Analysis of Machine Translation Tools for Translating Sentences from English to Malayalam and Vice Versa

Abstract

Language is considered to be as an effective way to communicate each person's thoughts and expressions. In this multilingual globe, there has become a need for an automated system for converting creations into one language to another. Researches in Natural Language Processing (NLP) have familiarized the world with various machine translation tools. The existing range of machine translation tools differs in the way in which the translations are generated. Some of the commonly used approaches in machine translation are rules, example, statistical syntactic and hybrid based. Artificial neural network (ANN) is used by Google neural machine translation (GNMT), in the translation process. This paper presents the outcome of an analysis of the existing systems of machine translation tools based on the translations that has been conducted between two languages such as English and Malayalam. The paper also focuses on the different types of ambiguities such as lexical, structural and semantic that can occur during a translation. The comparative study which was carried out on eleven machine translation tools available on the web for carrying out the required translation is described in this paper with examples. Within the framework of this paper, we have carried out a study to identify current knowledge, the results and disadvantages in the outline of the automatic translation tools currently available for significant sentence translation between the languages English and Malayalam.