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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Faiyaz Ahmad
Jamia Millia Islamia

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Hindi to English transliteration using multilayer gated recurrent units Mohd Zeeshan Ansari; Tanvir Ahmad; Mirza Mohd Sufyan Beg; Faiyaz Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 2: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i2.pp1083-1090

Abstract

Transliteration is the task of translating text from source script to target script provided that the language of the text remains the same. In this work, we perform transliteration on less explored Devanagari to Roman Hindi transliteration and its back transliteration. The neural transliteration model in this work is based on a sequence-to-sequence neural network that is composed of two major components, an encoder that transforms source language words into a meaningful representation and the decoder that is responsible for decoding the target language words. We utilize gated recurrent units (GRU) to design the multilayer encoder and decoder network. Among the several models, the multilayer model shows the best performance in terms of coupon equivalent rate (CER) and word error rate (WER). The method generates quite satisfactory predictions in Hindi-English bilingual machine transliteration with WER of 64.8% and CER of 20.1% which is a significant improvement over existing methods.
Co-Authors Mirza Mohd Sufyan Beg Mohd Zeeshan Ansari Tanvir Ahmad