A Comprehensive Study of Machine Translation Tools and Evaluation Metrics

TLDR: In this article, the ideas of statistical and neural machine translation approaches were explored and various machine translation tools and machine translation evaluation metrics were also investigated, and some of the parameters were examined to carry the analysis of several translation tools, and evaluation metrics are also available for accessing the quality of machine translation.

Abstract: In this article, the ideas of statistical and neural machine translation approaches were explored. Various machine translation tools and machine translation evaluation metrics were also investigated. Nowadays, machine translation plays a key role in the society where different languages are spoken as it removes the language barrier and digital divide in the society by providing access to all information in the local language which a person can understand. There were different phases of machine translation as its evolution is concerned, and different approaches were followed in different phases some requiring an enormous amount of parallel corpus which is considered a crucial element of machine translation. In the proposed system, some of the parameters were examined to carry the analysis of several translation tools, and evaluation metrics are also available for accessing the quality of machine translation.