Juxtaposing Urdu to English Captions of Facebook/ Metaverse: A Neural Machine Translation Study

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Abstract

Facebook/ Metaverse is a world-leading social networking platform that is equally popular in the world that is equally popular globally Due to the diversity of its users, Facebook is dedicated to improving its Machine Translation (MT) to refine the communication process and remove linguistic hurdles for efficient communication. Recently, Metaverse has started Neural Machine Translation (NMT) for the improvement of translation. NMT uses artificial neural networks to predict a more appropriate word choice and sequence. This research investigates the efficiency of Neural Machine Translation (NMT) in translating text from Urdu to the English language. The Oxford Urdu English Dictionary and FARHANG E AASFIA dictionaries have been used as validation parameters in translation. The semantic and syntactic errors have been segregated and categorized with Antoine Berman’s Twelve Deforming Tendencies for rectification. Major findings reveal that the most frequent errors result from transliteration that damages the semantic and syntactic structure of the text.

Authors

1-Zafar Ullah
Instructor, Virtual University, Islamabad, Pakistan.

2-Muhammad Farooq Alam
Assistant Professor, University of NUML, Rawalpindi, Punjab, Pakistan.

3-Wishma Ihsan
MPhil English Scholar, University of NUML, Islamabad, Pakistan.

Keywords

Facebook/ Metaverse, Machine Translation (MT), Neural Machine Translation (NMT), Artificial Neural Networks

DOI Number

10.31703/glr.2022(VII-II).05


Page Nos

55 ‒ 66

Volume & Issue

VII - II

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Published: Mar 2022

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