A comprehensive survey on machine translation for English, Hindi and Sanskrit languages

Sitender, S Bawa, M Kumar, Sangeeta - Journal of Ambient Intelligence …, 2023 - Springer
Transforming text from one language to another by using computer systems automatically or
with little human interventions is known as Machine Translation System (MTS). Divergence …

[Retracted] Machine Translation System Using Deep Learning for English to Urdu

SAB Andrabi, A Wahid - Computational intelligence and …, 2022 - Wiley Online Library
Machine translation is an ongoing field of research from the last decades. The main aim of
machine translation is to remove the language barrier. Earlier research in this field started …

Machine translation systems for Indian languages: review of modelling techniques, challenges, open issues and future research directions

M Singh, R Kumar, I Chana - Archives of Computational Methods in …, 2021 - Springer
With the advancement in computer language technology in a multilingual country like India,
numerous linguistics require technology for translation. It aids in research for ancient …

Neural machine translation system for English to Indian language translation using MTIL parallel corpus

B Premjith, MA Kumar, KP Soman - Journal of Intelligent Systems, 2019 - degruyter.com
Introduction of deep neural networks to the machine translation research ameliorated
conventional machine translation systems in multiple ways, specifically in terms of …

Corpus based machine translation system with deep neural network for Sanskrit to Hindi translation

M Singh, R Kumar, I Chana - Procedia Computer Science, 2020 - Elsevier
Sanskrit language is the mother of almost all Indian languages. The main requirement in
Sanskrit domain is to translate the life-transforming stories (epics), Vedas etc. to make them …

Malayalam natural language processing: challenges in building a phrase-based statistical machine translation system

MP Sebastian - ACM transactions on Asian and low-resource language …, 2023 - dl.acm.org
Statistical Machine Translation (SMT) is a preferred Machine Translation approach to
convert the text in a specific language into another by automatically learning translations …

A Sanskrit-to-English machine translation using hybridization of direct and rule-based approach

Sitender, S Bawa - Neural Computing and Applications, 2021 - Springer
The work in this paper presents a MTS from Sanskrit to English language using a hybridized
form of direct and rule-based machine translation technique. This paper also discusses the …

Hybridization based machine translations for low-resource language with language divergence

N Sethi, A Dev, P Bansal, DK Sharma… - ACM Transactions on …, 2022 - dl.acm.org
A hybridised form of direct and rule-based language processing is used in this paper to
present a Machine translation system from Sanskrit to Hindi. The divergence between …

Enhancing Low-Resource Sanskrit-Hindi Translation through Deep Learning with Ayurvedic Text

N Sethi, A Dev, P Bansal, DK Sharma… - ACM Transactions on …, 2023 - dl.acm.org
The Machine Translation (MT) community is interested in Neural Machine Translation (NMT)
because it can persevere continues data over a range of input and output phrase lengths …

Computational model of grammar for english to sinhala machine translation

B Hettige, AS Karunananda - … on Advances in ICT for Emerging …, 2011 - ieeexplore.ieee.org
Development of the computational model of grammar for highly inflected language is a
complex task and it is also essential to develop rule-based machine translation systems …