Neural Machine Translation: English to Hindi

Laskar, Sahinur Rahman; Dutta, Abinash; Bandyopadhyay, Sivaji

doi:10.1109/cict48419.2019.9066238

Cited by 21 publications

(2 citation statements)

References 8 publications

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“…Neural machine translation (NMT) is a machine translation technique that uses an artificial neural network to estimate the likelihood of a word sequence and often models full sentences in a single integrated model. A neural network-based translation approach has been used to overcome Statistical Machine Translation (SMT) limitations, such as accuracy and context analysing ability [Laskar et al, 2019]. NMT use only a fraction of the memory compared to conventional SMT models.…”

Section: B Neural Machine Translationmentioning

confidence: 99%

Active Learning for Neural Machine Translation

Vashistha

Singh

Ramakant³

2023

SSRN Journal

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Section: B Neural Machine Translationmentioning

confidence: 99%

Active Learning for Neural Machine Translation

Vashistha

Singh

Ramakant³

2023

SSRN Journal

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“…The Literature Survey involves studying about many machine translation systems like Rule-Based Machine Translation (RBMT) [3], Corpus-Based Machine Translation (CBMT) [4], Hybrid-Based Machine Translation (HBMT) [5], Neural Machine Translation (NMT) [6] along with Google Translation System (GTS) [7]. The paper published by Sabine Hunsicker, talks about HBMT being a combination of two or more machine translation techniques where the advantages of the individual techniques are combined to achieve an overall better translation.…”

Section: Literature Surveymentioning

confidence: 99%

Machine Translation Systems for English Captions to Hindi Language Using Deep Learning

Singh,

Bhase,

Jain

et al. 2022

ITM Web Conf.

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Machine Translation is the process of translating text from one language to another which helps to reduce the conversation gap among people from different cultural backgrounds. The task performed by the Machine Translation System is to automatically translate between pairs of different natural languages, where Neural Machine Translation System stands out from all because it provides fluent translation along with reasonable translation accuracy. The Convolution Neural Network encoder is used to find patterns in the images and encode it into a vector that is passed to the Long Short Term Memory decoder which finds the caption word-by-word to best describe the image. Upon reaching the end-line token, the entire description of the image in English is generated and that is our output for that particular image. Automatically creating the description of an image in English using any natural language sentences and then translating it using Neural Machine Translation to Hindi is a very challenging task. It requires expertise in both image processing as well as natural language processing. In this paper, the aim is to compare the two Machine Translation Systems: Google Translation System and the proposed Neural Machine Translation System to convert the text obtained from an image in English to Hindi language.

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Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0

Tyagi

Bhushan

2023

Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

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Neural Machine Translation: English to Hindi

Cited by 21 publications

References 8 publications

Active Learning for Neural Machine Translation

Active Learning for Neural Machine Translation

Machine Translation Systems for English Captions to Hindi Language Using Deep Learning

Natural Language Processing (NLP) Based Innovations for Smart Healthcare Applications in Healthcare 4.0

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