraswathi, P. Kanivadhana, M. Anusiya and S. Sathiya, “Bilingual Translation System”, International Journal of Computer Science and Engineering, Vol. 3 No. 3, 2011.
- B. Krithika, V. Ramalingam and K. Rajan, “Performance of machine learning methods for classification tasks”, International Journal of Computer Science and Engineering, Vol. 5, No. 6, 2013.
- T. Kameswara Rao and T. V.Prasad, “Key Issues in Vowel Based Splitting of Telugu Bigrams”, International Journal of Advanced Computer Science and Applications: Special Issue on Natural Language Processing, pp. 9-16, 2014.
- Omar Shirko, Nazlia Omar, Haslina Arshad and Mohammed Albared, “Machine Translation of Noun Phrases from Arabic to English Using Transfer-Based Approach”, Journal of Computer Science, Vol. 6, No. 3, pp. 350-356, 2010.
- Arabic-Malay Machine Translation Using Rule-Based Approach, available at http://ww.itimes.com/citizen-journalism/arabic-malay-machine-translation-using-rule-based-approach.
- U. S. Tiwary and Tanveer Siddiqui, “Natural Language Processing and Information Retrieval”, Oxford University Press India, 2008 .
- http://en.wikipedia.org/wiki/Tamil_scrip
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