Machine Translation Accuracy by Focusing on Gender Issues for English to Hindi Translation

Beenu Yadav

Abstract: In English-Hindi machine translation, it is an important task to determine the gender of names correctly. When a sentence having only one subject is given as a pronoun and is composed of two or more clauses, then it is important to determine the gender of the proper noun for correct translation of the given sentence. In order to overcome these issues numerous methods have been proposed. In this particular research paper we focus on the gender identification issues from English to Hindi translation. This paper proposes statistical method for the given problem by focusing on Hindu names. Proposed method yields the improvement in accuracy. This means that the proposed solution is more plausible for the gender classification of the Hindu names.

Keywords: statistical method, machine translation, named-entity recognition, natural language processing

How to Cite?: Beenu Yadav, "Machine Translation Accuracy by Focusing on Gender Issues for English to Hindi Translation", Volume 11 Issue 5, May 2022, International Journal of Science and Research (IJSR), Pages: 205-207, https://www.ijsr.net/getabstract.php?paperid=SR22427172605, DOI: https://dx.doi.org/10.21275/SR22427172605