[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 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
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 …
numerous linguistics require technology for translation. It aids in research for ancient …
Corpus based machine translation system with deep neural network for Sanskrit to Hindi translation
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 …
Sanskrit domain is to translate the life-transforming stories (epics), Vedas etc. to make them …
Enhancing Low-Resource Sanskrit-Hindi Translation through Deep Learning with Ayurvedic Text
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 …
because it can persevere continues data over a range of input and output phrase lengths …
An adaptive wordpiece language model for learning chinese word embeddings
Word representations are crucial for many nature language processing tasks. Most of the
existing approaches learn contextual information by assigning a distinct vector to each word …
existing approaches learn contextual information by assigning a distinct vector to each word …
Analysis on bilingual machine translation systems for English and Tamil
G Sangavi, K Mrinalini… - … on Computation of …, 2016 - ieeexplore.ieee.org
Language in any form is the fundamental requirement to communicate and interact within
the human society. In this globalization era, we interact with people from different regions …
the human society. In this globalization era, we interact with people from different regions …
A comparison of machine translation methods for Natural Language Processing and their challenges
Abstract Machine translation (MT) plays an important role in natural language processing
(NLP) to automate the translation of different natural languages. Machine translation (MT) …
(NLP) to automate the translation of different natural languages. Machine translation (MT) …
[PDF][PDF] Enhancing Bi-Lingual Example Based Machine Translation Approach
This research paper shows the implementation of the work carried in machine translation
using machine learning algorithm taking in consideration bi-lingual ie English to Hindi …
using machine learning algorithm taking in consideration bi-lingual ie English to Hindi …
[CITATION][C] Prediction of movie success for real world movie dataset
S Pramod, A Joshi, AG Mary - Int. J. of Advance Res., Ideas and Innovations in …, 2017