English to Hindi Machine Translator Using GMT and RBMT Approach
This research focuses on development of Grammar mapping technique and Rules Based Machine Translation (RBMT) approach for English to Hindi machine translator. Development of a machine translation (MT) system typically demands a large volume of computational resources. Rule based MT systems require extraction of syntactic and semantic knowledge in the form of rules. In this research I have to focus on grammar matching rule of both type of language (Source language and Target language).
KeywordsMachine translator (MT) Grammar mapping technique(GMT) Rules based machine translator(RBMT) Subject verb object(SVO) Subject object verb (SOV)
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- 1.Martin, J.: Chapter 20 Natural language Generation and Chapter 21 Machine Translation. In: Speech and Language Processing (2005) (Fourth Indian Reprint)Google Scholar
- 2.Probst, K.: Learning Transfer Rules for Machine Translation with Limited Data, August 15. Language Technologies Institute School of Computer Science Carnegie Mellon University Pittsburgh, Pennsylvania (2005)Google Scholar
- 3.Gupta, D.: Contributions to English to Hindi Machine Translation using Example-based approach, New Delhi-110016, India. Department of Mathematics Indian Institute of Technology Delhi Hauzkhas (January 2005)Google Scholar
- 4.Word Alignment in English-Hindi Parallel Corpus Using Recency Vector Approach: Some Studies Chatterjee, N., Dept. of Mathematics, Indian Institute of echnology Delhi Hauz Khas, New Delhi, Agrawal, S., Department of Mathematics, Indian Institute of Technology Kharagpur, West Bengal, INDIA - 721302Google Scholar
- 5.Chang, J.-S., Su, K.-Y.: Corpus-Based Statistics-Oriented (CBSO) Machine Translation. Researches in Taiwan. Behavior Design Corporation 2F, No. 5, Industrial East Road IV, Science- Based Industrial Park, Hsinchu, Taiwan 30077, R.O.CGoogle Scholar