Research Article

Latent Semantic Analysis and Machine Translation

Authors

  • Mahmoud Mobaraki Assistant Professor, Linguistic Department, Faculty of Humanities , Jahrom University, Iran, Jahrom
  • Abolfazl Mosaffa Jahromi Assistant Professor, Linguistic Department, Faculty of Humanities, Jahrom University, Iran, Jahrom

Abstract

Computer-based translation systems are not rivals to human translators, but they are aids to enable them to increase productivity in technical translation. Machine translation aims to undertake the whole translation process, but whose input must invariably be revised. Latent Semantic Analysis and Probabilistic Latent Semantic Analysis are two newly developed computational models which their application in machine translation will solve some of the problems facing machines in accounting for the way human knowledge is comprehended.

Article information

Journal

International Journal of Linguistics, Literature and Translation

Volume (Issue)

1 (4)

Pages

35-43

Published

2018-11-30

How to Cite

Mobaraki, M. ., & Jahromi, A. M. . (2018). Latent Semantic Analysis and Machine Translation. International Journal of Linguistics, Literature and Translation, 1(4), 35-43. https://al-kindipublisher.com/index.php/ijllt/article/view/323

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Keywords:

computational linguistics, latent semantic analysis (LSA), probabilistic latent semantic analysis (PLSA), machine translation, coherence, irony