English to Meiteilon Machine Translation Using Seq2Seq with Long Short-Term Memory

Neural Machine Translation (NMT) is a cutting-edg
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strategy that has produced significant advancements in the field of machine translation for translating one language into another when compared to more conventional methods. The people of India speak their distinct regional languages for communication. Given the wide variety of languages in India, translation of language is crucial. However, it is nearly impossible for a human to translate one language into another language. This is achievable through Neural Machine Translation. English is offered as a second additional official language in India. However, India uses English extremely little, creating a communication gap. Numerous web applications translate one language to another language. Some of these are Google Translate, Translate, Deep Learning, and Microsoft Translator. But these applications do not support the regional languages. This paper aims to propose a language translation model using a sequence-to-sequence model with Long Short-Term Memory (LSTM) for translating English to Meiteilon.