JOURNAL ARTICLE

Language Transliteration with LSTM Encoder-Decoder Model

Abstract

It's a fact that humans are social creatures and, in their life, they love to communicate their family and musketeers. Communication is a veritably necessary thing in moment's life. Communication can be of colorful types, like drooling, news, announcements, etc. Whenever we talk on Facebook, WhatsApp, or Twitter we've seen that people aren't veritably particular about expressing themselves in pure Hindi and pure English, but they tend to mix them up which troubles to a lot of people. Also, occasionally happens that people can not figure out what to write in a formal way. So, we then are making a platform which will convert their mixed English and Hindi language to pure Devanagari form. Which will help them to make a better discussion and help them to increase their cling. To make this be we've made a dataset of English and Hinglish words each defined whether its English or Hindi in front of them and their Devanagari conversion of each. In this way, people can express themselves more freely and directly.

Keywords:
Hindi Devanagari Computer science Artificial intelligence Natural language processing Transliteration Speech recognition

Metrics

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Cited By
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FWCI (Field Weighted Citation Impact)
33
Refs
0.21
Citation Normalized Percentile
Is in top 1%
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Topics

Smart Systems and Machine Learning
Physical Sciences →  Computer Science →  Computer Networks and Communications
Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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