Abstract
Natural Language Processing is a field of computer science, AI and linguistics concerned with the interactions between computers and human (natural) languages. Specifically, computer extracts meaningful information from natural language input and/or producing natural language output. The major task in NLP is machine translation, which automatically translates text from one human language to another by preserving its meaning. This paper proposes new model for Machine-Translation system in which Rule-Based, Dictionary-Based approaches are applied for English-to-Kannada/Telugu Language-Identification and Machine Translation. The proposed method has four steps: first, Analyze and tokenize an English sentence into a string of grammatical nodes second, Map the input pattern with a table of English–Kannada/Telugu sentence patterns, third, Look-up the bilingual-dictionary for the equivalent Kannada/Telugu words, reorder and then generate output sentences and fourth step is to Display the output sentences. The future work will focus on sentence translation by using semantic features to make a more precise translation.
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Acknowledgments
I owe my sincere feelings of gratitude to Dr. M. Hanumanthappa, for his valuable guidance and suggestions which helped me a lot to write this paper. This is the major research project entitled Cross-Language Information Retrieval sanctioned to Dr. M. Hanumanthappa, PI-UGC-MH, Department of computer science and applications by the University grant commission. I thank to the UGC for financial assistance. This paper is in continuation of the project carried out at the Bangalore University, Bangalore, India.
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Reddy, M.V., Hanumanthappa, M. (2013). Indic Language Machine Translation Tool: English to Kannada/Telugu. In: Swamy, P., Guru, D. (eds) Multimedia Processing, Communication and Computing Applications. Lecture Notes in Electrical Engineering, vol 213. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1143-3_4
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DOI: https://doi.org/10.1007/978-81-322-1143-3_4
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