Machine Translation and Approaches: Review

Authors

  • Dr. M. Narendra, Dr. K.M. Rayudu, Dr. T. Sivaratna Sai, Satyanarayana Vittal, Narasimha Rao Nakka

DOI:

https://doi.org/10.17762/msea.v69i1.1598

Abstract

Code-mixing is the blending of at least two dialects or language assortments in discourse. It is utilized to allude to expressions that draw from components of at least two syntactic frameworks. Some work characterizes code-blending as the setting or blending of different phonetic units (attaches, words, phrases, provisos) from two distinct linguistic frameworks inside a similar sentence and discourse setting. This arising method of correspondence is turning out to be essential for everyday life correspondence in multilingual nations like India. Investigating these kinds of correspondences are very simple for people however for machines it turns into an intricate errand. The outcome of this paper is to examine various methodologies of machine translation, their pertinence for code-mixing and furthermore the moves that should be tended to. It likewise presents rules for future examination work.

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Published

2023-01-12

How to Cite

Dr. M. Narendra, Dr. K.M. Rayudu, Dr. T. Sivaratna Sai, Satyanarayana Vittal, Narasimha Rao Nakka. (2023). Machine Translation and Approaches: Review. Mathematical Statistician and Engineering Applications, 69(1), 161–175. https://doi.org/10.17762/msea.v69i1.1598

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Articles