A REVIEW OF MACHINE TRANSLATION METHODS

A REVIEW OF MACHINE TRANSLATION METHODS

  BINGUMALLA SUDHEESH , BUDDAREDDYGARI NITHEESHKUMAR REDDY , AKULA LAKSHMI VENKATA PHANEENDRA

Abstract:

An effort to access information in other languages refers to the growth of a language conversion system with a wide range of properties and methods. The advantage of machine translation is frequently utilized by librarians and an information to fulfil the requirements of users Machine translation methods differ, and each has its own unique strengths and weaknesses. There is no translation tool will provide an exact copy of an original language, but it will provide a summary of content which can be used to understand with a sort of information is present in the source text. After producing translation results with a transcription system, sometimes it is necessary After being edited by a human translator, a text that was built heritage by an MT engine reaches its final form. In this article we are going to discusses the different methods used in language conversion, including dictionary-based, rule-based, corpus-based, and hybrid methods. Despite the fact that the Hybrid approach is better than all other ways since it incorporates the qualities of several translation methods, the study concludes that no optimal translation systems exist.

Keywords:

machine translation, corpus-based, rule based, hybrid machine translation, computational linguistics