Improving the accuracy of English-Arabic statistical sentence alignment

  title={Improving the accuracy of English-Arabic statistical sentence alignment},
  author={Mohammad Salameh and Rached Zantout and Nashat Mansour},
  journal={Int. Arab J. Inf. Technol.},
Multilingual natural language processing systems are increasingly relying on parallel corpus to ameliorate their output. Parallel corpora constitute the basic block for training a statistical natural language processing system and creating translation and language models. Several systems have been devised that automatically align words of a pair of sentences, each in a language. Such systems have been used successfully with European languages. In this paper, one such system is used to align… CONTINUE READING
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  • A. Guessoum, R. Zantout
  • 2007
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  • L. Hamandi, I. Damaj, R. Zantout, A. Guessoum
  • Proceedings of CIBITIC, Lebanon, pp. 455-459…
  • 2006
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  • N. Aswani, R. Gaizaukas
  • Proceedings of the ACL Workshop on Building and…
  • 2005
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