Language Interpretation Using Machine Learning

Wouldn't it be cool for your device to translate English language into the language you speak in real life and vice versa?Understanding multiple languages can be a challenging task for humans.In a country like India, where there are over 22 recognized languages, it can be nearly impossible for an individual to learn and comprehend all of them.Consequently, communicating effectively in such a diverse linguistic environment can pose significant obstacles, forcing the need of human interpreters.An interpreter is a platform which translates what is being said in one language into another language without changing its original meaning.Google Translate is one such existing platform but it has drawbacks like not ideal for confidential documents, cannot provide a perfectly accurate translation and requires internet connection to translate.Our goal is to address the limitations mentioned earlier, and to accomplish this objective, we have come up with a project idea that involves real-time translation of spoken languages.The project aims to achieve this by using audio as an input.The proposed system will take real-time English audio as an input, translate it into Telugu and then will produce audio output in Telugu and vice versa.As English is the third most spoken native language in the world after Chinese and Spanish and also the most widely used, we chose to convert the text from English to Telugu and vice versa.Our intention is to utilize a Sequence-to-Sequence model as it is proficient in performing language translations.This model works by transforming a sequence of words from one language into a sequence of different words in another language.It uses neural network for sequence learning.