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English to Tamil statistical machine translation and alignment using HMM

Published: 20 February 2010 Publication History

Abstract

This paper describes English to Tamil statistical machine translation and its alignment using Hidden Markov Model (HMM).Statistical machine translation is a part of natural language processing and is based on probability distribution. Machine translation is a sub-field of computational linguistics that uses computer software to translate text in one natural language to another language. Alignment is one of the major challenges in machine translation .Hidden markov model (HMM) based alignment described in this paper is more accurate, avoids invalid alignments and improves translation quality. HMM uses bigram translation probabilities for keeping word context in the language model which produce close to error-free output that reads fluently in the target language.

References

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Hongfei Jiang, Muyun Yang, Tiejun Zhao, Sheng Li and Bo Wang "A Statistical Machine Translation Model Based on a Synthetic Synchronous Grammar", Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, pages 125-128,Suntec, Singapore, 4 August 2009.
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R. Ravi and S. Kailasam "Computer Vision of Single to Multi-Language Translation using Statistical Machine Translation", TIFAC-CORE, Kalasalingam University, Tamilnadu.
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Published In

cover image Guide Proceedings
ICNVS'10: Proceedings of the 12th international conference on Networking, VLSI and signal processing
February 2010
342 pages
ISBN:9789604741625

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World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

Publication History

Published: 20 February 2010

Author Tags

  1. bigram translation probability
  2. hidden Markov model
  3. phrase alignment
  4. statistical machine translation
  5. translation model
  6. word alignment

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