Improvements in Enhancing Bi-Lingual Machine Translation Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Computer Science & Engineering | India | Volume 8 Issue 5, May 2019

Improvements in Enhancing Bi-Lingual Machine Translation Approach

Manish Rana, Mohammad Atique

This paper shows the improvement carried in different phases of development made in Enhancing Bi-Lingual Machine Translation Approach. The work consists of three phases. The Initial phase, where the work was on the Improvement of the Machine interpretation, with assistance of Example based Machine interpretation utilizing Fuzzy device, then second phase describe further improvements using Long-Short Term Memory Concept ( LSTM) approach and Last phase describe utilizing Python and so forth. The proposed EBMT framework can be used for automatic translation of text by reusing the examples of previous translations through the use of Fuzzy which is proposed work.

Keywords: NLP, Fuzzy Logic, Bi-Lingual, EMBT, LSTM, Google_API

Edition: Volume 8 Issue 5, May 2019

Pages: 965 - 969

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How to Cite this Article?

Manish Rana, Mohammad Atique, "Improvements in Enhancing Bi-Lingual Machine Translation Approach", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20197671, Volume 8 Issue 5, May 2019, 965 - 969

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