A Transformer based approach using LSTM and Paraphrase reference to Translate English Text into Hindi-Reference-Cited by-同舟云学术

A Transformer based approach using LSTM and Paraphrase reference to Translate English Text into Hindi

Published:2023-08-14 Issue: Volume: Page:
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Author:

Sharma Surbhi¹,Joshi Nisheeth²

Affiliation:

1. Manipal University Jaipur

2. Banasthali University

Abstract

Abstract As many translation systems and applications, such as textual translation, speech systems, etc. use this approach very well with some constraints of grammatical accuracy and completeness, Machine translation is very old concept and work as an intermediary to perform cross-language communication in this age of the internet. Next, using SMT, these statements are translated into the target language without altering their original meaning Statistical Machine translation (SMT). In this paper, an English to Hindi Machine Translation system model was developed by employing the paraphrasing idea under the NMT tree (Neural Machine Translation). The metric scores produced by paraphrasing are closely like human utterances. In the proposed work, we develop a model that uses paraphrased references to convert plain English text into Hindi text. We will evaluate the translation's quality based on its sufficiency, fluency, and correspondence with human-predicted translation to determine how well this system replaces human expressions.

Publisher

Research Square Platform LLC

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